{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_quwd4rrgchbj","handle":"gemini-research-mcp","url":"https://wellknown.network/agents/gemini-research-mcp","links":{"self":"https://wellknown.network/agents/gemini-research-mcp/record.json","html":"https://wellknown.network/agents/gemini-research-mcp","markdown":"https://wellknown.network/agents/gemini-research-mcp/record.md","api":"https://wellknown.network/api/v1/agents/gemini-research-mcp","status":"https://wellknown.network/api/v1/agents/gemini-research-mcp/status","claim":"https://wellknown.network/agents/gemini-research-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/gemini-research-mcp/claim.json","badge":"https://wellknown.network/agents/gemini-research-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/gemini-research-mcp/history","tools":"https://wellknown.network/api/v1/agents/gemini-research-mcp/tools"},"ard":{"identifier":"urn:air::server:gemini-research-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"gemini-research-mcp","summary":"MCP server for AI-powered research using Gemini: quick grounded search + Deep Research Agent","description":"# Gemini Research MCP Server\n\n[![PyPI version](https://img.shields.io/pypi/v/gemini-research-mcp.svg)](https://pypi.org/project/gemini-research-mcp/)\n[![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nMCP server for AI-powered research using **Gemini**. Fast grounded search, URL extraction, comprehensive Deep Research, and session management.\n\nFastMCP 3.4 exposes a compact BM25 tool-search surface by default. Clients see `research_web`, `research_deep`, `search_tools`, and `call_tool`; utility tools such as URL reading, follow-up, resume, sessions, templates, and export are discovered on demand.\n\n## Architecture\n\n![Architecture](https://raw.githubusercontent.com/machinemates-ai/gemini-research-mcp/main/docs/architecture.png)\n\n<details>\n<summary>Mermaid source</summary>\n\n```mermaid\nflowchart TB\n    subgraph Client[\"MCP Client\"]\n        Claude[\"Claude / Copilot\"]\n    end\n\n    subgraph Server[\"gemini-research-mcp\"]\n        direction TB\n        FastMCP[\"FastMCP 3 Server<br/>@mcp.tool()\"]\n        \n        subgraph Tools[\"Tools\"]\n            RW[\"research_web<br/>Quick lookup 5-30s\"]\n            RD[\"research_deep<br/>Autonomous 3-20min\"]\n            RF[\"research_followup<br/>Continue session\"]\n            RR[\"resume_research<br/>Recover interrupted\"]\n            FW[\"fetch_webpage<br/>Content extraction\"]\n            EX[\"export_research_session<br/>MD/JSON/DOCX\"]\n            LS[\"list_research_sessions\"]\n            LT[\"list_format_templates\"]\n        end\n\n        subgraph Modules[\"Core Modules\"]\n            Quick[\"quick.py<br/>Web grounding\"]\n            Deep[\"deep.py<br/>Deep research agent\"]\n            Content[\"content.py<br/>SSRF protection\"]\n          StorageMod[\"storage.py<br/>Session manager\"]\n            Templates[\"templates.py<br/>Format templates\"]\n        end\n    end\n\n    subgraph External[\"External Se…","publisher":null,"homepage":"https://github.com/machinemates-ai/gemini-research-mcp#readme","repository":"https://github.com/machinemates-ai/gemini-research-mcp#readme","version":"0.15.1","license":null,"protocols":["mcp"],"tags":["ai","deep-research","gemini","google-search","grounding","mcp","model-context-protocol","research"],"pricing":null,"endpoints":[{"url":"pypi:gemini-research-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"research.web","name":"Deep Web Research","confidence":1,"provenance":"derived"},{"slug":"data.web-search","name":"Web Search","confidence":0.75,"provenance":"derived"}],"categories":["data","research"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"gemini-research-mcp","registry":"pypi","observedAt":"2026-11-03T03:26:52.760Z","publishedAt":"2026-06-03T12:09:50.031768Z","latestVersion":"0.15.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"gemini-research-mcp","url":"https://pypi.org/project/gemini-research-mcp/","firstSeenAt":"2026-09-09T16:23:31.909Z","fetchedAt":"2026-11-03T03:25:59.468Z","normalizedAt":"2026-11-03T03:25:59.468Z"}]},"firstSeenAt":"2026-09-09T16:23:31.909Z","updatedAt":"2026-11-03T03:26:52.760Z"}