Zero-LLM structural code retrieval for AI coding agents, served over MCP.
Use this profile to copy client config, check auth requirements, review tools and resources, and compare related MCP servers before adding it to an AI client.
Get practical integration notes and launch examples for MCP servers like skeletongraph.
uvx skeletongraphAdd this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
{
"mcpServers": {
"io-github-yashdoke7-skeletongraph": {
"command": "uvx",
"args": [
"skeletongraph"
]
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonNo remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.
skeletongraph is an MCP server for Zero-LLM structural code retrieval for AI coding agents, served over MCP.. It supports STDIO transport.
Use the generated config in Install. This server runs with uvx skeletongraph; add any required environment variables before starting your client.
Choose the Claude Desktop tab in Install and copy the config for uvx skeletongraph. Add required environment variables before starting Claude Desktop.
Choose the Claude Code tab in Install and copy the config for uvx skeletongraph. Add required environment variables before starting Claude Code.
Choose the Codex tab in Install and copy the config for uvx skeletongraph. Add required environment variables before starting Codex.
Choose the Cursor or VS Code tab in Install and copy the config for uvx skeletongraph. Add required environment variables before starting Cursor or VS Code.
skeletongraph uses STDIO transport. Use the package or command config in Install.
skeletongraph inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.
skeletongraph is marked with Auth required by registry metadata auth. You may need provider login, an API key, a bearer token, or a session header.
| Package | Registry | Version | Inputs |
|---|---|---|---|
skeletongraphstdio | pypi | 0.1.1 | Argument: --path |