io.github.TheAiSingularity/agentic-research MCP Server

Name: io.github.TheAiSingularity/agentic-research MCP Server
Author: io.github.TheAiSingularity

io.github.TheAiSingularity/agentic-research

Repository Registry

What is the io.github.TheAiSingularity/agentic-research MCP server?

Local research agent that verifies its own answers. Runs on Gemma 3 4B + Ollama, $0/query.

How to install io.github.TheAiSingularity/agentic-research

Copy-paste configuration for popular MCP clients.

transport: stdio

Config generated by PluginBench — verify against the source before use.

Environment / auth

OPENAI_BASE_URL
Any OpenAI-compatible endpoint. Default: OpenAI cloud. Use http://localhost:11434/v1 for Ollama.
OPENAI_API_KEY
secret
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'.

Claude Desktop

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "agentic-research": {
      "command": "agentic-research-mcp",
      "args": [
        "agentic-research-engine"
      ],
      "env": {
        "OPENAI_BASE_URL": "<YOUR_OPENAI_BASE_URL>",
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "MODEL_SYNTHESIZER": "<YOUR_MODEL_SYNTHESIZER>",
        "MODEL_PLANNER": "<YOUR_MODEL_PLANNER>",
        "EMBED_MODEL": "<YOUR_EMBED_MODEL>",
        "SEARXNG_URL": "<YOUR_SEARXNG_URL>",
        "LOCAL_CORPUS_PATH": "<YOUR_LOCAL_CORPUS_PATH>",
        "ENABLE_RERANK": "<YOUR_ENABLE_RERANK>",
        "ENABLE_FETCH": "<YOUR_ENABLE_FETCH>"
      }
    }
  }
}

Cursor

~/.cursor/mcp.json

{
  "mcpServers": {
    "agentic-research": {
      "command": "agentic-research-mcp",
      "args": [
        "agentic-research-engine"
      ],
      "env": {
        "OPENAI_BASE_URL": "<YOUR_OPENAI_BASE_URL>",
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "MODEL_SYNTHESIZER": "<YOUR_MODEL_SYNTHESIZER>",
        "MODEL_PLANNER": "<YOUR_MODEL_PLANNER>",
        "EMBED_MODEL": "<YOUR_EMBED_MODEL>",
        "SEARXNG_URL": "<YOUR_SEARXNG_URL>",
        "LOCAL_CORPUS_PATH": "<YOUR_LOCAL_CORPUS_PATH>",
        "ENABLE_RERANK": "<YOUR_ENABLE_RERANK>",
        "ENABLE_FETCH": "<YOUR_ENABLE_FETCH>"
      }
    }
  }
}

Windsurf

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "agentic-research": {
      "command": "agentic-research-mcp",
      "args": [
        "agentic-research-engine"
      ],
      "env": {
        "OPENAI_BASE_URL": "<YOUR_OPENAI_BASE_URL>",
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "MODEL_SYNTHESIZER": "<YOUR_MODEL_SYNTHESIZER>",
        "MODEL_PLANNER": "<YOUR_MODEL_PLANNER>",
        "EMBED_MODEL": "<YOUR_EMBED_MODEL>",
        "SEARXNG_URL": "<YOUR_SEARXNG_URL>",
        "LOCAL_CORPUS_PATH": "<YOUR_LOCAL_CORPUS_PATH>",
        "ENABLE_RERANK": "<YOUR_ENABLE_RERANK>",
        "ENABLE_FETCH": "<YOUR_ENABLE_FETCH>"
      }
    }
  }
}

VS Code

.vscode/mcp.json

{
  "servers": {
    "agentic-research": {
      "type": "stdio",
      "command": "agentic-research-mcp",
      "args": [
        "agentic-research-engine"
      ],
      "env": {
        "OPENAI_BASE_URL": "<YOUR_OPENAI_BASE_URL>",
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "MODEL_SYNTHESIZER": "<YOUR_MODEL_SYNTHESIZER>",
        "MODEL_PLANNER": "<YOUR_MODEL_PLANNER>",
        "EMBED_MODEL": "<YOUR_EMBED_MODEL>",
        "SEARXNG_URL": "<YOUR_SEARXNG_URL>",
        "LOCAL_CORPUS_PATH": "<YOUR_LOCAL_CORPUS_PATH>",
        "ENABLE_RERANK": "<YOUR_ENABLE_RERANK>",
        "ENABLE_FETCH": "<YOUR_ENABLE_FETCH>"
      }
    }
  }
}

Claude Code

claude mcp add agentic-research --env OPENAI_BASE_URL=<YOUR_OPENAI_BASE_URL> --env OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> --env MODEL_SYNTHESIZER=<YOUR_MODEL_SYNTHESIZER> --env MODEL_PLANNER=<YOUR_MODEL_PLANNER> --env EMBED_MODEL=<YOUR_EMBED_MODEL> --env SEARXNG_URL=<YOUR_SEARXNG_URL> --env LOCAL_CORPUS_PATH=<YOUR_LOCAL_CORPUS_PATH> --env ENABLE_RERANK=<YOUR_ENABLE_RERANK> --env ENABLE_FETCH=<YOUR_ENABLE_FETCH> -- agentic-research-mcp agentic-research-engine