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- azure-wiki-search-server
Azure Wiki Search Server
What is Azure Wiki Search Server
The azure-wiki-search-server is an MCP server that implements the MCP specification, enabling AI agents to search for information on Azure wiki.
Use cases
Use cases include assisting developers in finding relevant documentation quickly, enabling AI agents to gather information for decision-making, and enhancing collaborative projects by providing easy access to shared knowledge.
How to use
To use azure-wiki-search-server, first install the necessary prerequisites including VS Code, GitHub Copilot, Python 3.10 or higher, and uv. Then clone the repository, set up the environment, and configure VS Code with the required settings.
Key features
Key features include the ability to search the Edge Wiki for related materials using the ‘search_wiki’ tool and retrieve wiki content by a specified path using the ‘get_wiki_by_path’ tool.
Where to use
azure-wiki-search-server can be utilized in fields such as software development, AI research, and any domain that requires efficient access to documentation and knowledge bases.
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 Azure Wiki Search Server
The azure-wiki-search-server is an MCP server that implements the MCP specification, enabling AI agents to search for information on Azure wiki.
Use cases
Use cases include assisting developers in finding relevant documentation quickly, enabling AI agents to gather information for decision-making, and enhancing collaborative projects by providing easy access to shared knowledge.
How to use
To use azure-wiki-search-server, first install the necessary prerequisites including VS Code, GitHub Copilot, Python 3.10 or higher, and uv. Then clone the repository, set up the environment, and configure VS Code with the required settings.
Key features
Key features include the ability to search the Edge Wiki for related materials using the ‘search_wiki’ tool and retrieve wiki content by a specified path using the ‘get_wiki_by_path’ tool.
Where to use
azure-wiki-search-server can be utilized in fields such as software development, AI research, and any domain that requires efficient access to documentation and knowledge bases.
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
Azure Wiki Search Server
This mcp server implements the MCP specification to allow AI agents to search on Azure wiki.
Tools
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search_wiki
Search Edge Wiki to find related material for {query}.
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get_wiki_by_path
Get wiki content by provided path.
Prerequest
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Install the latest VS code.
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Install the GitHub Copilot and GitHub Copilot Chat extensions
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Install Python 3.10 or higher.
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Install uv.
On Windowspowershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"On Mac|Linux
curl -LsSf https://astral.sh/uv/install.sh | sh -
Prepare a Personal Access Token and make sure it has permission to read wiki.
Local Setup
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Clone this repo.
git clone https://github.com/coder-linping/azure-wiki-search-server.git cd azure-wiki-search-server -
Setup env.
On Windowsuv venv .venv/Scripts/activateOn Mac | Linux
uv venv source .venv/bin/activate -
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": { "PAT": "Your personal access token", "ORG": "Your organization,default is microsoft", "PROJECT": "Your project, default is Edge" }, } } }
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.










