Vexor

A semantic search engine for files and code.

What does this entry provide?

Vexor is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 76/100. 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 Vexor 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: 76/100
Install method: pypi
Repo: scarletkc/vexor
Repo updated: Sep 27, 2026

Install command

uvx vexor==0.30.0

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Sep 27, 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": "2026-09-27T04:23:19.016655Z",
      "publishedAt": "2026-09-27T04:23:19.016655Z",
      "statusChangedAt": "2026-09-27T04:23:19.016655Z"
    }
  },
  "server": {
    "name": "io.github.scarletkc/vexor",
    "title": "Vexor",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.30.0",
    "packages": [
      {
        "version": "0.30.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "vexor",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "packageArguments": [
          {
            "type": "positional",
            "value": "mcp",
            "description": "Run the MCP stdio server"
          }
        ],
        "environmentVariables": [
          {
            "name": "VEXOR_API_KEY",
            "isSecret": true,
            "description": "Embedding provider API key (optional; overrides a stored key; providers can also be configured via `vexor init`)"
          },
          {
            "name": "VEXOR_REMOTE_RERANK_API_KEY",
            "isSecret": true,
            "description": "Remote reranker API key (optional; overrides a stored key; only needed when rerank is set to remote)"
          },
          {
            "name": "VEXOR_CONFIG_JSON",
            "description": "Non-secret Vexor config as a JSON object, e.g. {\"provider\": \"gemini\", \"rerank\": \"bm25\"} (optional; merged over ~/.vexor/config.json; credential fields are rejected, use the dedicated variables)"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/scarletkc/vexor",
      "source": "github"
    },
    "description": "A semantic search engine for files and code."
  }
}

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