OpenStates MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add OpenStates 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="openstates_agent",
tools=tools,
system_message=(
"You help users with OpenStates. "
"7 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 OpenStates MCP Server
Equip your AI agent with the most comprehensive US state-level legislative intelligence via OpenStates. This unified server provides your agent with instant access to bills, legislators, and committee metadata across all 50 states, DC, and Puerto Rico. Your agent can instantly search for specific legislation, audit legislator profiles, and retrieve committee memberships without you ever manually checking a government site. Whether you are tracking policy trends or verifying legislative actions, your agent acts as a dedicated political analyst through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use OpenStates tools. Connect 7 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
- Bill Discovery — Search for thousands of legislative bills by keyword, jurisdiction, and session.
- Legislator Auditing — Fetch complete profiles, contact information, and current roles for state legislators.
- Committee Intelligence — List all legislative committees in a jurisdiction and retrieve their detailed membership lists.
- Jurisdiction Lookup — List and inspect all supported states and jurisdictions to understand current legislative coverage.
- Deep Metadata — Retrieve detailed actions and versions for specific bills to analyze the legislative process.
The OpenStates MCP Server exposes 7 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 OpenStates to AutoGen via MCP
Follow these steps to integrate the OpenStates 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 7 tools from OpenStates automatically
Why Use AutoGen with the OpenStates MCP Server
AutoGen provides unique advantages when paired with OpenStates through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use OpenStates tools to solve complex tasks
Role-based architecture lets you assign OpenStates 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 OpenStates tool calls
Code execution sandbox: AutoGen agents can write and run code that processes OpenStates tool responses in an isolated environment
OpenStates + AutoGen Use Cases
Practical scenarios where AutoGen combined with the OpenStates MCP Server delivers measurable value.
Collaborative analysis: one agent queries OpenStates while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from OpenStates, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using OpenStates data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process OpenStates responses in a sandboxed execution environment
OpenStates MCP Tools for AutoGen (7)
These 7 tools become available when you connect OpenStates to AutoGen via MCP:
get_bill_details
Get bill details
get_committee_details
Get committee details
get_legislator_details
Get legislator details
list_committees
List committees in a jurisdiction
list_jurisdictions
List all jurisdictions
search_bills
Search for legislative bills
search_legislators
Search for legislators
Example Prompts for OpenStates in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with OpenStates immediately.
"Search for education bills in California."
"Who are the members of the New York Senate Finance Committee?"
"Get the latest actions for bill TX HB-500."
Troubleshooting OpenStates MCP Server with AutoGen
Common issues when connecting OpenStates to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"OpenStates + AutoGen FAQ
Common questions about integrating OpenStates 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 OpenStates 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 OpenStates to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
