azure-wiki-search-server

coder-linping/azure-wiki-search-server

3.3

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The Azure Wiki Search Server is an MCP server that allows AI agents to search on Azure wiki.

The Azure Wiki Search Server is designed to facilitate AI agents in efficiently searching and retrieving information from the Azure wiki. By implementing the Model Context Protocol (MCP) specification, this server provides a structured and standardized way for AI agents to interact with the Azure wiki. The server is equipped with tools that enable searching and retrieving wiki content, making it a valuable resource for developers and organizations that rely on Azure documentation. The server is built to be compatible with various platforms, ensuring that users can integrate it into their existing workflows with ease. With the ability to search and access specific wiki content, users can enhance their productivity and streamline their information retrieval processes.

Features

  • Implements MCP specification for standardized interaction.
  • Provides tools for searching and retrieving Azure wiki content.
  • Compatible with multiple platforms for easy integration.
  • Enhances productivity by streamlining information retrieval.
  • Supports AI agents in accessing Azure documentation efficiently.

Usages

usage with VS Code

"mcp": {
  "servers": {
    "edge_wiki": {
      "command": "uv",
      "args": [
          "--directory",
          "<absolute path to your cloned folder>",
          "run",
          "src/edge_wiki.py"
      ],
      "env": {
          "PAT": "Your personal access token",
          "ORG": "Your organization,default is microsoft",
          "PROJECT": "Your project, default is Edge"
      }
    }
  }
}

Tools

  1. search_wiki

    Search Edge Wiki to find related material for {query}.

  2. get_wiki_by_path

    Get wiki content by provided path.