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Semantic code search for AI agents — hybrid BM25+vector, call-graph, 20+ languages.
trelix is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding trelix to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx trelix-mcp==3.4.3Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-04T11:12:08.569044Z",
"publishedAt": "2026-10-04T11:12:08.569044Z",
"statusChangedAt": "2026-10-04T11:12:08.569044Z"
}
},
"server": {
"name": "io.github.sairam0424/trelix",
"title": "trelix",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "3.4.3",
"packages": [
{
"version": "3.4.3",
"transport": {
"type": "stdio"
},
"identifier": "trelix-mcp",
"registryType": "pypi"
}
],
"description": "Semantic code search for AI agents — hybrid BM25+vector, call-graph, 20+ languages."
}
}