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Recreation.gov (RIDB) MCP Server for LangChainGive LangChain instant access to 10 tools to Get Activity, Get Facility, Get Organization, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

The Recreation.gov (RIDB) MCP Server for LangChain is a standout in the Government Public Data category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "recreationgov-ridb": {
            "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 Recreation.gov (RIDB), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Recreation.gov (RIDB)
Fully ManagedVinkius Servers
60%Token savings
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 Recreation.gov (RIDB) MCP Server

Connect to the Recreation Information Database (RIDB) and explore thousands of federal recreation sites, campgrounds, and historic landmarks across the United States through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Recreation.gov (RIDB) through native MCP adapters. Connect 10 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

  • Facility Discovery — Search for campgrounds, visitor centers, and parks using keywords, states, or specific activities.
  • Geospatial Search — Find recreation spots near specific coordinates using radial search parameters.
  • Detailed Metadata — Fetch complete descriptions, operating hours, and management information for any facility or recreation area.
  • Activity Mapping — List and filter by supported activities like hiking, fishing, or camping to find the perfect spot.
  • Visual Exploration — Retrieve associated images and media for facilities and recreation areas to preview your destination.
  • Agency Insights — Identify the federal organizations and agencies managing specific public lands.

The Recreation.gov (RIDB) MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Recreation.gov (RIDB) tools available for LangChain

When LangChain connects to Recreation.gov (RIDB) through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial-data, campgrounds, public-lands, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get activity on Recreation.gov (RIDB)

Get details for a specific recreation activity

get

Get facility on Recreation.gov (RIDB)

Get details for a specific recreation facility

get

Get organization on Recreation.gov (RIDB)

Get details for a specific organization

get

Get recarea on Recreation.gov (RIDB)

Get details for a specific recreation area

list

List activities on Recreation.gov (RIDB)

g., Hiking, Camping). List supported recreation activities

list

List facilities on Recreation.gov (RIDB)

) with optional filtering. Retrieve information about recreation facilities

list

List facility media on Recreation.gov (RIDB)

Retrieve media for a facility

list

List organizations on Recreation.gov (RIDB)

List federal agencies managing resources

list

List recarea media on Recreation.gov (RIDB)

Retrieve media for a recreation area

list

List recareas on Recreation.gov (RIDB)

List recreation areas

Connect Recreation.gov (RIDB) to LangChain via MCP

Follow these steps to wire Recreation.gov (RIDB) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 10 tools from Recreation.gov (RIDB) via MCP

Why Use LangChain with the Recreation.gov (RIDB) MCP Server

LangChain provides unique advantages when paired with Recreation.gov (RIDB) through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Recreation.gov (RIDB) 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 Recreation.gov (RIDB) queries for multi-turn workflows

Recreation.gov (RIDB) + LangChain Use Cases

Practical scenarios where LangChain combined with the Recreation.gov (RIDB) MCP Server delivers measurable value.

01

RAG with live data: combine Recreation.gov (RIDB) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Recreation.gov (RIDB), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Recreation.gov (RIDB) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Recreation.gov (RIDB) tool call, measure latency, and optimize your agent's performance

Example Prompts for Recreation.gov (RIDB) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Recreation.gov (RIDB) immediately.

01

"List all recreation facilities in Florida that support 'Hiking'."

02

"Show me the media and images for facility ID 233330."

03

"What are the supported recreation activities I can search for?"

Troubleshooting Recreation.gov (RIDB) MCP Server with LangChain

Common issues when connecting Recreation.gov (RIDB) to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Recreation.gov (RIDB) + LangChain FAQ

Common questions about integrating Recreation.gov (RIDB) 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.

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