Ordnance Survey MCP Server

A MCP server for accessing UK geospatial data through Ordnance Survey APIs.

What it does

Provides LLM access to the Ordnance Survey's Data Hub APIs.

Ask simple questions such as find me all cinemas in Leeds City Centre or use the prompts templates for more complex, speciifc use cases - relating to street works, planning, etc.

This MCP server enforces a 2 step workflow plan to ensure that the user gets the best results possible.

Quick Start

1. Get an OS API Key

2. Run with Docker and add to your Claude Desktop config (easiest)

Clone the repository:
git clone https://github.com/your-username/os-mcp-server.git
cd os-mcp-server

Then build the Docker image:

docker build -t os-mcp-server .

Add the following to your Claude Desktop config:

{
  "mcpServers": {
    "os-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "OS_API_KEY=your_api_key_here",
        "-e",
        "STDIO_KEY=any_value",
        "os-mcp-server"
      ]
    }
  }
}

Open Claude Desktop and you should now see all available tools, resources, and prompts.

Requirements

Python 3.11+
OS API Key from OS Data Hub
Set a STDIO_KEY env var which can be any value for now whilst auth is improved.

License

MIT License. This project does not have the endorsement of Ordnance Survey. This is a personal project and not affiliated with Ordnance Survey. This is not a commercial product. It is actively being worked on so expect breaking changes and bugs.

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Python-based MCP server that provides access to Ordnance Survey APIs, allowing querying of geographic data through a standardized protocol with features like collection management, feature search, and spatial filtering.

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