GovInfo 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 GovInfo as an MCP tool provider through the 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 GovInfo. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in GovInfo?"
)
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 GovInfo MCP Server
Connect to the official GovInfo API and empower your AI agent with direct access to official publications from all three branches of the US Federal Government. Query congressional bills, federal regulations, court opinions, and presidential documents using natural language without navigating complex government databases.
LlamaIndex agents combine GovInfo tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through the 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
- Document Discovery — List available document collections and find specific packages based on date ranges or collection codes (e.g., BILLS, FR, CHRG)
- Deep Search — Perform complex searches across the entire GovInfo database to find relevant legislative or regulatory documents
- Daily Updates — Retrieve a list of all documents officially published on a specific date
- Metadata Extraction — Get detailed summary metadata for specific packages or their sub-documents (granules)
- Contextual Relationships — Discover related documents to understand the legislative or regulatory history of a specific bill or rule
The GovInfo 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 GovInfo to LlamaIndex via MCP
Follow these steps to integrate the GovInfo 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 GovInfo
Why Use LlamaIndex with the GovInfo MCP Server
LlamaIndex provides unique advantages when paired with GovInfo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GovInfo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GovInfo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GovInfo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GovInfo tools were called, what data was returned, and how it influenced the final answer
GovInfo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GovInfo MCP Server delivers measurable value.
Hybrid search: combine GovInfo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GovInfo 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 GovInfo for fresh data
Analytical workflows: chain GovInfo queries with LlamaIndex's data connectors to build multi-source analytical reports
GovInfo MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect GovInfo to LlamaIndex via MCP:
get_collection
Get packages within a collection by date range
get_granule_summary
Get summary metadata for a specific granule
get_package_summary
Get summary metadata for a specific package
get_published
Get documents published on a specific date
get_related_documents
Get documents related to a specific package
list_collections
List available document collections
list_package_granules
List granules (sub-documents) for a package
search_documents
Search documents via the GovInfo Search API
Example Prompts for GovInfo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GovInfo immediately.
"What collections of documents are available on GovInfo?"
"Show me the summary for the Federal Register package 'FR-2023-01-10'."
Troubleshooting GovInfo MCP Server with LlamaIndex
Common issues when connecting GovInfo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGovInfo + LlamaIndex FAQ
Common questions about integrating GovInfo 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 GovInfo 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 GovInfo to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
