# Ordnance Survey National Geographic Database

> Use this tool when you need to access and query authoritative UK geographic data for applications like urban planning, transportation analysis, or location-based services. It provides a standardized interface to the Ordnance Survey National Geographic Database, handling authentication and rate limiting, and supports features like spatial and attribute filtering, and bulk operations. The API outputs standardized geographic data, making it ideal for integration into AI-assisted workflows that require reliable and accurate UK location information.

Canonical page: https://skillsregistry.net/skills/chriscarlon-os-ngd-features  
JSON: https://api.skillsregistry.net/v1/skills/chriscarlon-os-ngd-features

## Description

The OS NGD Features API MCP Server provides a bridge between MCP clients and the Ordnance Survey National Geographic Database, making it easy to query UK geographic data through a standardized protocol. Built with Python using aiohttp and FastMCP, it handles authentication, rate limiting, and simplifies interaction with the complex OS API endpoints that follow the OGC API Features standard. The server exposes tools for collection management, feature search with spatial and attribute filters, individual feature retrieval, linked identifier operations, and bulk feature operations. This implementation is particularly valuable for developers and researchers who need to incorporate authoritative UK geographic data into AI-assisted workflows for applications like urban planning, transportation analysis, or location-based services.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chriscarlon-os-ngd-features)
- **Repository:** <https://github.com/chriscarlon/os-mcp>

## 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": "chriscarlon-os-ngd-features"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chriscarlon-os-ngd-features` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chriscarlon-os-ngd-features/pull`

---
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