Skip to main content

implementation of the model context protocol for the wikimedia enterprise api and wikibase REST API

Project description

Python Wikimedia Enterprise Model Context Protocol Implementation

This is not the official MCP implementation for the Wikimedia Enterprise API.

To run make a .env file in this directory with WME_USERNAME and WME_PASSWORD (you can get free credentials at https://enterprise.wikimedia.com/).

Currently to use this you need to install Anthropic Desktop and then add it to your claude_desktop_config.json.

A sample json would look like:

{
  "mcpServers": {
    "wikimedia-enterprise": {
      "command": "uvx",
      "args": [
        "wikimedia-enterprise-mcp@latest",
        "--username",
        "...",
        "--password",
        "..."
      ]
    }
  }
}

but remember to enter in your credentials.

Installation

Git clone the repo. You need to have poetry installed to manage the dependencies (and a modern version of python).

Testing

For testing make a .env file with WME_USERNAME and WME_PASSWORD.

Install the pre-commit hooks with poetry run pre-commit install or just run them manually e.g. poetry run ruff check

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wikimedia_enterprise_mcp-0.1.3.tar.gz (6.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wikimedia_enterprise_mcp-0.1.3-py3-none-any.whl (8.7 kB view details)

Uploaded Python 3

File details

Details for the file wikimedia_enterprise_mcp-0.1.3.tar.gz.

File metadata

  • Download URL: wikimedia_enterprise_mcp-0.1.3.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.4 CPython/3.13.1 Darwin/23.4.0

File hashes

Hashes for wikimedia_enterprise_mcp-0.1.3.tar.gz
Algorithm Hash digest
SHA256 5b627df022b6eaa3ccc51ad859f3c0aff08f8c4df9d84eb189c7cc1a195e6fd5
MD5 7ab6dd2b34b62002f312fe6fe57149dd
BLAKE2b-256 6c58f76239e34936fcdd04d0fac745adac00a8b99528d4dace75dee52d7feb92

See more details on using hashes here.

File details

Details for the file wikimedia_enterprise_mcp-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for wikimedia_enterprise_mcp-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7e0e9ddcfeab8fbf8ce35282a7faab921a323be210a724602e51432d4b7629eb
MD5 e0ce59f713249a0deda6f81919cf6393
BLAKE2b-256 99146e4a7cc90d4ca2e5df19d66806030ea301c6bd857127084ca4ec7e982ed4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page