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How to Use the GovInfo (GPO Legislative Docs) MCP in LlamaIndex

Index live federal records and congressional bills directly into your LlamaIndex vector store.

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Connect GovInfo (GPO Legislative Docs) MCP to LlamaIndex

Create your Vinkius account to connect GovInfo (GPO Legislative Docs) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Build GPO-Grounded Indexes with LlamaIndex

Use `search_govinfo` to find relevant federal documents and feed the raw strings from `get_package_content` directly into a LlamaIndex document object. This lets you build a vector index of actual legislative text instead of relying on outdated model weights. Your query engines then retrieve exact passages from congressional hearings. This setup ensures your RAG applications answer legal questions with verified GPO data rather than hallucinations.

Extract GPO Metadata for LlamaIndex Node Parsing

When indexing legislative files, run `get_package_summary` to extract publication dates, committee names, and bill numbers. You attach this metadata directly to your LlamaIndex nodes as key-value pairs. This metadata allows you to run hybrid searches, filtering by GPO collection types retrieved via `list_collections` before performing vector similarity lookups. It makes your document retrieval much more precise.

Map Federal Registries using this MCP Server

Your LlamaIndex agent calls `list_packages` to dynamically discover newly published documents in specific federal collections. It automates the ingestion pipeline by checking for updates at scheduled intervals. The agent reads the collection structure using `get_collection_details` to verify which document formats are available. This step ensures your indexing pipeline only attempts to parse compatible text formats.

Setup guide

Set up GovInfo (GPO Legislative Docs) MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all GovInfo (GPO Legislative Docs) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to GovInfo (GPO Legislative Docs) tools.",
)
response = await agent.run("List recent GovInfo (GPO Legislative Docs) data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GovInfo. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GovInfo (GPO Legislative Docs) MCP in LlamaIndex

You run `search_govinfo` to find the bills, retrieve their raw text using `get_package_content`, and load them into Document objects. LlamaIndex then parses these documents into nodes and stores them in your vector database.
Yes, your LlamaIndex agent can use `get_package_summary` to fetch metadata like dates and committees. It then uses these fields to filter your vector store queries.
You connect the server to your LlamaIndex pipeline using the McpToolSpec wrapper. This exposes tools like `search_govinfo` and `get_package_content` directly to your query engine as executable tools.
No, the server retrieves raw text and metadata from the GPO API. You use LlamaIndex to generate embeddings and perform vector searches on that retrieved text.
All GPO metadata and raw document text are fetched on demand through an ephemeral connection. No legislative data or API queries are cached or stored on Vinkius servers.

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