U.S. Congress MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add U.S. Congress as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to U.S. Congress. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in U.S. Congress?"
)
print(response)
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 U.S. Congress MCP Server
Connect the U.S. Congress API to your AI agent and access comprehensive legislative data through natural conversation.
LlamaIndex agents combine U.S. Congress tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Bill Research — Search and browse bills across congressional sessions with full text and status tracking
- Member Lookup — List current and past members of Congress with biographical and voting data
- Amendment Tracking — Browse amendments to bills and resolutions
- Treaty Analysis — Access treaty submissions and their current status
- Nomination Tracking — Monitor presidential nominations through the confirmation process
- Committee Navigation — Browse congressional committees and their jurisdictions
- Congress History — Access session data across historical congresses
The U.S. Congress MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex 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 U.S. Congress to LlamaIndex via MCP
Follow these steps to integrate the U.S. Congress MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from U.S. Congress
Why Use LlamaIndex with the U.S. Congress MCP Server
LlamaIndex provides unique advantages when paired with U.S. Congress through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine U.S. Congress tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain U.S. Congress tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query U.S. Congress, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what U.S. Congress tools were called, what data was returned, and how it influenced the final answer
U.S. Congress + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the U.S. Congress MCP Server delivers measurable value.
Hybrid search: combine U.S. Congress real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query U.S. Congress to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying U.S. Congress for fresh data
Analytical workflows: chain U.S. Congress queries with LlamaIndex's data connectors to build multi-source analytical reports
U.S. Congress MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect U.S. Congress to LlamaIndex via MCP:
get_bill_details
Get full details for a specific legislative bill
list_congress_amendments
List legislative amendments
list_congress_bills
gov database. List bills from the current or specified Congress
list_congress_committees
List congressional committees
list_congress_members
List current or past members of the US Congress
list_congress_nominations
List executive and judicial nominations
list_congress_sessions
g., 118th, 117th) and their start and end dates. List historical congressional sessions
list_congress_treaties
List treaties handled by Congress
Example Prompts for U.S. Congress in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with U.S. Congress immediately.
"What bills about artificial intelligence were introduced in the current Congress?"
Troubleshooting U.S. Congress MCP Server with LlamaIndex
Common issues when connecting U.S. Congress to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpU.S. Congress + LlamaIndex FAQ
Common questions about integrating U.S. Congress MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect U.S. Congress 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 U.S. Congress to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.