{
  "name": "GPT Researcher",
  "description": "Autonomous AI research agent that conducts deep, multi-source research and produces long-form reports with inline citations. #1 on Carnegie Mellon's DeepResearchGym benchmark.",
  "url": "https://gptr.dev",
  "version": "0.14.8",
  "provider": {
    "organization": "GPT Researcher",
    "url": "https://github.com/assafelovic/gpt-researcher"
  },
  "documentationUrl": "https://docs.gptr.dev",
  "iconUrl": "https://gptr.dev/gptr-logo.png",
  "contact": {
    "email": "hello@gptr.dev",
    "discord": "https://discord.gg/QgZXvJAccX"
  },
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "stateTransitionHistory": true,
    "extensions": ["mcp", "openapi", "llms.txt"]
  },
  "defaultInputModes": ["text", "application/json"],
  "defaultOutputModes": ["text", "text/markdown", "application/json"],
  "skills": [
    {
      "id": "deep_research",
      "name": "Deep research",
      "description": "Plan, search, validate, and synthesize a long-form research report with inline citations across many sources.",
      "tags": ["research", "report", "citations", "deep"],
      "inputModes": ["text"],
      "outputModes": ["text/markdown", "application/json"],
      "examples": [
        "Research NVIDIA's strategic position in the AI accelerator market over the next 24 months and produce an investor brief with citations.",
        "Write a literature review on retrieval-augmented generation, summarising the major papers from the last 18 months."
      ]
    },
    {
      "id": "quick_search",
      "name": "Quick search",
      "description": "Low-latency multi-engine web search that returns snippets with source URLs.",
      "tags": ["search", "web", "snippets"],
      "inputModes": ["text"],
      "outputModes": ["application/json"],
      "examples": [
        "Find recent reporting on the latest open-source MCP registry."
      ]
    },
    {
      "id": "write_report",
      "name": "Write report",
      "description": "Produce a long-form research report from accumulated research context.",
      "tags": ["report", "writing", "long-form"],
      "inputModes": ["text"],
      "outputModes": ["text/markdown", "application/pdf", "application/vnd.openxmlformats-officedocument.wordprocessingml.document"]
    },
    {
      "id": "get_research_sources",
      "name": "Get research sources",
      "description": "Return the list of source URLs used in the most recent research run.",
      "tags": ["sources", "citations"],
      "inputModes": [],
      "outputModes": ["application/json"]
    }
  ],
  "links": {
    "homepage": "https://gptr.dev",
    "agentView": "https://gptr.dev/agent",
    "docs": "https://docs.gptr.dev",
    "github": "https://github.com/assafelovic/gpt-researcher",
    "mcpServer": "https://github.com/assafelovic/gptr-mcp",
    "openapi": "https://gptr.dev/openapi.json",
    "aiPlugin": "https://gptr.dev/.well-known/ai-plugin.json",
    "mcpDiscovery": "https://gptr.dev/.well-known/mcp.json",
    "llmsTxt": "https://gptr.dev/llms.txt",
    "llmsFullTxt": "https://gptr.dev/llms-full.txt"
  }
}