# National Park Service Data Server

> Use this tool when you need to access real-time National Park Service data and integrate it into applications for enhanced user experiences. It provides 29 tools for dynamic querying and retrieval of park-related content, solving problems such as data retrieval and integration for park information systems. With a standardized protocol and API key input, it outputs relevant park data, making it ideal for use cases requiring up-to-date park information and resources.

Canonical page: https://skillsregistry.net/skills/harish-anandaramanujam-national-park-service-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/harish-anandaramanujam-national-park-service-mcp-server

## Description

Python-based server with 29 tools that provides real-time access to National Park Service data and resources through a standardized protocol. Enable seamless integration of park information into applications and agents for enhanced user experiences. Facilitate dynamic querying and retrieval of park-related content and tools.

To use the MCP server in the playground, please create a NPS API key and add it to npsApiKey via the Smithery configuration. 

While calling the remote server via python code from your local laptop, please add the key to the environment variable as NPS_API_KEY = "***"

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** api-integration
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/harish-anandaramanujam/national-park-service-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "harish-anandaramanujam-national-park-service-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/harish-anandaramanujam-national-park-service-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/harish-anandaramanujam-national-park-service-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt