A configurable Model Context Protocol (MCP) server that provides searchable access to multiple AI/ML SDK documentation and source code. Currently
If you want an AI assistant working directly with Sdk, the sdk mcp server is the bridge. A configurable Model Context Protocol (MCP) server that provides searchable access to multiple AI/ML SDK documentation and source code. Currently supports OpenAI Agents SDK and Google ADK, with easy extensibility for additional SDKs.
A configurable Model Context Protocol (MCP) server that provides searchable access to multiple AI/ML SDK documentation and source code. Currently supports OpenAI Agents SDK and Google ADK, with easy extensibility for additional SDKs.
Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. Sdk sits in that group. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"sdk-mcp-server": {
"command": "python",
"args": ["/absolute/path/to/sdk-mcp-server/src/server.py"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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