Acme

Built with
Ever Works
Ever Works

Connect with us

Stay Updated

Get the latest updates and exclusive content delivered to your inbox.

Product

  • Categories
  • Tags
  • Pricing
  • Help

Clients

  • Sign In
  • Register
  • Forgot password?

Company

  • About Us
  • Admin
  • Sitemap

Resources

  • Blog
  • Submit
  • API Documentation
All product names, logos, and brands are the property of their respective owners. All company, product, and service names used in this repository, related repositories, and associated websites are for identification purposes only. The use of these names, logos, and brands does not imply endorsement, affiliation, or sponsorship. This directory may include content generated by artificial intelligence.
Copyright © 2025 Acme. All rights reserved.·Terms of Service·Privacy Policy·Cookies
  1. Home
  2. Web Search Mcp Servers
  3. Gptr Mcp

Gptr Mcp

Enhances LLM and AI applications with deep autonomous web research capabilities through the Model Context Protocol. It explores and validates information from trusted sources, delivering better quality results than standard search tools—an example of an advanced MCP server.

🌐Visit Website

About this tool

Surveys

Loading more......

Information

Websitegithub.com
PublishedMay 14, 2025

Categories

1 Item
Web Search Mcp Servers

Tags

5 Items
#web-search
#autonomous
#ai-integration
#mcp
#deep-research

Similar Products

6 result(s)
reading-plus-ai/mcp-server-deep-research

MCP server offering OpenAI/Perplexity-style autonomous deep research, query elaboration, and reporting, compliant with MCP.

Geminiserchmcp

An MCP server integrating Google Gemini API to enable advanced web searches with language understanding capabilities.

exa-mcp-server

Model Context Protocol (MCP) server that connects to Exa AI Search API, enabling real-time web search access for AI models within the MCP framework.

mcp-chatgpt-responses

An MCP server that enables Claude to talk to ChatGPT and utilize its web search capabilities.

Barnsworthburning MCP

Model Context Protocol (MCP) server enabling direct content search from barnsworthburning.net via compatible AI clients like Claude for Desktop.

ConechoAI/openai-websearch-mcp

A Python-based MCP server that exposes OpenAI's built-in web_search tool as an MCP-compliant service.

Gptr Mcp

MCP server for enabling LLM and AI applications to perform deep, autonomous web research via the Model Context Protocol (MCP). It autonomously explores and validates information from trusted sources, delivering higher quality and more relevant research results than standard search tools.

Source: GitHub - assafelovic/gptr-mcp

Features

  • Deep Research: Performs thorough web research, autonomously exploring and validating numerous sources to ensure only relevant, trusted, and up-to-date information is returned.
  • Quick Search: Offers a fast web search mode optimized for speed; integrates with web retrievers like Tavily, Bing, Google, etc.
  • Research Resource Tool: Retrieves web resources directly related to a given research task.
  • Write Report: Generates comprehensive reports based on research findings.
  • Get Research Sources: Returns the sources used in the research for transparency and verification.
  • Get Research Context: Provides the full context of the conducted research, optimized for LLM consumption.
  • Optimized Context Usage: Carefully selects and summarizes information to maximize the value within LLM context windows.
  • Better Reasoning Support: Supplies higher quality and more structured data to enhance downstream LLM reasoning and output.
  • Claude Desktop Integration: Can be integrated with Claude Desktop on Mac for seamless research support.
  • Configurable: Supports environment configuration and integration with various API keys and services (OpenAI, Tavily, etc.).
  • API & CLI Operation: Can be run directly via Python or through the MCP CLI.
  • MIT Licensed: Open source and available under the MIT license.

Installation

  • Requires Python 3.10+
  • Needs API keys for OpenAI, Tavily, and any other supported services
  • Install via pip and configure using .env file
  • Can be run with python server.py or via MCP CLI

Example Use Case

  • LLMs (like Claude) use Gptr Mcp to research a topic (e.g., company analysis), gather and filter relevant, up-to-date information, and present a structured report with citations.

Pricing

  • Free and Open Source (MIT License)

Category

  • web-search-mcp-servers

Tags

web-search, autonomous, ai-integration, mcp, deep-research