Agentic Research MCP Server

What the code does

We read the source, 2 min ago · rules 3dff92dd89df

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

            data = pickle.load(f)

            subprocess.run(cmd, check=True, capture_output=True)

                    requests.post(f"https://api.telegram.org/bot{telegram_token}/sendMessage",

    "!pip install -q langgraph openai rank_bm25 trafilatura pypdf textual rich fastapi uvicorn jinja2 python-multipart sse-starlette mcp pyyaml pytest\n",

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Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

claude mcp add agentic-research -- uvx agentic-research-engine

{
  "mcpServers": {
    "agentic-research": {
      "args": [
        "agentic-research-engine"
      ],
      "command": "uvx"
    }
  }
}

[mcp_servers.agentic-research]
command = "uvx"
args = ["agentic-research-engine"]

{
  "mcpServers": {
    "agentic-research": {
      "args": [
        "agentic-research-engine"
      ],
      "command": "uvx"
    }
  }
}

{
  "mcpServers": {
    "agentic-research": {
      "args": [
        "agentic-research-engine"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: OPENAI_BASE_URL (Any OpenAI-compatible endpoint. Default: OpenAI cloud. Use http://localhost:11434/v1 for Ollama.), OPENAI_API_KEY (API key for the endpoint above. Use 'ollama' as a sentinel value when running locally against Ollama.), MODEL_SYNTHESIZER (Model identifier used for the synthesize node. Defaults to 'gpt-5-mini'; set to 'gemma3:4b' for Mac-local Ollama.), MODEL_PLANNER (Model for the plan / classify / critic / compress / verify nodes. Defaults to 'gpt-5-nano'.), EMBED_MODEL (Embedding model identifier (for retrieval + memory). Default 'text-embedding-3-small'; use 'nomic-embed-text' on Ollama.), SEARXNG_URL (Base URL of the SearXNG meta-search instance. Default http://localhost:8888.), LOCAL_CORPUS_PATH (Path to an index directory built via scripts/index_corpus.py. When set, local corpus hits augment web search.), ENABLE_RERANK (Set to '1' to enable the BAAI/bge-reranker-v2-m3 cross-encoder rerank stage. First run downloads ~560MB.), ENABLE_FETCH (Set to '0' to skip the trafilatura full-page fetch stage. Default '1'.). The author declared them in the registry entry; get the values from the project itself.