├── .gitignore
├── .python-version
├── LICENSE
├── README.md
├── images
├── bind_app.png
├── create_workflow.png
├── debug_workflow.png
└── publish_workflow.png
├── poetry.lock
├── pyproject.toml
├── src
├── mcp_server
│ ├── __init__.py
│ ├── entities
│ │ ├── flow.py
│ │ └── ifly_client.py
│ └── server.py
└── test
│ ├── __init__.py
│ ├── pytest.ini
│ ├── test_ifly_api.py
│ └── test_server.py
└── uv.lock
/.gitignore:
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1 | # Python-generated files
2 | __pycache__/
3 | *.py[oc]
4 | build/
5 | dist/
6 | wheels/
7 | *.egg-info
8 |
9 | # Virtual environments
10 | .venv
11 |
12 | # custom
13 | .vscode
14 | config.yaml
15 | .idea
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/.python-version:
--------------------------------------------------------------------------------
1 | 3.11.11
2 |
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/LICENSE:
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1 | MIT License
2 |
3 | Copyright (c) 2025 iFLYTEK
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 |
2 |
3 |
4 |
5 | The fastest way to build workflows with an AI agent platform!
6 |
7 |
8 |
9 |
10 | |
11 |
12 | Docs
13 | |
14 |
15 | Homepage
16 |
17 |
18 |
19 | # iFlytek Workflow MCP Server
20 |
21 | [The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol designed for effortless integration between LLM applications and external data sources or tools, offering a standardized framework to seamlessly provide LLMs with the context they require.
22 |
23 | This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
24 |
25 | ## Features
26 |
27 | ### Functional Overview
28 |
29 | This system is built on the iFlytek MCP server and enables intelligent workflow scheduling, making it suitable for various business scenarios.
30 |
31 | - **Workflow Structure**: Composed of multiple nodes, supporting 14 types of nodes (including basic, tool, logic, and transformation types).
32 | - **Core Components**: By default, the workflow includes a **Start Node** (user input) and an **End Node** (output result).
33 | - **Execution Mode**: Once triggered, the workflow executes automatically according to predefined sequences and rules, requiring no manual intervention.
34 |
35 | ### Core Capabilities
36 |
37 | #### **Robust Node Support**
38 |
39 | - 14 types of workflow nodes to meet diverse business requirements.
40 | - Supports **complex variable I/O**, enabling flexible data transmission.
41 |
42 | #### **Advanced Orchestration Modes**
43 |
44 | - **Sequential Execution**: Tasks execute one after another in order.
45 | - **Parallel Execution**: Multiple tasks run simultaneously to enhance efficiency.
46 | - **Loop Execution**: Supports iterative loops for handling repetitive tasks.
47 | - **Nested Execution**: Allows embedding sub-workflows within workflows, improving reusability.
48 | - Utilizes the **Hook Mechanism** to enable **streaming output**, ensuring real-time processing.
49 |
50 | #### **Multiple Development Paradigms**
51 |
52 | - **Single-turn, single-branch**: Linear execution of simple tasks.
53 | - **Single-turn, multi-branch**: Supports branching logic to handle complex processes.
54 | - **Single-turn loop**: Manages looped tasks to enhance automation.
55 | - **Multi-turn interaction**: Supports context memory for dynamic conversations.
56 |
57 | ### Capability Expansion
58 |
59 | - **Multi-Model Support**: Based on the **Model of Models (MoM)** hybrid application architecture, providing multiple model choices at critical workflow stages. This allows for flexible model combinations, improving task adaptability.
60 |
61 |
62 |
63 | ## Usage with MCP client
64 |
65 | ### Prepare config.yaml
66 |
67 | Before using the mcp server, you should prepare a config.yaml to save your workflow info. The example config like this:
68 |
69 | ```yaml
70 | - flow_id: 'flow id' # required
71 | name: 'flow name' # optional, if not set, obtain the name from the cloud.
72 | description: 'flow description' # optional, if not set, obtain the description from the cloud.
73 | api_key: 'API Key:API Secret' # required
74 | ```
75 |
76 | #### Get workflow authentication information
77 | 1. [Create a bot](https://xinghuo.xfyun.cn/botcenter/createbot)
78 | 
79 |
80 | 2. Publish a workflow
81 | - **Step 1.** Debug the workflow you just created.
82 | - **Step 2.** Engage in a conversation with your workflow and ensure the conversation is successful.
83 | - **Step 3.** You can now click the publish button.
84 | 
85 | - **Step 4.** Select "Publish as API" and click the "Configure" button.
86 | 
87 | - **Step 5.** Select the application you need to bind and bind it. Now you can retrieve the corresponding workflow ID and authentication information. Enjoy!
88 | 
89 | > **Note**: If you find that you are unable to select an app, you can go to https://www.xfyun.cn to apply.
90 | ### Manual Installation
91 |
92 | To add a persistent client, add the following to your `claude_desktop_config.json` or `mcp.json` file:
93 |
94 | ```json
95 | {
96 | "mcpServers": {
97 | "ifly-workflow-mcp-server": {
98 | "command": "uvx",
99 | "args": [
100 | "--from",
101 | "git+https://github.com/iflytek/ifly-workflow-mcp-server",
102 | "ifly_workflow_mcp_server"
103 | ],
104 | "env": {
105 | "CONFIG_PATH": "$CONFIG_PATH"
106 | }
107 | }
108 | }
109 | }
110 | ```
111 |
112 |
113 |
114 | Example config:
115 |
116 | ```json
117 | {
118 | "mcpServers": {
119 | "ifly-workflow-mcp-server": {
120 | "command": "uvx",
121 | "args": [
122 | "--from",
123 | "git+https://github.com/iflytek/ifly-workflow-mcp-server",
124 | "ifly_workflow_mcp_server"
125 | ],
126 | "env": {
127 | "CONFIG_PATH": "/Users/hygao1024/Projects/config.yaml"
128 | }
129 | }
130 | }
131 | }
132 | ```
133 |
134 |
135 |
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/images/bind_app.png:
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/images/create_workflow.png:
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/images/debug_workflow.png:
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/images/publish_workflow.png:
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https://raw.githubusercontent.com/iflytek/ifly-workflow-mcp-server/8926620b3e8c0c1245cc46acf011dd6d432ca30d/images/publish_workflow.png
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/poetry.lock:
--------------------------------------------------------------------------------
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2 |
3 | [[package]]
4 | name = "annotated-types"
5 | version = "0.7.0"
6 | description = "Reusable constraint types to use with typing.Annotated"
7 | optional = false
8 | python-versions = ">=3.8"
9 | groups = ["main"]
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14 |
15 | [[package]]
16 | name = "antlr4-python3-runtime"
17 | version = "4.9.3"
18 | description = "ANTLR 4.9.3 runtime for Python 3.7"
19 | optional = false
20 | python-versions = "*"
21 | groups = ["main"]
22 | files = [
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24 | ]
25 |
26 | [[package]]
27 | name = "anyio"
28 | version = "4.9.0"
29 | description = "High level compatibility layer for multiple asynchronous event loop implementations"
30 | optional = false
31 | python-versions = ">=3.9"
32 | groups = ["main"]
33 | files = [
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37 |
38 | [package.dependencies]
39 | idna = ">=2.8"
40 | sniffio = ">=1.1"
41 | typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
42 |
43 | [package.extras]
44 | doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
45 | test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
46 | trio = ["trio (>=0.26.1)"]
47 |
48 | [[package]]
49 | name = "certifi"
50 | version = "2025.1.31"
51 | description = "Python package for providing Mozilla's CA Bundle."
52 | optional = false
53 | python-versions = ">=3.6"
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161 |
162 | [[package]]
163 | name = "click"
164 | version = "8.1.8"
165 | description = "Composable command line interface toolkit"
166 | optional = false
167 | python-versions = ">=3.7"
168 | groups = ["main"]
169 | files = [
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172 | ]
173 |
174 | [package.dependencies]
175 | colorama = {version = "*", markers = "platform_system == \"Windows\""}
176 |
177 | [[package]]
178 | name = "colorama"
179 | version = "0.4.6"
180 | description = "Cross-platform colored terminal text."
181 | optional = false
182 | python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
183 | groups = ["main"]
184 | markers = "platform_system == \"Windows\" or sys_platform == \"win32\""
185 | files = [
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189 |
190 | [[package]]
191 | name = "h11"
192 | version = "0.14.0"
193 | description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
194 | optional = false
195 | python-versions = ">=3.7"
196 | groups = ["main"]
197 | files = [
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200 | ]
201 |
202 | [[package]]
203 | name = "httpcore"
204 | version = "1.0.7"
205 | description = "A minimal low-level HTTP client."
206 | optional = false
207 | python-versions = ">=3.8"
208 | groups = ["main"]
209 | files = [
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212 | ]
213 |
214 | [package.dependencies]
215 | certifi = "*"
216 | h11 = ">=0.13,<0.15"
217 |
218 | [package.extras]
219 | asyncio = ["anyio (>=4.0,<5.0)"]
220 | http2 = ["h2 (>=3,<5)"]
221 | socks = ["socksio (==1.*)"]
222 | trio = ["trio (>=0.22.0,<1.0)"]
223 |
224 | [[package]]
225 | name = "httpx"
226 | version = "0.28.1"
227 | description = "The next generation HTTP client."
228 | optional = false
229 | python-versions = ">=3.8"
230 | groups = ["main"]
231 | files = [
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234 | ]
235 |
236 | [package.dependencies]
237 | anyio = "*"
238 | certifi = "*"
239 | httpcore = "==1.*"
240 | idna = "*"
241 |
242 | [package.extras]
243 | brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
244 | cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
245 | http2 = ["h2 (>=3,<5)"]
246 | socks = ["socksio (==1.*)"]
247 | zstd = ["zstandard (>=0.18.0)"]
248 |
249 | [[package]]
250 | name = "httpx-sse"
251 | version = "0.4.0"
252 | description = "Consume Server-Sent Event (SSE) messages with HTTPX."
253 | optional = false
254 | python-versions = ">=3.8"
255 | groups = ["main"]
256 | files = [
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259 | ]
260 |
261 | [[package]]
262 | name = "idna"
263 | version = "3.10"
264 | description = "Internationalized Domain Names in Applications (IDNA)"
265 | optional = false
266 | python-versions = ">=3.6"
267 | groups = ["main"]
268 | files = [
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271 | ]
272 |
273 | [package.extras]
274 | all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
275 |
276 | [[package]]
277 | name = "iniconfig"
278 | version = "2.1.0"
279 | description = "brain-dead simple config-ini parsing"
280 | optional = false
281 | python-versions = ">=3.8"
282 | groups = ["main"]
283 | files = [
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286 | ]
287 |
288 | [[package]]
289 | name = "mcp"
290 | version = "1.5.0"
291 | description = "Model Context Protocol SDK"
292 | optional = false
293 | python-versions = ">=3.10"
294 | groups = ["main"]
295 | files = [
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297 | {file = "mcp-1.5.0.tar.gz", hash = "sha256:5b2766c05e68e01a2034875e250139839498c61792163a7b221fc170c12f5aa9"},
298 | ]
299 |
300 | [package.dependencies]
301 | anyio = ">=4.5"
302 | httpx = ">=0.27"
303 | httpx-sse = ">=0.4"
304 | pydantic = ">=2.7.2,<3.0.0"
305 | pydantic-settings = ">=2.5.2"
306 | sse-starlette = ">=1.6.1"
307 | starlette = ">=0.27"
308 | uvicorn = ">=0.23.1"
309 |
310 | [package.extras]
311 | cli = ["python-dotenv (>=1.0.0)", "typer (>=0.12.4)"]
312 | rich = ["rich (>=13.9.4)"]
313 | ws = ["websockets (>=15.0.1)"]
314 |
315 | [[package]]
316 | name = "omegaconf"
317 | version = "2.3.0"
318 | description = "A flexible configuration library"
319 | optional = false
320 | python-versions = ">=3.6"
321 | groups = ["main"]
322 | files = [
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325 | ]
326 |
327 | [package.dependencies]
328 | antlr4-python3-runtime = "==4.9.*"
329 | PyYAML = ">=5.1.0"
330 |
331 | [[package]]
332 | name = "packaging"
333 | version = "24.2"
334 | description = "Core utilities for Python packages"
335 | optional = false
336 | python-versions = ">=3.8"
337 | groups = ["main"]
338 | files = [
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341 | ]
342 |
343 | [[package]]
344 | name = "pip"
345 | version = "25.0.1"
346 | description = "The PyPA recommended tool for installing Python packages."
347 | optional = false
348 | python-versions = ">=3.8"
349 | groups = ["main"]
350 | files = [
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353 | ]
354 |
355 | [[package]]
356 | name = "pluggy"
357 | version = "1.5.0"
358 | description = "plugin and hook calling mechanisms for python"
359 | optional = false
360 | python-versions = ">=3.8"
361 | groups = ["main"]
362 | files = [
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365 | ]
366 |
367 | [package.extras]
368 | dev = ["pre-commit", "tox"]
369 | testing = ["pytest", "pytest-benchmark"]
370 |
371 | [[package]]
372 | name = "pydantic"
373 | version = "2.10.6"
374 | description = "Data validation using Python type hints"
375 | optional = false
376 | python-versions = ">=3.8"
377 | groups = ["main"]
378 | files = [
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381 | ]
382 |
383 | [package.dependencies]
384 | annotated-types = ">=0.6.0"
385 | pydantic-core = "2.27.2"
386 | typing-extensions = ">=4.12.2"
387 |
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699 | version = "4.12.2"
700 | description = "Backported and Experimental Type Hints for Python 3.8+"
701 | optional = false
702 | python-versions = ">=3.8"
703 | groups = ["main"]
704 | files = [
705 | {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
706 | {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
707 | ]
708 |
709 | [[package]]
710 | name = "urllib3"
711 | version = "2.3.0"
712 | description = "HTTP library with thread-safe connection pooling, file post, and more."
713 | optional = false
714 | python-versions = ">=3.9"
715 | groups = ["main"]
716 | files = [
717 | {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
718 | {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
719 | ]
720 |
721 | [package.extras]
722 | brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
723 | h2 = ["h2 (>=4,<5)"]
724 | socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
725 | zstd = ["zstandard (>=0.18.0)"]
726 |
727 | [[package]]
728 | name = "uvicorn"
729 | version = "0.34.0"
730 | description = "The lightning-fast ASGI server."
731 | optional = false
732 | python-versions = ">=3.9"
733 | groups = ["main"]
734 | files = [
735 | {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
736 | {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
737 | ]
738 |
739 | [package.dependencies]
740 | click = ">=7.0"
741 | h11 = ">=0.8"
742 |
743 | [package.extras]
744 | standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"]
745 |
746 | [metadata]
747 | lock-version = "2.1"
748 | python-versions = ">=3.11"
749 | content-hash = "ab195446cdce0981d682dcd893e417114fcca02f38ee8ff178ea62c4832a2af1"
750 |
--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
1 | [project]
2 | name = "ifly-workflow-mcp-server"
3 | version = "1.0.0"
4 | description = "This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools."
5 | readme = "README.md"
6 | requires-python = ">=3.11"
7 | dependencies = [
8 | "httpx==0.28.1",
9 | "mcp==1.5.0",
10 | "pip==25.0.1",
11 | "pytest==8.3.5",
12 | "python-dotenv==1.0.1",
13 | "requests==2.32.3",
14 | "pyyaml==6.0.2"
15 | ]
16 |
17 | [build-system]
18 | requires = ["hatchling", ]
19 | build-backend = "hatchling.build"
20 |
21 | [project.scripts]
22 | ifly_workflow_mcp_server = "mcp_server:main"
23 |
24 | [tool.hatch.build.targets.wheel]
25 | packages = ["src/mcp_server"]
26 |
--------------------------------------------------------------------------------
/src/mcp_server/__init__.py:
--------------------------------------------------------------------------------
1 | from . import server
2 | import asyncio
3 |
4 |
5 | def main():
6 | asyncio.run(server.main())
7 |
8 |
9 | __all__ = ['main', 'server']
10 |
--------------------------------------------------------------------------------
/src/mcp_server/entities/flow.py:
--------------------------------------------------------------------------------
1 | from typing import Any, Dict
2 |
3 | from pydantic import BaseModel, Field
4 |
5 |
6 | class Flow(BaseModel):
7 | flow_id: str
8 | name: str = ''
9 | description: str = ''
10 | api_key: str
11 | input_schema: Dict[str, Any] = Field(default_factory=dict)
12 | """A JSON Schema object defining the expected parameters for the tool."""
13 |
--------------------------------------------------------------------------------
/src/mcp_server/entities/ifly_client.py:
--------------------------------------------------------------------------------
1 | import json
2 | import os
3 | from abc import ABC
4 | from enum import Enum
5 | from typing import Dict, Any
6 |
7 | import requests
8 | import yaml
9 |
10 | from mcp_server.entities.flow import Flow
11 |
12 |
13 | class SysTool(Enum):
14 | """
15 | sys tools enum
16 | """
17 | SYS_UPLOAD_FILE = "SYS_UPLOAD_FILE"
18 | """ Workflow provides file upload """
19 |
20 |
21 | class IFlyWorkflowClient(ABC):
22 | base_url = "https://xingchen-api.xf-yun.com"
23 |
24 | def __init__(self, config_path: str = os.getenv("CONFIG_PATH")):
25 | """
26 | init
27 | :param config_path: config path,default is CONFIG_PATH
28 | """
29 | if not config_path:
30 | raise ValueError("CONFIG_PATH is not set")
31 |
32 | with open(config_path, 'r', encoding='utf-8') as file:
33 | self.flows = [Flow(**flow) for flow in yaml.safe_load(file)]
34 | self.name_idx: Dict[str, int] = {}
35 |
36 | # get flow info
37 | for flow in self.flows:
38 | flow_info = self.get_flow_info(flow.flow_id, flow.api_key)
39 | flow.name = flow.name if flow.name else flow_info["data"]["name"]
40 | flow.description = flow.description if flow.description else flow_info["data"]["description"]
41 | flow.input_schema = flow_info["data"]["inputSchema"]
42 |
43 | self._add_sys_tool()
44 |
45 | # build name_idx
46 | for i, flow in enumerate(self.flows):
47 | self.name_idx[flow.name] = i
48 |
49 | def _add_sys_tool(self):
50 | """
51 | add default sys tools
52 | :return:
53 | """
54 | self.flows.append(
55 | # add sys_upload_file
56 | Flow(
57 | flow_id=SysTool.SYS_UPLOAD_FILE.value,
58 | name=SysTool.SYS_UPLOAD_FILE.value,
59 | api_key=self.flows[0].api_key,
60 | description="upload file. Format support: image(jpg、png、bmp、jpeg), doc(pdf)",
61 | input_schema={
62 | "type": "object",
63 | "properties": {
64 | "file": {
65 | "type": "string",
66 | "description": "file path"
67 | }
68 | },
69 | "required": ["file"]
70 | }
71 | )
72 | )
73 |
74 | def chat_message(
75 | self,
76 | flow: Flow,
77 | inputs: Dict[str, Any],
78 | stream: bool = True
79 | ) -> str:
80 | """
81 | flow chat request
82 | :param flow:
83 | :param inputs:
84 | :param stream:
85 | :return:
86 | """
87 | url = f"{self.base_url}/workflow/v1/chat/completions"
88 | headers = {
89 | "Authorization": f"Bearer {flow.api_key}",
90 | "Content-Type": "application/json"
91 | }
92 | data = {
93 | "flow_id": flow.flow_id,
94 | "parameters": inputs,
95 | "stream": stream
96 | }
97 | response = requests.post(
98 | url, headers=headers, json=data, stream=stream)
99 | response.raise_for_status()
100 | if stream:
101 | for line in response.iter_lines():
102 | if line and line.startswith(b'data:'):
103 | try:
104 | src_content = line[5:].decode('utf-8')
105 | json_data = json.loads(src_content)
106 | if json_data.get("code", 0) != 0:
107 | yield src_content
108 | break
109 | choice = json_data["choices"][0]
110 | yield choice["delta"]["content"]
111 | if choice["finish_reason"] == "stop":
112 | break
113 | except json.JSONDecodeError:
114 | yield f"Error decoding JSON: {line}"
115 | else:
116 | json_data = response.json()
117 | if json_data.get("code", 0) != 0:
118 | yield json.dumps(json_data)
119 | else:
120 | yield json_data["choices"][0]["delta"]["content"]
121 |
122 | def get_flow_info(
123 | self,
124 | flow_id: str,
125 | api_key: str
126 | ) -> Dict[str, Any]:
127 | """
128 | get flow info, such as flow description, parameters
129 | :param flow_id:
130 | :param api_key:
131 | :return:
132 | """
133 | url = f"{self.base_url}/workflow/v1/get_flow_info/{flow_id}"
134 | headers = {
135 | "Authorization": f"Bearer {api_key}"
136 | }
137 | response = requests.get(url, headers=headers)
138 | response.raise_for_status()
139 | json_data = response.json()
140 | if json_data.get("code", 0) != 0:
141 | raise ValueError(json_data)
142 | return json_data
143 |
144 | def upload_file(
145 | self,
146 | api_key,
147 | file_path,
148 | ) -> str:
149 |
150 | url = f"{self.base_url}/workflow/v1/upload_file"
151 | headers = {
152 | "Authorization": f"Bearer {api_key}"
153 | }
154 | with open(file_path, "rb") as file:
155 | files = {"file": file}
156 | response = requests.post(url, headers=headers, files=files)
157 | response.raise_for_status()
158 | return response.content.decode('utf-8')
159 |
--------------------------------------------------------------------------------
/src/mcp_server/server.py:
--------------------------------------------------------------------------------
1 | import asyncio
2 | from collections.abc import AsyncIterator
3 | from contextlib import asynccontextmanager
4 | from typing import Iterator
5 |
6 | import mcp.server.stdio
7 | import mcp.types as types
8 | from mcp.server import NotificationOptions, Server
9 | from mcp.server.models import InitializationOptions
10 |
11 | from mcp_server.entities.ifly_client import IFlyWorkflowClient, SysTool
12 |
13 |
14 | @asynccontextmanager
15 | async def server_lifespan(server: Server) -> AsyncIterator[dict]:
16 | """Manage server startup and shutdown lifecycle."""
17 | # Initialize resources on startup
18 | yield {"ifly_client": IFlyWorkflowClient()}
19 |
20 |
21 | server = Server("ifly_workflow_mcp_server", lifespan=server_lifespan)
22 |
23 |
24 | @server.list_tools()
25 | async def handle_list_tools() -> list[types.Tool]:
26 | """
27 | List available tools,and convert them to MCP client can call.
28 | :return:
29 | """
30 | tools = []
31 | ctx = server.request_context
32 | for i, flow in enumerate(ctx.lifespan_context["ifly_client"].flows):
33 | tools.append(
34 | types.Tool(
35 | name=flow.name,
36 | description=flow.description,
37 | inputSchema=flow.input_schema,
38 | )
39 | )
40 | return tools
41 |
42 |
43 | @server.call_tool()
44 | async def handle_call_tool(
45 | name: str, arguments: dict | None
46 | ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
47 | """
48 | Process valid tool call requests and convert them to MCP responses
49 | :param name: tool name
50 | :param arguments: tool arguments
51 | :return:
52 | """
53 | ifly_client = server.request_context.lifespan_context["ifly_client"]
54 | if name not in ifly_client.name_idx:
55 | raise ValueError(f"Invalid tool name: {name}")
56 | flow = ifly_client.flows[ifly_client.name_idx[name]]
57 | if name == SysTool.SYS_UPLOAD_FILE.value:
58 | data = ifly_client.upload_file(
59 | flow.api_key,
60 | arguments["file"],
61 | )
62 | else:
63 | data = ifly_client.chat_message(
64 | flow,
65 | arguments,
66 | )
67 | mcp_out = []
68 |
69 | if isinstance(data, Iterator):
70 | for res in data:
71 | mcp_out.append(
72 | types.TextContent(
73 | type='text',
74 | text=res
75 | )
76 | )
77 | else:
78 | mcp_out.append(
79 | types.TextContent(
80 | type='text',
81 | text=data
82 | )
83 | )
84 | return mcp_out
85 |
86 |
87 | async def main():
88 | # Run the server using stdin/stdout streams
89 | async with mcp.server.stdio.stdio_server() as (read_stream, write_stream):
90 | await server.run(
91 | read_stream,
92 | write_stream,
93 | InitializationOptions(
94 | server_name="ifly_workflow_mcp_server",
95 | server_version="0.0.1",
96 | capabilities=server.get_capabilities(
97 | notification_options=NotificationOptions(),
98 | experimental_capabilities={},
99 | ),
100 | ),
101 | )
102 |
103 |
104 | if __name__ == "__main__":
105 | asyncio.run(main())
106 |
--------------------------------------------------------------------------------
/src/test/__init__.py:
--------------------------------------------------------------------------------
1 | import os
2 |
3 | os.environ["CONFIG_PATH"] = "../../config.yaml"
--------------------------------------------------------------------------------
/src/test/pytest.ini:
--------------------------------------------------------------------------------
1 | [pytest]
2 | log_cli = true
3 | log_cli_level = info
--------------------------------------------------------------------------------
/src/test/test_ifly_api.py:
--------------------------------------------------------------------------------
1 | import logging
2 |
3 | from typing import Iterator
4 |
5 |
6 | def test_chat():
7 | from mcp_server.entities.ifly_client import IFlyWorkflowClient
8 | ifly_client = IFlyWorkflowClient()
9 | resp = ifly_client.chat_message(
10 | ifly_client.flows[0],
11 | {
12 | "AGENT_USER_INPUT": "a picture of a cat"
13 | }
14 | )
15 | if isinstance(resp, Iterator):
16 | for res in resp:
17 | logging.info(res)
18 | else:
19 | logging.info(resp)
20 |
--------------------------------------------------------------------------------
/src/test/test_server.py:
--------------------------------------------------------------------------------
1 | import logging
2 |
3 | from mcp import ClientSession, StdioServerParameters, types
4 | from mcp.client.stdio import stdio_client
5 |
6 | from mcp_server.entities.ifly_client import SysTool
7 |
8 | # Create server parameters for stdio connection
9 | server_params = StdioServerParameters(
10 | command="uvx", # Executable
11 | args=[
12 | "--from",
13 | "../..",
14 | "ifly_workflow_mcp_server"
15 | ], # Optional command line arguments
16 | env={
17 | "CONFIG_PATH": "../../config.yaml"
18 | }, # Optional environment variables
19 | )
20 |
21 |
22 | # Optional: create a sampling callback
23 | async def handle_sampling_message(
24 | message: types.CreateMessageRequestParams,
25 | ) -> types.CreateMessageResult:
26 | return types.CreateMessageResult(
27 | role="assistant",
28 | content=types.TextContent(
29 | type="text",
30 | text="Hello, world! from model",
31 | ),
32 | model="gpt-3.5-turbo",
33 | stopReason="endTurn",
34 | )
35 |
36 |
37 | async def run():
38 | async with stdio_client(server_params) as (read, write):
39 | async with ClientSession(
40 | read, write, sampling_callback=handle_sampling_message
41 | ) as session:
42 | # Initialize the connection
43 | await session.initialize()
44 |
45 | # List available tools
46 | tools = await session.list_tools()
47 | logging.info(f"tools: {tools}")
48 |
49 | # Call a tool
50 | sys_upload_file_result = await session.call_tool(
51 | SysTool.SYS_UPLOAD_FILE.value,
52 | arguments={"file": "/Users/hygao1024/Documents/iFlytek/Work/测试图片.jpg"}
53 | )
54 | logging.info(f"call sys_upload_file result: {sys_upload_file_result}")
55 |
56 | image_generator_result = await session.call_tool("image_generator", arguments={"AGENT_USER_INPUT": "你好"})
57 | logging.info(f"call image_generator result: {image_generator_result}")
58 |
59 | llm_test_result = await session.call_tool("llm_test", arguments={"AGENT_USER_INPUT": "你好"})
60 | logging.info(f"call llm_test_result result: {llm_test_result}")
61 |
62 |
63 | def test_run():
64 | import asyncio
65 |
66 | asyncio.run(run())
67 |
--------------------------------------------------------------------------------
/uv.lock:
--------------------------------------------------------------------------------
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2 | revision = 1
3 | requires-python = ">=3.11"
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449 | sdist = { url = "https://files.pythonhosted.org/packages/4b/4d/938bd85e5bf2edeec766267a5015ad969730bb91e31b44021dfe8b22df6c/uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9", size = 76568 }
450 | wheels = [
451 | { url = "https://files.pythonhosted.org/packages/61/14/33a3a1352cfa71812a3a21e8c9bfb83f60b0011f5e36f2b1399d51928209/uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4", size = 62315 },
452 | ]
453 |
454 | [[package]]
455 | name = "ifly-workflow-mcp-server"
456 | version = "0.1.0"
457 | source = { editable = "." }
458 | dependencies = [
459 | { name = "httpx" },
460 | { name = "mcp" },
461 | { name = "omegaconf" },
462 | { name = "pip" },
463 | { name = "pytest" },
464 | { name = "python-dotenv" },
465 | { name = "requests" },
466 | ]
467 |
468 | [package.metadata]
469 | requires-dist = [
470 | { name = "httpx", specifier = ">=0.28.1" },
471 | { name = "mcp", specifier = ">=1.1.2" },
472 | { name = "omegaconf", specifier = ">=2.3.0" },
473 | { name = "pip", specifier = ">=24.3.1" },
474 | { name = "pytest", specifier = ">=8.3.5" },
475 | { name = "python-dotenv", specifier = ">=1.0.1" },
476 | { name = "requests" },
477 | ]
478 |
--------------------------------------------------------------------------------