GPT Researcher MCP Server

MCP server wrapper around GPT Researcher that exposes deep research, quick search, report writing, and source retrieval as MCP tools. Supports STDIO, SSE, and Streamable HTTP transports for integration with Claude Desktop and other MCP clients.

Evaluated Mar 06, 2026 (0d ago) vunknown
Homepage ↗ Repo ↗ AI & Machine Learning deep-research mcp autonomous-agent tavily python claude-desktop sse stdio
⚙ Agent Friendliness
70
/ 100
Can an agent use this?
🔒 Security
72
/ 100
Is it safe for agents?
⚡ Reliability
60
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
72
Error Messages
50
Auth Simplicity
75
Rate Limits
65

🔒 Security

TLS Enforcement
88
Auth Strength
70
Scope Granularity
62
Dep. Hygiene
75
Secret Handling
65

GPT Researcher MCP wrapper. Requires LLM + search API keys. Web research may surface untrusted content — validate before acting on findings.

⚡ Reliability

Uptime/SLA
62
Version Stability
62
Breaking Changes
58
Error Recovery
60
AF Security Reliability

Best When

You want deep, multi-source research accessible as MCP tools from Claude Desktop or other MCP-compatible clients, and can tolerate 30-40 second response times.

Avoid When

You need instant search results, don't use MCP-compatible clients, or want to avoid managing API keys for OpenAI and Tavily.

Use Cases

  • Deep research from within Claude Desktop or other MCP clients
  • Automated report generation with cited sources via MCP protocol
  • Investment and market research integrated into AI workflows
  • n8n workflow automation with deep research capabilities
  • Source validation and fact-checking within agent pipelines

Not For

  • Sub-second search results - deep research takes ~30-40 seconds
  • Environments without Python 3.11+
  • Use cases that don't need MCP protocol (use gpt-researcher directly)
  • Offline or air-gapped environments

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

Requires OPENAI_API_KEY and TAVILY_API_KEY passed explicitly in MCP config (not from shell env). Supports alternative GPTR-compatible retrievers (Bing, Google).

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

MIT licensed. Operational costs depend on OpenAI and Tavily API usage.

Agent Metadata

Pagination
none
Idempotent
No
Retry Guidance
Not documented

Known Gotchas

  • API keys must be passed explicitly in Claude Desktop config, not from shell env or .env
  • Deep research takes 30-40 seconds per query
  • Python 3.11+ required
  • 323 stars - relatively small community compared to parent project
  • Docker recommended for production to avoid dependency issues

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for GPT Researcher MCP Server.

$99

Scores are editorial opinions as of 2026-03-06.

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Packages Evaluated
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Need Evaluation
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