AI coding assistants hallucinate APIs. They suggest deprecated methods, wrong signatures, or functions that don't exist—because their training data is stale. Index fixes this. It indexes your actual dependencies locally, creating a semantic search layer over every function, class, and type. Ask natural questions like "how do I stream responses" and get the exact method with current signatures and docs. Ships as a CLI and MCP server. Point Claude Code at it and watch hallucinations disappear.

Setapp — Grow, and monetize your app with unified AI gateway

Grow, and monetize your app with unified AI gateway

Hey PH! I built Index to solve a friction point I kept hitting with AI coding assistants. When you're working with libraries that have sparse documentation, recent API changes, or just weren't well-represented in training data—AI assistants struggle. They'll suggest methods that don't exist in your version, or miss the idiomatic patterns entirely. The fix: let the AI search your actual dependency source before writing code. Index parses your dependencies (npm, pip, cargo), builds a local semantic index, and exposes it via MCP. Now when Claude Code needs to use a library, it searches the index first and gets real function signatures from your exact installed version. Works especially well for newer libraries, niche packages, or anything with fast-moving APIs. Curious what libraries give your AI tools the most trouble—would love to hear.

Setapp — Grow, and monetize your app with unified AI gateway

Grow, and monetize your app with unified AI gateway

Index

Semantic search pinned to your dependency versions

Semantic search pinned to your dependency versions