gemini-researcher

MCP ServerMCP Registry官方收录

io.github.capyBearista/gemini-researcher · v1.0.2

Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage

源仓库 ↗

概览

gemini-researcher 是一个MCP Server，收录自官方 MCP Registry。支持 stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。

安装

选择你的平台查看安装方式

{
  "mcpServers": {
    "gemini-researcher": {
      "command": "npx",
      "args": [
        "-y",
        "gemini-researcher"
      ]
    }
  }
}

环境变量

GEMINI_API_KEY可选secret

Gemini API key (optional if you already authenticated Gemini CLI via "gemini" login)

PROJECT_ROOT可选

Override the project root directory used for path validation (defaults to current working directory)

RESPONSE_CHUNK_SIZE_KB可选

Chunk size threshold (KB) for large responses (default: 10)

CACHE_TTL_MS可选

Chunk cache TTL in milliseconds (default: 3600000 / 1 hour)

DEBUG可选

Enable debug logging (set to "true" or "1")

GOOGLE_APPLICATION_CREDENTIALS可选

Vertex AI / Google auth: path to a service account JSON credentials file

GOOGLE_CLOUD_PROJECT可选

Vertex AI / Google auth: GCP project ID (used by some auth configurations)

VERTEX_AI_PROJECT可选

Vertex AI / Google auth: Vertex AI project identifier (used by some auth configurations)

统一 Manifest

{
  "id": "io.github.capyBearista/gemini-researcher",
  "type": "mcp-server",
  "version": "1.0.2",
  "displayName": "gemini-researcher",
  "description": "Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage",
  "repository": {
    "url": "https://github.com/capyBearista/gemini-researcher",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "npm",
        "identifier": "gemini-researcher",
        "version": "1.0.2",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "GEMINI_API_KEY",
            "description": "Gemini API key (optional if you already authenticated Gemini CLI via \"gemini\" login)",
            "isSecret": true
          },
          {
            "name": "PROJECT_ROOT",
            "description": "Override the project root directory used for path validation (defaults to current working directory)"
          },
          {
            "name": "RESPONSE_CHUNK_SIZE_KB",
            "description": "Chunk size threshold (KB) for large responses (default: 10)"
          },
          {
            "name": "CACHE_TTL_MS",
            "description": "Chunk cache TTL in milliseconds (default: 3600000 / 1 hour)"
          },
          {
            "name": "DEBUG",
            "description": "Enable debug logging (set to \"true\" or \"1\")"
          },
          {
            "name": "GOOGLE_APPLICATION_CREDENTIALS",
            "description": "Vertex AI / Google auth: path to a service account JSON credentials file"
          },
          {
            "name": "GOOGLE_CLOUD_PROJECT",
            "description": "Vertex AI / Google auth: GCP project ID (used by some auth configurations)"
          },
          {
            "name": "VERTEX_AI_PROJECT",
            "description": "Vertex AI / Google auth: Vertex AI project identifier (used by some auth configurations)"
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.capyBearista/gemini-researcher",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.capyBearista%2Fgemini-researcher/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}

gemini-researcher

概览

安装

环境变量

相关资源

RFP.ai

xenarch-mcp

api

agent-lsp

hostinger-api-mcp

Unterm

统一 Manifest