Dependency graph + 15 MCP tools. TS, JS, Python, Go, Rust, C. Docs, health, dead code, temporal
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"depwire": {
"args": [
"-y",
"depwire-cli",
"mcp"
],
"command": "npx"
}
}
}Are you the author?
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Your AI doesn't know your architecture. Depwire does.
Depwire builds a DETERMINISTIC, NOT PROBABILISTIC dependency graph of your codebase. This is not RAG. There are no embeddings, no similarity scores, no vector databases, no guesses. Depwire uses tree-sitter — the same parser powering GitHub's code intelligence — to extract exact symbol-level facts from every file: every function, every class, every interface, every import and export relationship, across 16 programming languages. When you ask "what breaks if I delete encodeToken in auth/token.ts?", Depwire does not search for similar-looking code and estimate an answer. It traverses the exact dependency graph and returns the precise list of 14 files that import that symbol, which import chains break, and what your health score drops by. This is compiler-level precision applied to AI-assisted development — not a language model's best guess about your code.
Not a build graph either. Tools like Nx, Turborepo, and Grapher track package-level dependencies for build caching. Depwire tracks symbol-level dependencies — every function, class, and import relationship — which is what makes What If simulation, graph-aware security scanning, and exact blast radius analysis possible.