Codeix

Fast semantic code search for AI agents — find symbols, references, and callers across any codebase

What does this entry provide?

Codeix is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. 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 Codeix to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: npm
Repo: montanetech/codeix
Repo updated: Feb 21, 2026

Install command

npx -y codeix@0.5.0

Install method: npm

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Feb 21, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-02-21T15:33:25.036881Z",
      "publishedAt": "2026-02-21T15:33:25.036881Z",
      "statusChangedAt": "2026-02-21T15:33:25.036881Z"
    }
  },
  "server": {
    "name": "io.github.montanetech/codeix",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "license": "MIT OR Apache-2.0",
        "examples": [
          {
            "name": "NPM (recommended)",
            "command": "npx codeix",
            "description": "Run via npx - no installation required"
          },
          {
            "name": "Python (uvx)",
            "command": "uvx codeix",
            "description": "Run via uvx - no installation required"
          },
          {
            "name": "Claude Desktop config",
            "config": {
              "mcpServers": {
                "codeix": {
                  "args": [
                    "codeix"
                  ],
                  "command": "npx"
                }
              }
            },
            "description": "Add to claude_desktop_config.json"
          }
        ],
        "keywords": [
          "code-index",
          "tree-sitter",
          "mcp",
          "code-search",
          "symbols",
          "semantic-search"
        ],
        "publisher": "Montane.tech",
        "documentation": "https://codeix.dev/"
      }
    },
    "title": "Codeix",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.5.0",
    "packages": [
      {
        "version": "0.5.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "codeix",
        "runtimeHint": "npx",
        "registryType": "npm"
      },
      {
        "version": "0.5.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "codeix",
        "runtimeHint": "uvx",
        "registryType": "pypi"
      }
    ],
    "repository": {
      "url": "https://github.com/montanetech/codeix",
      "source": "github"
    },
    "websiteUrl": "https://codeix.dev",
    "description": "Fast semantic code search for AI agents — find symbols, references, and callers across any codebase"
  }
}

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