gpt-researcher — MCP Server by assafelovic

by assafelovic · MCP Server · ★ 27.4k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About gpt-researcher

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Quick Facts

Stars27,363
Forks3,677
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score57.658/100
Open Issues203
Last Updated2026-05-28
Created2023-05-12
Platformsbrowser, mcp, python
Est. Tokens~2828k

Compatible Skills

These tools work well together with gpt-researcher for enhanced workflows:

  • local-deep-research — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • miroflow — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • OpenAI_Agent_Swarm — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • af-deep-research — semantic(0.40)+complementary+same_lang+shared_platform (49%)

gpt-researcher alternative? Top 6 similar tools

Looking for a gpt-researcher alternative? If you're comparing gpt-researcher with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is gpt-researcher?

gpt-researcher is An autonomous agent that conducts deep research on any data using any LLM providers. It is categorized as a MCP Server with 27.4k GitHub stars.

What programming language is gpt-researcher written in?

gpt-researcher is primarily written in Python. It covers topics such as agent, ai, automation.

How do I install or use gpt-researcher?

You can find installation instructions and usage details in the gpt-researcher GitHub repository at github.com/assafelovic/gpt-researcher. The project has 27.4k stars and 3677 forks, indicating an active community.

What license does gpt-researcher use?

gpt-researcher is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to gpt-researcher?

The top alternatives to gpt-researcher on Agent Skills Hub include Scrapling, cursor-talk-to-figma-mcp, TrendRadar. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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