azure-wiki-search-server

[](https://mseep.ai/app/coder-linping-azure-wiki-search-server) # Azure Wiki Search Server This mcp server implements the MCP specification to allow AI agents to search on Azure wiki. ## Tools * __search_wiki__ Search Edge Wiki to find related material for {query}. * __get_wiki_by_path__ Get wiki content by provided path. ## Prerequest 1. Install the [latest VS code](https://code.visualstudio.com/download). 2. Install the [GitHub Copilot](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot) and [GitHub Copilot Chat](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot-chat) extensions 3. Install Python 3.10 or higher. 4. Install uv. On Windows ``` powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" ``` On Mac|Linux ``` curl -LsSf https://astral.sh/uv/install.sh | sh ``` ## Local Setup 1. Clone this repo. ``` git clone https://github.com/coder-linping/azure-wiki-search-server.git cd azure-wiki-search-server ``` 2. Setup env. On Windows ``` uv venv .venv/Scripts/activate ``` On Mac | Linux ``` uv venv source .venv/bin/activate ``` 3. Configuration for VS Code For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON). Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others. ``` "mcp": { "servers": { "edge_wiki": { "command": "uv", "args": [ "--directory", "<absolute path to your cloned folder>", "run", "src/edge_wiki.py" ], "env": { "ORG": "Your organization，default is microsoft", "PROJECT": "Your project, default is Edge" }, } } } ```