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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Recreation.gov (RIDB) 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 for LlamaIndex

The Recreation.gov (RIDB) MCP Server for LlamaIndex 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

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python
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 Recreation.gov (RIDB). "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Recreation.gov (RIDB)?"
    )
    print(response)

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.

LlamaIndex agents combine Recreation.gov (RIDB) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

  • 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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Recreation.gov (RIDB)

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

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

01

Data-first architecture: LlamaIndex agents combine Recreation.gov (RIDB) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Recreation.gov (RIDB) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Recreation.gov (RIDB), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Recreation.gov (RIDB) tools were called, what data was returned, and how it influenced the final answer

Recreation.gov (RIDB) + LlamaIndex Use Cases

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

01

Hybrid search: combine Recreation.gov (RIDB) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Recreation.gov (RIDB) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Recreation.gov (RIDB) for fresh data

04

Analytical workflows: chain Recreation.gov (RIDB) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Recreation.gov (RIDB) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Recreation.gov (RIDB) + LlamaIndex FAQ

Common questions about integrating Recreation.gov (RIDB) MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Recreation.gov (RIDB) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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