Symvanta

The problem: AI coding agents don't know how a codebase fits together. They grep for names, read whole files, pick the wrong caller, and change code without knowing what depends on it. In a large or multi-repo codebase that means broken builds, subtle regressions, and most of the agent's tokens spent searching instead of working. How it works: Symvanta indexes your GitHub repositories into a symbol-level code graph: every function, class, and endpoint, with the call, import, and dependency edges between them, across 11 languages. Multiple repositories link into one project graph, and feature branches index on their own revisions. The graph is served over MCP at https://mcp.symvanta.com/mcp with OAuth sign-in, so Claude Code, Cursor, Copilot, Codex, or any MCP client can ask exact questions: who calls this function, what breaks if I change it, where is the handler for this route, how does this feature work. Answers come back with file and line. Hosted, nothing to build or maintain locally.