
Gptr Mcp is an MCP server that provides autonomous deep web research capabilities for LLM applications through tools like `deep_research`, `quick_search`, `write_report`, and source retrieval functions. It solves the problem of standard web search tools returning raw, unfiltered results by autonomously exploring and validating multiple sources to deliver focused, relevant, and up-to-date information while optimizing context window usage. The server integrates with Claude Desktop and supports multiple web retrievers including Tavily, Bing, and Google.
Public tool metadata for what this MCP can expose to an agent.
deep_researchPerforms deep web research on a topic, finding the most reliable and relevant informationPerforms deep web research on a topic, finding the most reliable and relevant information
No parameter schema in public metadata yet.
quick_searchPerforms a fast web search optimized for speed over quality, returning search results with snippets.Performs a fast web search optimized for speed over quality, returning search results with snippets.
No parameter schema in public metadata yet.
write_reportGenerate a report based on research resultsGenerate a report based on research results
No parameter schema in public metadata yet.
get_research_sourcesGet the sources used in the researchGet the sources used in the research
No parameter schema in public metadata yet.
get_research_contextGet the full context of the researchGet the full context of the research
No parameter schema in public metadata yet.
Sponsors
While LLM apps can access web search tools with MCP, GPT Researcher MCP delivers deep research results. Standard search tools return raw results requiring manual filtering, often containing irrelevant sources and wasting context window space.
GPT Researcher autonomously explores and validates numerous sources, focusing only on relevant, trusted and up-to-date information. Though slightly slower than standard search (~30 seconds wait), it delivers: