├── .env.example ├── .gitignore ├── .pre-commit-config.yaml ├── DEPLOYMENT.md ├── README.md ├── agent.py ├── main.py ├── mcps └── github_extended.py ├── pyproject.toml ├── utils └── cron.py └── uv.lock /.env.example: -------------------------------------------------------------------------------- 1 | # All these env vars are optional and used for their respective MCP servers 2 | 3 | # Panther MCP env vars 4 | PANTHER_INSTANCE_URL=https://xxx.runpanther.net/ 5 | PANTHER_API_TOKEN=xxx 6 | 7 | # Github MCP env vars 8 | GITHUB_TOKEN=github_pat_xxx 9 | 10 | # Slack MCP env vars 11 | SLACK_BOT_TOKEN=xoxb-xxx 12 | SLACK_TEAM_ID=Exxx 13 | SLACK_CHANNEL_IDS=Cxxx 14 | 15 | # Virustotal MCP env vars 16 | VIRUSTOTAL_API_KEY=xxxx -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .direnv/ 2 | .envrc 3 | **/__pycache__ 4 | .env -------------------------------------------------------------------------------- /.pre-commit-config.yaml: -------------------------------------------------------------------------------- 1 | repos: 2 | - repo: https://github.com/astral-sh/ruff-pre-commit 3 | # Ruff version. 4 | rev: v0.12.4 5 | hooks: 6 | # Run the linter. 7 | - id: ruff-check 8 | args: [ --fix ] 9 | # Run the formatter. 10 | - id: ruff-format -------------------------------------------------------------------------------- /DEPLOYMENT.md: -------------------------------------------------------------------------------- 1 | # Deployment Guide 2 | 3 | Easy Agents is designed as a flexible template that you can customize and deploy to fit your environment. Here are several deployment options for productionizing Easy Agents: 4 | 5 | ## 1. Local Deployment 6 | 7 | Easy Agents can run locally out of the box. The downside is that it requires some manual trigger to initiate the agent. You can do so by making HTTP requests to the endpoints defined in `main.py`. 8 | 9 | It'd also be very easy to build a custom frontend to interact with Easy Agents if you'd prefer a UI. 10 | 11 | ![Example Local Web UI](https://static.kpolley.com/easyagents/example_web_ui.png) 12 | 13 | ## 2. Remote Server Deployment 14 | 15 | Deploy Easy Agents to a cloud server (e.g., AWS EC2) and expose it through a load balancer for production use. 16 | 17 | **Steps:** 18 | 1. Launch an EC2 instance with appropriate security groups 19 | 2. Install dependencies and deploy Easy Agents 20 | 3. Set up 3rd party tools (ex. SIEM) to send alerts to the relevant Easy Agent endpoint. 21 | 22 | ![Example Remote Server Deployment](https://static.kpolley.com/easyagents/example_remote_server.png) 23 | 24 | ## 3. Kubernetes Deployment 25 | 26 | Kubernetes deployment requires special consideration for MCP servers that depend on Docker. There are a few ways to do this, but I'd suggest running each MCP server as its own Kubernetes deployment. 27 | 28 | **Steps:** 29 | 1. Create Kubernetes manifests for Easy Agents and MCP servers 30 | 2. Set up ingress controllers for external access 31 | 3. Set up 3rd party tools (ex. SIEM) to send alerts to the relevant Easy Agent endpoint. 32 | 33 | ![Example Kubernetes Deployment](https://static.kpolley.com/easyagents/example_k8s_deployment.png) -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Easy Agents 2 | 3 | ![Easy Agents](https://static.kpolley.com/easyagents.png) 4 | 5 | A novel approach to automation that replaces traditional scripting with simple natural language instructions. Powered by Claude Agent SDK and MCP tool-calling. 6 | 7 | ## Overview 8 | 9 | Easy Agents is a framework designed to make it as easy as possible for teams to build intelligent automation agents. Instead of writing complex scripts, you define your automation logic using natural language instructions. 10 | 11 | Use this as a template to build agentic workflows tailored to your specific environment and use case. 12 | 13 | ### How it Works 14 | 15 | Define your agent's behavior with simple natural language: 16 | 17 | ``` 18 | You are an expert security agent that is responsible for investigating security alerts. 19 | 20 | High level steps to accomplish your task: 21 | 1. Look up the alert with the given id 22 | 2. Perform an extremely in-depth analysis of the alert 23 | 3. Generate a detailed report of your findings 24 | 4. If the alert is a valid alert, send the report to the slack channel #security-alerts 25 | ``` 26 | 27 | That's it! Your agent is ready to handle this complex and ambiguous security workflow automatically. 28 | 29 | ## Real-World Examples 30 | 31 | This repository includes four working examples that demonstrate the framework's capabilities. It utilizes multiple 3rd party MCP servers including [Panther Security Monitoring](https://github.com/panther-labs/mcp-panther), [VirusTotal](https://github.com/BurtTheCoder/mcp-virustotal), [Github](https://github.com/github/github-mcp-server), [Linear](https://linear.app/changelog/2025-05-01-mcp), and [Slack](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/slack) MCP servers. 32 | 33 | While these examples are cybersecurity focused, this framework can be used to build agents for any team such as those in product engineering or customer support. 34 | 35 | ### [Security Alert Investigator Agent](main.py#L28-L53) 36 | This agent triages incoming security alerts by correlating events across multiple sources, assessing risk levels, and routing to appropriate teams. The agent reads the alert context, investigates related events, and makes intelligent decisions about severity and response. 37 | 38 | ### [Application Security Agent](main.py#L56-L85) 39 | This agent reviews GitHub Advanced Security code-scanning alerts and automatically creates fix PRs for valid issues. It even runs tests and linters to ensure all tests pass, and assigns the right reviewers to the PR. 40 | 41 | ### [Supply Chain Security Agent](main.py#L88-L118) 42 | This agent triages Github Dependabot alerts by evaluating vulnerability impact, updating packages to secure versions, ensuring tests pass, and managing the entire pull request workflow. 43 | 44 | ### [Weekly Summary Agent](main.py#L121-L140) 45 | Every Sunday, this agent reviews Linear tickets and projects for their team. It writes a report on current projects, what got done that week and by whom. 46 | 47 | ## Why This Approach Works 48 | 49 | **Claude Agent SDK excels at intelligent task orchestration.** It transforms high-level goals into detailed action plans, adapts when obstacles arise, and thinks critically through complex problems. With the right tools and clear instructions, it can automate workflows that would typically require hundreds of lines of custom code—making it the ideal MCP client for both technical and operational tasks. 50 | 51 | **MCP makes tool integration effortless.** The Model Context Protocol creates a standardized way for AI to interact with external tools, making integrations as simple as configuration changes ([example](https://github.com/kpolley/easy-agents/pull/1)) 52 | 53 | **Natural language is maintainable.** Your operational playbooks become your automation logic. Team members can easily understand, modify, and extend workflows without wrestling with complex code and 3rd party APIs. 54 | 55 | ## Getting Started 56 | 57 | ### Prerequisites 58 | 59 | - [uv](https://docs.astral.sh/uv/) for dependency management 60 | - [Claude Code](https://claude.ai/code) for agent execution 61 | 62 | ### Installation 63 | 64 | 1. Clone this repository or [create a template](https://github.com/new?template_name=easy-agents&template_owner=kpolley): 65 | ```bash 66 | git clone https://github.com/kpolley/easy-agents.git 67 | cd easy_agents 68 | ``` 69 | 70 | 2. Install dependencies: 71 | ```bash 72 | uv sync 73 | ``` 74 | 75 | 3. Start the development server: 76 | ```bash 77 | uv run fastapi dev main.py 78 | ``` 79 | 80 | ### Creating Custom Agents 81 | 82 | Creating a new agent is as simple as: 83 | 84 | 1. Define your agent's behavior in natural language 85 | 2. Specify the MCP servers it needs access to 86 | 3. Deploy via the provided FastAPI endpoints or cronjob triggers 87 | 88 | ### Creating Custom MCP Servers 89 | 90 | Extend your agent's capabilities by creating custom MCP servers with [FastMCP](https://github.com/jlowin/fastmcp). See [mcps/github_extended.py](mcps/github_extended.py) as an example. 91 | 92 | ## Production Deployment 93 | See [DEPLOYMENT.md](./DEPLOYMENT.md) for guidance. 94 | 95 | ## Contributing 96 | 97 | Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests. 98 | 99 | Some ideas we have in mind: 100 | * More examples and use cases (perhaps from other operational areas such as customer support) 101 | * Human-in-the-loop interactions (e.g., Slack message an admin with interactive buttons and wait for their response) 102 | 103 | -------------------------------------------------------------------------------- /agent.py: -------------------------------------------------------------------------------- 1 | from claude_agent_sdk import query, ClaudeAgentOptions, Message 2 | from typing import Optional 3 | import os 4 | from dotenv import load_dotenv 5 | 6 | # If .env exists, load it 7 | if os.path.exists(".env"): 8 | load_dotenv() 9 | 10 | # Typical MCP config 11 | # https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/command-line-mcp-understanding-config.html 12 | mcp_config = { 13 | "mcpServers": { 14 | "panther": { 15 | "command": "docker", 16 | "args": [ 17 | "run", 18 | "-i", 19 | "-e", 20 | "PANTHER_INSTANCE_URL", 21 | "-e", 22 | "PANTHER_API_TOKEN", 23 | "--rm", 24 | "ghcr.io/panther-labs/mcp-panther", 25 | ], 26 | "env": { 27 | "PANTHER_INSTANCE_URL": os.getenv("PANTHER_INSTANCE_URL"), 28 | "PANTHER_API_TOKEN": os.getenv("PANTHER_API_TOKEN"), 29 | }, 30 | }, 31 | "github": { 32 | "type": "http", 33 | "url": "https://api.githubcopilot.com/mcp/", 34 | "headers": {"Authorization": f"Bearer {os.getenv('GITHUB_TOKEN')}"}, 35 | }, 36 | "github_extended": { 37 | "command": "uv", 38 | "args": ["run", "mcps/github_extended.py"], 39 | "env": {"GITHUB_TOKEN": os.getenv("GITHUB_TOKEN")}, 40 | }, 41 | "slack": { 42 | "command": "docker", 43 | "args": [ 44 | "run", 45 | "-i", 46 | "--rm", 47 | "-e", 48 | "SLACK_BOT_TOKEN", 49 | "-e", 50 | "SLACK_TEAM_ID", 51 | "-e", 52 | "SLACK_CHANNEL_IDS", 53 | "mcp/slack", 54 | ], 55 | "env": { 56 | "SLACK_BOT_TOKEN": os.getenv("SLACK_BOT_TOKEN"), 57 | "SLACK_TEAM_ID": os.getenv("SLACK_TEAM_ID"), 58 | "SLACK_CHANNEL_IDS": os.getenv("SLACK_CHANNEL_IDS"), 59 | }, 60 | }, 61 | "linear": { 62 | "command": "npx", 63 | "args": ["-y", "mcp-remote", "https://mcp.linear.app/sse"], 64 | }, 65 | "virustotal": { 66 | "command": "npx", 67 | "args": ["@burtthecoder/mcp-virustotal"], 68 | "env": { 69 | "VIRUSTOTAL_API_KEY": os.getenv("VIRUSTOTAL_API_KEY"), 70 | }, 71 | }, 72 | } 73 | } 74 | 75 | 76 | class Agent: 77 | def __init__( 78 | self, 79 | name: str, 80 | description: str, 81 | system_prompt: str, 82 | prompt: str, 83 | mcp_servers: list[str], 84 | allowed_tools: Optional[list[str]] = None, 85 | ): 86 | self.name = name 87 | self.description = description 88 | self.system_prompt = system_prompt 89 | self.prompt = prompt 90 | self.mcp_servers: dict[str, dict] = { 91 | server: mcp_config["mcpServers"][server] 92 | for server in mcp_servers 93 | if server in mcp_config["mcpServers"] 94 | } 95 | self.allowed_tools: Optional[list[str]] = allowed_tools 96 | self._claude_agent_options = ClaudeAgentOptions( 97 | permission_mode="bypassPermissions", 98 | mcp_servers=self.mcp_servers, 99 | mcp_tools=self.allowed_tools, 100 | system_prompt=self.system_prompt, 101 | ) 102 | 103 | async def run(self) -> list[Message]: 104 | messages = [] 105 | async for message in query( 106 | prompt=self.prompt, options=self._claude_agent_options 107 | ): 108 | print(message) 109 | messages.append(message) 110 | return messages 111 | -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | from fastapi import FastAPI 2 | from agent import Agent 3 | import asyncio 4 | from apscheduler.schedulers.asyncio import AsyncIOScheduler 5 | from apscheduler.triggers.cron import CronTrigger 6 | from contextlib import asynccontextmanager 7 | from utils.cron import cron, cron_jobs 8 | 9 | 10 | # This is a FastAPI lifecycle manager that starts the cron job scheduler when the app starts 11 | # and stops it when the app stops 12 | @asynccontextmanager 13 | async def lifespan(app: FastAPI): 14 | # Register all decorated cron jobs 15 | for func, trigger in cron_jobs: 16 | scheduler.add_job(func, trigger) 17 | 18 | scheduler.start() 19 | 20 | yield 21 | scheduler.shutdown() 22 | 23 | 24 | app = FastAPI(lifespan=lifespan) # for webhook triggers 25 | scheduler = AsyncIOScheduler() # for cron job triggers 26 | 27 | 28 | @app.get("/security-alert-agent/{alert_id}") 29 | async def security_alert_agent(alert_id: str): 30 | system_prompt = """ 31 | You are an expert security agent that is responsible for investigating security alerts from our SIEM. 32 | 33 | High level steps to accomplish your task: 34 | 1. Look up the alert with the given id 35 | 2. perform an extremely in-depth analysis of the alert. Leave no stone unturned. Consider all possible angles and scenarios and correlate the alert with other alerts and events from other sources. 36 | 3. Generate a detailed report of your findings 37 | 4. Send the report to the slack channel #security-alerts (channel ID: CXXXXX). 38 | 39 | Things to remember: 40 | - Do not assume that just because we received an alert that the alert is valid or of the correct severity. Perform a thorough analysis of the alert to determine if the alert is valid and of the correct severity. You may change the severity if you think it is incorrect. 41 | - The report should include alert title, severity, event timelime, any notable details, and whether you think the alert is malicious or benign. 42 | """ 43 | 44 | agent = Agent( 45 | name="security-alert-agent", 46 | description="Agent for handling security alerts from our SIEM", 47 | system_prompt=system_prompt, 48 | prompt=f"security alert ID: {alert_id}", 49 | mcp_servers=["panther", "virustotal", "slack"], 50 | ) 51 | 52 | asyncio.create_task(agent.run()) 53 | return {"status": "task started"} 54 | 55 | 56 | @app.get("/code-scanning-alert-agent/{repo_owner}/{repo_name}/{alert_id}") 57 | async def code_scanning_alert_agent(repo_owner: str, repo_name: str, alert_id: str): 58 | system_prompt = """ 59 | You are a security agent that is responsible for analyzing and fixing code-scanning security alerts. 60 | 61 | High level steps to accomplish your task: 62 | 1. Look up the alert with the given id 63 | 2. Determine if the vulnerability is a false positive, not applicable, or so low risk that it is not worth fixing. Have a thoughtful and valid reason for your decision. 64 | 3. If it is a false positive, not applicable or low risk, do nothing other than explain why 65 | 4. If it is not a false positive, create a fix PR 66 | 5. Find the engineer who introduced the vulnerability via git blame and request a PR review from them. No additional comments on the PR is necessary. 67 | 68 | Things to remember: 69 | - Do not assume that just because we received an alert that the alert is valid or of the correct severity. Perform a thorough analysis of the alert to determine if the alert is valid and of the correct severity. 70 | - If the vulnerability is not part of our core product (ex. internal scripts and tools) then it extremely low risk and should be ignored. 71 | - Be sure to run `just` commands to ensure all tests pass before creating a PR. 72 | - Use git worktrees so multiple agents can work on the same repo without conflicts. Create the worktree in the tmp directory ($CWD/tmp). The branch name should include the alert ID. 73 | - Ensure you pull latest from main branch before making any code changes. 74 | - Add "Created with Claude Code Security Agent 🤖. Any issues or questions please contact Kyle" to the PR description and any comments. 75 | """ 76 | agent = Agent( 77 | name="code-scanning-alert-agent", 78 | description="Agent for handling code-scanning security alerts and creating fix PRs", 79 | system_prompt=system_prompt, 80 | prompt=f"code-scanning alert ID: {alert_id} repo: {repo_owner}/{repo_name}", 81 | mcp_servers=["github", "github_extended"], 82 | ) 83 | 84 | asyncio.create_task(agent.run()) 85 | return {"status": "task started"} 86 | 87 | 88 | @app.get("/dependabot-alert-agent/{repo_owner}/{repo_name}/{alert_id}") 89 | async def dependabot_alert_agent(repo_owner: str, repo_name: str, alert_id: str): 90 | system_prompt = """ 91 | You are a security agent that is responsible for analyzing and fixing dependabot security alerts. 92 | 93 | High level steps to accomplish your task: 94 | 1. Look up the alert with the given id 95 | 2. Determine if the vulnerability is a false positive, not applicable, or so low risk that it is not worth fixing. Have a thoughtful and valid reason for your decision. 96 | 3. If it is a false positive, not applicable or low risk, do nothing other than explain why 97 | 4. If it is not a false positive, update the package version to the latest non-vulnerable version. Ensure to update the lockfile as well by running the appropiate package manager command. 98 | 5. Create a PR with the updated package version and tag @kpolley as a reviewer 99 | 100 | Things to remember: 101 | - Do not assume that just because we received an alert that the alert is valid or of the correct severity. Perform a thorough analysis of the alert to determine if the alert is valid and of the correct severity. 102 | - If the vulnerability is not part of our core product (ex. internal scripts and tools) then it extremely low risk and should be ignored. 103 | - Be sure to run `just` commands to ensure all tests pass before creating a PR. 104 | - Use git worktrees so multiple agents can work on the same repo without conflicts. Create the worktree in the tmp directory ($CWD/tmp). The branch name should include the alert ID. 105 | - Ensure you pull latest from main branch before making any code changes. 106 | - Add "Created with Claude Code Security Agent 🤖. Any issues or questions please contact Kyle" to the PR description and any comments. 107 | """ 108 | 109 | agent = Agent( 110 | name="dependabot-alert-agent", 111 | description="Agent for handling dependabot security alerts and updating package versions", 112 | system_prompt=system_prompt, 113 | prompt=f"dependabot alert ID: {alert_id} repo: {repo_owner}/{repo_name}", 114 | mcp_servers=["github", "github_extended"], 115 | ) 116 | 117 | asyncio.create_task(agent.run()) 118 | return {"status": "task started"} 119 | 120 | 121 | @cron(CronTrigger(day_of_week="sun", hour=17, minute=0)) 122 | async def weekly_update_agent(team_name: str = "SEC"): 123 | system_prompt = """ 124 | You are an agent that is responsible for summarizing what the team got done this week. 125 | 126 | High level steps to accomplish your task: 127 | 1. Look up the linear team with the given name 128 | 2. Summarize what projects are in progress and what tasks were completed this week. 129 | 3. Send the summary to the slack channel #updates (channel ID: CXXXXXX) 130 | 131 | """ 132 | agent = Agent( 133 | name=f"weekly-update-agent-{team_name}", 134 | description="Agent for summarizing what the team got done this week", 135 | system_prompt=system_prompt, 136 | prompt=f"team: {team_name}", 137 | mcp_servers=["linear", "slack"], 138 | ) 139 | asyncio.create_task(agent.run()) 140 | return {"status": "task started"} 141 | -------------------------------------------------------------------------------- /mcps/github_extended.py: -------------------------------------------------------------------------------- 1 | from fastmcp import FastMCP 2 | import requests 3 | import os 4 | 5 | # The official GitHub MCP server is missing some tools that are necessary for the security agent. 6 | # This MCP server adds those tools. 7 | 8 | mcp = FastMCP("Extra GitHub Tools") 9 | 10 | 11 | @mcp.tool 12 | async def add_reviewer_to_pr( 13 | repo_owner: str, repo_name: str, pr_number: int, reviewer_username: str 14 | ): 15 | """Add a reviewer to a GitHub pull request""" 16 | headers = { 17 | "Authorization": f"Bearer {os.getenv('GITHUB_TOKEN')}", 18 | "Accept": "application/vnd.github.v3+json", 19 | } 20 | response = requests.post( 21 | f"https://api.github.com/repos/{repo_owner}/{repo_name}/pulls/{pr_number}/requested_reviewers", 22 | headers=headers, 23 | json={"reviewers": [reviewer_username]}, 24 | ) 25 | return response.json() 26 | 27 | 28 | @mcp.tool 29 | async def get_dependabot_alerts(repo_owner: str, repo_name: str): 30 | """Get all dependabot alerts for a repository""" 31 | headers = { 32 | "Authorization": f"Bearer {os.getenv('GITHUB_TOKEN')}", 33 | "Accept": "application/vnd.github.v3+json", 34 | } 35 | response = requests.get( 36 | f"https://api.github.com/repos/{repo_owner}/{repo_name}/dependabot/alerts", 37 | headers=headers, 38 | ) 39 | return response.json() 40 | 41 | 42 | @mcp.tool 43 | async def get_dependabot_alert(repo_owner: str, repo_name: str, alert_id: str): 44 | """Get a dependabot alert for a repository""" 45 | headers = { 46 | "Authorization": f"Bearer {os.getenv('GITHUB_TOKEN')}", 47 | "Accept": "application/vnd.github.v3+json", 48 | } 49 | response = requests.get( 50 | f"https://api.github.com/repos/{repo_owner}/{repo_name}/dependabot/alerts/{alert_id}", 51 | headers=headers, 52 | ) 53 | return response.json() 54 | 55 | 56 | if __name__ == "__main__": 57 | mcp.run() 58 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "easy_agents" 3 | version = "0.1.0" 4 | description = "Add your description here" 5 | readme = "README.md" 6 | requires-python = ">=3.13" 7 | dependencies = [ 8 | "apscheduler>=3.11.0", 9 | "asyncio>=3.4.3", 10 | "claude-agent-sdk>=0.0.14", 11 | "fastapi[standard]>=0.116.0", 12 | "fastmcp>=2.10.4", 13 | "python-dotenv>=1.1.1", 14 | "requests>=2.32.4", 15 | ] 16 | 17 | [dependency-groups] 18 | dev = [ 19 | "ruff>=0.12.4", 20 | ] 21 | -------------------------------------------------------------------------------- /utils/cron.py: -------------------------------------------------------------------------------- 1 | from functools import wraps 2 | from typing import Callable 3 | from apscheduler.triggers.cron import CronTrigger 4 | 5 | # Store registered cron jobs 6 | cron_jobs = [] 7 | 8 | 9 | def cron(trigger: CronTrigger): 10 | """ 11 | Decorator for registering cron jobs similar to FastAPI endpoints 12 | 13 | Usage: 14 | @cron(CronTrigger(day_of_week="sun", hour=17, minute=0)) 15 | async def my_weekly_job(): 16 | # job logic here 17 | """ 18 | 19 | def decorator(func: Callable) -> Callable: 20 | # Store the job for later registration 21 | cron_jobs.append((func, trigger)) 22 | 23 | @wraps(func) 24 | async def wrapper(*args, **kwargs): 25 | return await func(*args, **kwargs) 26 | 27 | return wrapper 28 | 29 | return decorator 30 | 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