ReadMe MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add ReadMe as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="readme_agent",
tools=tools,
system_message=(
"You help users with ReadMe. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ReadMe MCP Server
Connect your ReadMe documentation hub directly to your AI agent. Enabling this integration turns your AI into an expert technical writer and reader, capable of instantly scanning your entire developer documentation, changelogs, and custom pages without context switching.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use ReadMe tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Documentation Search — Perform full-text searches across all your published guides and API references.
- Content Retrieval — Fetch the exact Markdown content of any specific documentation page, changelog, or category.
- Project Analysis — Understand how your documentation is categorized and structure new content accordingly.
- Changelog Tracking — Pull recent product updates and announcements formally published to your users.
The ReadMe MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect ReadMe to AutoGen via MCP
Follow these steps to integrate the ReadMe MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from ReadMe automatically
Why Use AutoGen with the ReadMe MCP Server
AutoGen provides unique advantages when paired with ReadMe through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use ReadMe tools to solve complex tasks
Role-based architecture lets you assign ReadMe tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive ReadMe tool calls
Code execution sandbox: AutoGen agents can write and run code that processes ReadMe tool responses in an isolated environment
ReadMe + AutoGen Use Cases
Practical scenarios where AutoGen combined with the ReadMe MCP Server delivers measurable value.
Collaborative analysis: one agent queries ReadMe while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from ReadMe, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using ReadMe data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process ReadMe responses in a sandboxed execution environment
ReadMe MCP Tools for AutoGen (10)
These 10 tools become available when you connect ReadMe to AutoGen via MCP:
get_category
Retrieves details for a specific documentation category
get_category_docs
Lists all documentation pages under a specific category
get_changelog
Retrieves the full content of a specific changelog post
get_custom_page
Retrieves the full content of a custom page
get_doc
Retrieves the full content of a documentation page
get_project
Retrieves details about the ReadMe project
list_categories
Lists all documentation categories on ReadMe
list_changelogs
Lists all changelog posts
list_custom_pages
Lists all custom standalone pages
search_docs
Performs a full-text search across all documentation pages
Example Prompts for ReadMe in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with ReadMe immediately.
"Search the documentation for instructions on configuring webhooks."
"Get the contents of the changelog titled 'v2-api-release'."
"List all main documentation categories."
Troubleshooting ReadMe MCP Server with AutoGen
Common issues when connecting ReadMe to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"ReadMe + AutoGen FAQ
Common questions about integrating ReadMe MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect ReadMe with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ReadMe to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
