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OpenStates MCP Server for LangChain 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect OpenStates through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "openstates": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using OpenStates, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
OpenStates
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with OpenStates through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the OpenStates MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 7 tools from OpenStates via MCP

Why Use LangChain with the OpenStates MCP Server

LangChain provides unique advantages when paired with OpenStates through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine OpenStates MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across OpenStates queries for multi-turn workflows

OpenStates + LangChain Use Cases

Practical scenarios where LangChain combined with the OpenStates MCP Server delivers measurable value.

01

RAG with live data: combine OpenStates tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query OpenStates, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain OpenStates tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every OpenStates tool call, measure latency, and optimize your agent's performance

OpenStates MCP Tools for LangChain (7)

These 7 tools become available when you connect OpenStates to LangChain via MCP:

01

get_bill_details

Get bill details

02

get_committee_details

Get committee details

03

get_legislator_details

Get legislator details

04

list_committees

List committees in a jurisdiction

05

list_jurisdictions

List all jurisdictions

06

search_bills

Search for legislative bills

07

search_legislators

Search for legislators

Example Prompts for OpenStates in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with OpenStates immediately.

01

"Search for education bills in California."

02

"Who are the members of the New York Senate Finance Committee?"

03

"Get the latest actions for bill TX HB-500."

Troubleshooting OpenStates MCP Server with LangChain

Common issues when connecting OpenStates to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OpenStates + LangChain FAQ

Common questions about integrating OpenStates MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect OpenStates to LangChain

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.