INDIVIDUAL MCP TOOL

list_tools_in_full_mcp_server

Return the catalogue of tools exposed by the real gptr-mcp Model Context Protocol server (deep_research, quick_search, write_report, get_research_sources, get_research_context).

gptr.devnone authenticationAvailability not checked

LIVE ENDPOINT

https://gptr.dev/api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for list_tools_in_full_mcp_server and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

gptr.dev

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.gptr-mcp-discovery-bridge]
url = "https://gptr.dev/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "gptr-mcp-discovery-bridge": {
      "type": "http",
      "url": "https://gptr.dev/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: gptr-mcp-discovery-bridge
Remote MCP URL: https://gptr.dev/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "gptr-mcp-discovery-bridge": {
      "url": "https://gptr.dev/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "gptr-mcp-discovery-bridge": {
      "type": "http",
      "url": "https://gptr.dev/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "gptr-mcp-discovery-bridge",
  "transport": "streamable-http",
  "url": "https://gptr.dev/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

get_full_mcp_server — READ FIRST.
get_overview — Return a structured overview of GPT Researcher: what it is, when to use it, supported LLM providers and retrievers, and how it compares to Perplexity / OpenAI Deep Research.
get_quickstart — Return install / quickstart instructions for one of the supported runtimes (python, docker, mcp).
get_discovery_endpoints — Return the canonical agent-discovery URLs published by gptr.dev: llms.txt, llms-full.txt, openapi.json, ai-plugin.json, agent-card.json, mcp.json, agent-skills/index.json, sitemap.xml, schemamap.xml, pricing.md.
get_pricing — Return the GPT Researcher pricing summary.