Mattermark 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 Mattermark 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="mattermark_agent",
tools=tools,
system_message=(
"You help users with Mattermark. "
"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 Mattermark MCP Server
Connect your Mattermark account to any AI agent and access deep insights into the startup ecosystem through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mattermark 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
- Company Research — Search for startups, fetch detailed metadata, and monitor funding history
- Investor Intelligence — List venture firms and inspect their portfolios and profiles
- Funding Rounds — Query specific investment rounds and their details
- Competitive Analysis — Find similar companies and track employee growth trends
The Mattermark 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 Mattermark to AutoGen via MCP
Follow these steps to integrate the Mattermark 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 Mattermark automatically
Why Use AutoGen with the Mattermark MCP Server
AutoGen provides unique advantages when paired with Mattermark through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mattermark tools to solve complex tasks
Role-based architecture lets you assign Mattermark 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 Mattermark tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Mattermark tool responses in an isolated environment
Mattermark + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Mattermark MCP Server delivers measurable value.
Collaborative analysis: one agent queries Mattermark while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Mattermark, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Mattermark data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Mattermark responses in a sandboxed execution environment
Mattermark MCP Tools for AutoGen (10)
These 10 tools become available when you connect Mattermark to AutoGen via MCP:
get_company_details
Get details for a specific company
get_company_employees
Get employee data for a company
get_company_funding_rounds
Get funding history for a company
get_company_news
Get news for a specific company
get_funding_round_details
Get details for a funding round
get_investor_details
Get details for an investor
list_investors
List venture capital investors
list_similar_companies
Find similar companies
search_companies
Search for companies
search_funding_rounds
Search for funding rounds
Example Prompts for Mattermark in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Mattermark immediately.
"Search for companies in the 'Fintech' sector in New York."
"Get funding history for company ID 123."
"List similar companies to 'Stripe'."
Troubleshooting Mattermark MCP Server with AutoGen
Common issues when connecting Mattermark to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Mattermark + AutoGen FAQ
Common questions about integrating Mattermark 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 Mattermark with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Mattermark to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.