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infino-ai/code-context

by Various

Local code search for AI coding agents: a CLI and MCP server with hybrid keyword + semantic search and SQL relevance-ranked aggregation over an index in plain files. No accounts, n

MCP

infino-ai/code-context

Added 23 Sept 2026

#bm25 #claude-code #code-search #codebase-context #coding-agents #cursor #hybrid-search #local-first

Overview

A local code search tool for AI coding agents, shipped as a CLI and MCP server. It indexes code into plain files and answers queries with hybrid keyword and semantic search, using SQL to aggregate and rank results. No accounts, API keys, or external server are required.

Best for

Best for
Developers building local-first AI coding agents that need private code search.

Use cases

  • Give an AI agent fast local code lookup
  • Search a codebase semantically without sending code to a cloud service
  • Run a self-hosted MCP search server for coding assistants

How to use

Install

npm install -g @infino-ai/code-context

Tools exposed

  • CX_INDEX_DIR
  • CX_SEARCH_K
  • CX_ROOT
  • CX_AUTO_INDEX
  • CX_AUTO_SYNC
  • CX_SYNC_INTERVAL_SECS
  • CX_NO_EMBED
  • CX_NO_RECEIPT

Tested with

Claude Code, Cursor, Windsurf, Cline

Notes

A local code search tool for AI coding agents, shipped as a CLI and MCP server. It indexes code into plain files and answers queries with hybrid keyword and semantic search, using SQL to aggregate and rank results. No accounts, API keys, or external server are required.

31 stars on GitHub. Last updated 2026-09-23. Licensed Apache-2.0.

Use cases

  • Give an AI agent fast local code lookup
  • Search a codebase semantically without sending code to a cloud service
  • Run a self-hosted MCP search server for coding assistants

Pros

  • Fully local, no accounts or keys
  • Combines keyword and semantic search for better recall
  • Simple deployment via CLI or MCP

Cons

  • Index stored in plain files, not a managed database
  • Early-stage project with few stars
  • Requires local setup and maintenance

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Fully local, no accounts or keys
  • Combines keyword and semantic search for better recall
  • Simple deployment via CLI or MCP

Cons

  • Index stored in plain files, not a managed database
  • Early-stage project with few stars
  • Requires local setup and maintenance
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