agentic-research — MCP Server 安装配置（官方 MCP Registry）

{
  "id": "io.github.TheAiSingularity/agentic-research",
  "type": "mcp-server",
  "version": "0.1.3",
  "displayName": "agentic-research",
  "description": "Local research agent that verifies its own answers. Runs on Gemma 3 4B + Ollama, $0/query.",
  "repository": {
    "url": "https://github.com/TheAiSingularity/agentic-research-engine-oss",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "pypi",
        "identifier": "agentic-research-engine",
        "version": "0.1.3",
        "runtimeHint": "agentic-research-mcp",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "OPENAI_BASE_URL",
            "description": "Any OpenAI-compatible endpoint. Default: OpenAI cloud. Use http://localhost:11434/v1 for Ollama."
          },
          {
            "name": "OPENAI_API_KEY",
            "description": "API key for the endpoint above. Use 'ollama' as a sentinel value when running locally against Ollama.",
            "isSecret": true
          },
          {
            "name": "MODEL_SYNTHESIZER",
            "description": "Model identifier used for the synthesize node. Defaults to 'gpt-5-mini'; set to 'gemma3:4b' for Mac-local Ollama."
          },
          {
            "name": "MODEL_PLANNER",
            "description": "Model for the plan / classify / critic / compress / verify nodes. Defaults to 'gpt-5-nano'."
          },
          {
            "name": "EMBED_MODEL",
            "description": "Embedding model identifier (for retrieval + memory). Default 'text-embedding-3-small'; use 'nomic-embed-text' on Ollama."
          },
          {
            "name": "SEARXNG_URL",
            "description": "Base URL of the SearXNG meta-search instance. Default http://localhost:8888."
          },
          {
            "name": "LOCAL_CORPUS_PATH",
            "description": "Path to an index directory built via scripts/index_corpus.py. When set, local corpus hits augment web search."
          },
          {
            "name": "ENABLE_RERANK",
            "description": "Set to '1' to enable the BAAI/bge-reranker-v2-m3 cross-encoder rerank stage. First run downloads ~560MB."
          },
          {
            "name": "ENABLE_FETCH",
            "description": "Set to '0' to skip the trafilatura full-page fetch stage. Default '1'."
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.TheAiSingularity/agentic-research",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.TheAiSingularity%2Fagentic-research/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}