How to Use the FOIA.gov (Freedom of Information) MCP in LangChain

Q: Can I use LangChain to query FOIA.gov (Freedom of Information) across multiple agencies?

Yes. You can configure a LangChain agent with listagencycomponents to search across all registered federal offices. The agent filters the JSON API sparse fieldsets to find the exact departments you need to target.

Q: Is it possible to run FOIA.gov (Freedom of Information) tools in a multi-server LangChain setup?

Absolutely. You can initialize the MultiServerMCPClient in your LangChain environment alongside other servers. This lets your agent pull agency details from FOIA.gov and immediately cross-reference them with external databases in a single run.

Get raw US government transparency data directly into your LangChain reasoning loops without writing custom scrapers.

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Connect FOIA.gov (Freedom of Information) MCP to LangChain

Create your Vinkius account to connect FOIA.gov (Freedom of Information) to LangChain 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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Setup FOIA.gov (Freedom of Information) with LangChain

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Map bureaucracy dynamically with LangChain ReAct chains

Your LangChain agent uses `list_agency_components` to map out the sprawling web of US government offices before deciding where to file. By running this tool as an initial step in a ReAct loop, the agent identifies the correct sub-agency without you hardcoding IDs. This dynamic lookup feeds directly into subsequent chain steps. If you need to target a specific office, this MCP Server hands off the exact UUID to the next tool in your sequence.

Generate valid filing schemas on the fly

The `get_agency_component_request_form` tool provides the exact JSON schema required by any specific federal office. Your LangChain chain takes this schema, matches it against your user's input, and structures the request perfectly. You avoid the headache of rejected filings due to missing fields. LangSmith traces every step of this schema matching, showing you exactly how your agent parsed the form requirements.

Track agency backlogs through XML parsing

Use `get_annual_report_xml` to pull down raw performance metrics and delays for any department. LangChain chains process this XML data to extract processing times, giving your agent the context to warn users about potential wait times. Combining this with `get_agency_component` lets your agent build a live performance profile for any office. You get a transparent look at government responsiveness based on actual historical data instead of guesswork.

Setup guide

Set up FOIA.gov (Freedom of Information) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes FOIA.gov (Freedom of Information) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "foiagov-freedom-of-information-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent FOIA.gov (Freedom of Information) transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FOIA.gov. 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 FOIA.gov (Freedom of Information) MCP in LangChain

Your chain receives the raw XML string directly from the tool. You can pass this output to a downstream parsing node or an LLM call within your LangChain sequence to extract specific backlog metrics.

Yes. You can configure a LangChain agent with `list_agency_components` to search across all registered federal offices. The agent filters the JSON API sparse fieldsets to find the exact departments you need to target.

Absolutely. You can initialize the `MultiServerMCPClient` in your LangChain environment alongside other servers. This lets your agent pull agency details from FOIA.gov and immediately cross-reference them with external databases in a single run.

Use LangSmith to trace the exact tool inputs and outputs. If a call to `get_agency_component_request_form` fails or returns unexpected schemas, you can inspect the raw JSON payload in your LangSmith dashboard.

All requests go directly from your local LangChain client to the official FOIA.gov API endpoints. The server only touches public agency metadata, request form schemas, and XML reports, with no intermediate caching or external logging of your queries.

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