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MCP Registry/agentic-research
A

agentic-research

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

Use with clientMarkdown

Install and compare this MCP server

Use this profile to copy client config, check auth requirements, review tools and resources, and compare related MCP servers before adding it to an AI client.

Install
uvx agentic-research-engine
Clients
Claude, Cursor, VS Code, Codex
Transport
STDIO
Auth
Not captured
Capabilities
0 tools, 0 resources, 0 prompts
Related
onsense, Bowmark, nable

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InstallAuthTools & ResourcesOverview

Install

Connection

Transport
STDIO
Command
uvx agentic-research-engine
Environment
{ "OPENAI_BASE_URL": "YOUR_VALUE_HERE", "OPENAI_API_KEY": "YOUR_SECRET_VALUE", "MODEL_SYNTHESIZER": "YOUR_VALUE_HERE", "MODEL_PLANNER": "YOUR_VALUE_HERE", "EMBED_MODEL": "YOUR_VALUE_HERE", "SEARXNG_URL": "YOUR_VALUE_HERE", "LOCAL_CORPUS_PATH": "YOUR_VALUE_HERE", "ENABLE_RERANK": "YOUR_VALUE_HERE", "ENABLE_FETCH": "YOUR_VALUE_HERE" }

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

{
  "mcpServers": {
    "io-github-theaisingularity-agentic-research": {
      "command": "uvx",
      "args": [
        "agentic-research-engine"
      ],
      "env": {
        "OPENAI_BASE_URL": "YOUR_VALUE_HERE",
        "OPENAI_API_KEY": "YOUR_SECRET_VALUE",
        "MODEL_SYNTHESIZER": "YOUR_VALUE_HERE",
        "MODEL_PLANNER": "YOUR_VALUE_HERE",
        "EMBED_MODEL": "YOUR_VALUE_HERE",
        "SEARXNG_URL": "YOUR_VALUE_HERE",
        "LOCAL_CORPUS_PATH": "YOUR_VALUE_HERE",
        "ENABLE_RERANK": "YOUR_VALUE_HERE",
        "ENABLE_FETCH": "YOUR_VALUE_HERE"
      }
    }
  }
}

Config location

macOS
~/Library/Application Support/Claude/claude_desktop_config.json
Windows
%APPDATA%\Claude\claude_desktop_config.json

Auth

Package transport

No remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.

Tools & Resources

Tools
0
Resources
0
Prompts
0
No public tools, resources, or prompts captured yet. Use Auth when this server requires credentials.

Tools

No tools captured yet.

Resources

No resources captured yet.

Prompts

No prompts captured yet.

Questions

What is agentic-research?+

agentic-research is an MCP server for Local research agent that verifies its own answers. Runs on Gemma 3 4B + Ollama, $0/query.. It supports STDIO transport.

How do I install agentic-research?+

Use the generated config in Install. This server runs with uvx agentic-research-engine; add any required environment variables before starting your client.

How do I add agentic-research to Claude Desktop?+

Choose the Claude Desktop tab in Install and copy the config for uvx agentic-research-engine. Add required environment variables before starting Claude Desktop.

How do I add agentic-research to Claude Code?+

Choose the Claude Code tab in Install and copy the config for uvx agentic-research-engine. Add required environment variables before starting Claude Code.

How do I use agentic-research with Codex?+

Choose the Codex tab in Install and copy the config for uvx agentic-research-engine. Add required environment variables before starting Codex.

How do I add agentic-research to Cursor or VS Code?+

Choose the Cursor or VS Code tab in Install and copy the config for uvx agentic-research-engine. Add required environment variables before starting Cursor or VS Code.

What endpoint and transport does agentic-research use?+

agentic-research uses STDIO transport. Use the package or command config in Install.

What tools and resources does agentic-research expose?+

agentic-research inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.

Does agentic-research require authentication?+

agentic-research does not advertise a verified auth requirement. If discovery fails, it may still need provider login, an API key, a bearer token, or a session header.

Related MCPs

onsenseAndroid phone camera, sensors & files for any MCP client — local, no cloud, no ADB.BowmarkDo things on live websites: prices, availability, quotes, bookings, anything behind a form or login.nableSee where your cloud and AI bills go, and spend less. Local-first, in your terminal or editor.HPSILab Quant FinanceQuant finance tools: stock analysis, options IV, Monte Carlo, AI prediction, risk scan, backtests.DataCharterLocal-first, contract-governed data explorer with read-only, PII-masked query tools for AI agents.InferraAuditable rule-based decisions with RAG explanations: a Rete engine decides, an LLM explains why.

Profile notes

  • Package: Pypi agentic-research-engine v0.1.3
  • Environment variable: OPENAI_BASE_URL
  • Environment variable: OPENAI_API_KEY (secret)
  • Environment variable: MODEL_SYNTHESIZER
  • Environment variable: MODEL_PLANNER
  • Environment variable: EMBED_MODEL
  • Environment variable: SEARXNG_URL
  • Environment variable: LOCAL_CORPUS_PATH
  • Environment variable: ENABLE_RERANK
  • Environment variable: ENABLE_FETCH

Packages

PackageRegistryVersionInputs
agentic-research-engine

stdio

pypi0.1.3

Env: OPENAI_BASE_URL

Env: OPENAI_API_KEY secret

Env: MODEL_SYNTHESIZER

Env: MODEL_PLANNER

Env: EMBED_MODEL

Env: SEARXNG_URL

Env: LOCAL_CORPUS_PATH

Env: ENABLE_RERANK

Env: ENABLE_FETCH

Details

Version
0.1.3
Repository
https://github.com/TheAiSingularity/agentic-research-engine-oss
Updated
Apr 20, 2026