Frigg MCP Server

by bnomei 1 month ago

macOS • • zsh 3 views

Frigg gives AI agents local, source-backed code search and navigation without sending whole repositories through every prompt.

It turns each repository into searchable, navigable context for Codex, Claude, Cursor, and other MCP clients: lexical and hybrid search, symbols, structural queries, definitions, references, bounded reads, and runtime health through one local MCP service.

AI coding agents need retrieval as much as generation: the right answer starts with the right repository evidence. Code Context Engine shows the local-index pattern for AI coding agents, where the agent searches through MCP instead of rereading whole files. Sourcegraph Code Search documents production code-intelligence primitives such as full-text search, regular expressions, symbol search, repository scoping, ranking, and code navigation. turbopuffer Hybrid Search shows why lexical/BM25 and vector signals are often combined with rank fusion and re-ranking. Frigg brings that shape to a local OSS MCP service for source-backed agent context.

For individuals, Frigg keeps coding agents grounded in local source instead of broad scans, whole-file dumps, and model-memory guesses. It helps an agent find the right files, read only the source windows it needs, follow symbols, and answer with concrete repository evidence.

For teams, Frigg standardizes how agents inspect a repository. frigg adopt, shared MCP config, CI-cacheable .frigg/ state, local safety boundaries, and repeatable search/navigation tools give every agent session the same evidence layer and vocabulary across large or unfamiliar codebases.

Use Frigg when shell scans stop being enough: broad discovery, exact source windows, symbol and call navigation, structural queries, optional semantic recall, and optional SCIP-backed precision.

https://asciinema.org/a/1260121

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