Police Uk Api Mcp Server
What is Police Uk Api Mcp Server
The police-uk-api-mcp-server is a Python-based MCP server that provides tools for accessing and interacting with the police.uk API, which offers data on crimes, police forces, neighbourhoods, and stop-and-search incidents.
Use cases
Use cases include developing applications for crime mapping, creating dashboards for police performance analysis, providing neighborhood safety information to residents, and supporting research in criminology and public policy.
How to use
To use the police-uk-api-mcp-server, clone the repository from GitHub, install the required dependencies using pip, and run the server with the command ‘python server.py’. Configure the server settings to integrate it into an MCP ecosystem.
Key features
Key features include 21 distinct tools for querying police.uk API endpoints, the ability to retrieve street-level crimes, neighbourhood details, force information, and stop-and-search records, built with FastMCP for easy integration, and comprehensive error handling with clear documentation for each tool.
Where to use
The police-uk-api-mcp-server can be used in various fields such as law enforcement, public safety analysis, urban planning, and community engagement, where access to crime data and police information is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Police Uk Api Mcp Server
The police-uk-api-mcp-server is a Python-based MCP server that provides tools for accessing and interacting with the police.uk API, which offers data on crimes, police forces, neighbourhoods, and stop-and-search incidents.
Use cases
Use cases include developing applications for crime mapping, creating dashboards for police performance analysis, providing neighborhood safety information to residents, and supporting research in criminology and public policy.
How to use
To use the police-uk-api-mcp-server, clone the repository from GitHub, install the required dependencies using pip, and run the server with the command ‘python server.py’. Configure the server settings to integrate it into an MCP ecosystem.
Key features
Key features include 21 distinct tools for querying police.uk API endpoints, the ability to retrieve street-level crimes, neighbourhood details, force information, and stop-and-search records, built with FastMCP for easy integration, and comprehensive error handling with clear documentation for each tool.
Where to use
The police-uk-api-mcp-server can be used in various fields such as law enforcement, public safety analysis, urban planning, and community engagement, where access to crime data and police information is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
police-uk-api-mcp-server
A Python-based MCP server providing tools to access and interact with the police.uk API, offering data on crimes, police forces, neighbourhoods, and stop-and-search incidents.
Features
- 21 distinct tools for querying police.uk API endpoints.
- Retrieve street-level crimes, neighbourhood details, force information, stop-and-search records, and more.
- Built with
FastMCPfor easy integration into MCP-compatible systems. - Error handling and clear documentation for each tool.
Prerequisites
- Python 3.11+
- Required packages:
mcp,requests
Installation
-
Clone the repository:
git clone https://github.com/dwain-barnes/police-uk-api-mcp-server.git cd police-uk-api-mcp-server -
Install dependencies:
pip install mcp requests
##Usage
Run the server:
python server.py
###Configuration
To integrate with an MCP ecosystem, update your server configuration
{
"mcpServers": {
"police-uk-api-tools": {
"command": "python",
"args": ["path/to/police-uk-api-mcp-server/server.py"],
"host": "127.0.0.1",
"port": 8080,
"timeout": 30000
}
}
}
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
