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sid12super

MCP-Deep-Researcher

by sid12super

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_API_KEYYesOpenAI API key
TAVILY_API_KEYYesTavily API key

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
deep_researcher_researchA

Run a multi-agent research pipeline that decomposes a query into sub-questions, searches the web in parallel via Tavily, scores source credibility, and synthesizes a comprehensive markdown report with findings, knowledge gaps, and cited sources.

The pipeline has three stages:
  1. Planner — breaks the query into 3-5 targeted sub-questions (GPT-4o)
  2. Searcher — runs parallel Tavily web searches with credibility scoring
  3. Synthesizer — produces a structured markdown report (GPT-4o)

Results are cached for 24 hours. Identical (query + context + depth) combinations
return instantly on subsequent calls.

Args:
    params (ResearchInput): Validated input containing:
        - query (str): The research question (3-2000 chars)
        - search_depth (SearchDepth): 'basic' for speed or 'advanced' for depth
        - conversation_context (str): Prior research for multi-turn follow-ups

Returns:
    str: Markdown research report with executive summary, key findings per
         sub-question, knowledge gaps, and numbered source citations with
         credibility tags (high/medium/unverified).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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