io.github.qmediat/gemini-code-context-mcp

Codebase Q&A for Claude Code through Gemini's 1M-token window, with workspace scans and caching.

What does this entry provide?

io.github.qmediat/gemini-code-context-mcp is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. 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 io.github.qmediat/gemini-code-context-mcp 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: 78/100
Install method: npm
Repo: qmediat/gemini-code-context-mcp
Repo updated: Oct 6, 2026

Install command

npx -y @qmediat.io/gemini-code-context-mcp@1.20.0

Install method: npm

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Oct 6, 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.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-06T13:55:41.184606Z",
      "publishedAt": "2026-10-06T13:55:41.184606Z",
      "statusChangedAt": "2026-10-06T13:55:41.184606Z"
    }
  },
  "server": {
    "name": "io.github.qmediat/gemini-code-context-mcp",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.20.0",
    "packages": [
      {
        "version": "1.20.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@qmediat.io/gemini-code-context-mcp",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "GEMINI_CREDENTIALS_PROFILE",
            "format": "string",
            "description": "Profile name in ~/.config/qmediat/credentials (chmod 0600). Created by `npx @qmediat.io/gemini-code-context-mcp init`. Recommended; keeps your API key out of ~/.claude.json."
          },
          {
            "name": "GEMINI_API_KEY",
            "format": "string",
            "isSecret": true,
            "description": "Fallback Tier 3 auth. Your Gemini API key. Emits a warning at startup recommending you move it to the credentials profile via the init command."
          },
          {
            "name": "GEMINI_USE_VERTEX",
            "format": "string",
            "description": "Set to `true` to use Vertex AI backend via Application Default Credentials. Requires GOOGLE_CLOUD_PROJECT."
          },
          {
            "name": "GOOGLE_CLOUD_PROJECT",
            "format": "string",
            "description": "GCP project ID when using Vertex AI backend. Only read when GEMINI_USE_VERTEX=true."
          },
          {
            "name": "GEMINI_DAILY_BUDGET_USD",
            "format": "string",
            "description": "Hard daily USD cap enforced locally. Server refuses calls after the cap until UTC midnight. Unlimited if unset. Honoured by `ask`, `code`, and per-iteration by `ask_agentic`."
          },
          {
            "name": "GEMINI_CODE_CONTEXT_DEFAULT_MODEL",
            "format": "string",
            "description": "Model alias (`latest-pro-thinking`, `latest-pro`, `latest-flash`, `latest-lite`, `latest-vision`) or literal model ID, read by ask, ask_agentic and code. Default: `latest-pro-thinking` (the thinking tier). code replaces a configured default that resolves but cannot reason or think with `latest-pro-thinking` and reports it as `configuredModelReplaced`; a default that does not resolve fails every tool."
          },
          {
            "name": "GEMINI_CODE_CONTEXT_CACHING_MODE",
            "format": "string",
            "description": "`implicit` (default since v1.14.0: the workspace text is sent inline, Gemini's automatic prefix cache decides any discount) or `explicit` (Files API upload + Context Cache with Google's cached-input price). Per-call `cachingMode` wins."
          },
          {
            "name": "GEMINI_CODE_CONTEXT_CACHE_TTL_SECONDS",
            "format": "string",
            "description": "Context Cache TTL in seconds in explicit caching mode. Default: 3600 (1 hour). Hot workspaces (<10 min since last use) auto-refresh via background watcher."
          },
          {
            "name": "GEMINI_CODE_CONTEXT_LOG_LEVEL",
            "format": "string",
            "description": "`debug` | `info` | `warn` | `error`. Default: `info`."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/qmediat/gemini-code-context-mcp",
      "source": "github"
    },
    "description": "Codebase Q&A for Claude Code through Gemini's 1M-token window, with workspace scans and caching."
  }
}

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