The MCP Code Indexer is a server implementation designed to enhance AI agents' code understanding capabilities. It utilizes advanced embedding models and vector databases to index and retrieve code snippets efficiently. The server integrates with the MCP protocol, supports multiple programming languages through tree-sitter parsing, and offers a flexible API for code search and analysis tasks. It's particularly useful for AI-assisted software development, code review, and automated documentation generation.
Cognium trust score
0%
Tier
Scanned
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-01.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.