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Google Maps
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like Google Maps. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
Postman Minimal
Empower AI agents to manage Postman with natural language for smarter API workflows. Postman MCP Server bridges Postman and AI tools, allowing agents to organize collections, automate workspace tasks, synchronize code, generate specs, and streamline collaboration. With flexible tool sets for both basic and advanced users, it supports seamless integration into popular editors and AI platforms. Ideal for developers seeking efficient API automation using AI-powered assistance, it also includes support for EU regions. Discover faster, smarter ways to handle APIs and boost productivity across your Postman environment.
Intercom
Intercom hosts a remote MCP server that follows the authenticated remote MCP specification. This server handles requests from AI tools and provides access to Intercom data through a secure interface. When an AI tool or application needs to access Intercom data: The tool connects to Intercom's MCP server; Authentication verifies the user's permissions; The tool can then access relevant Intercom data and functionality; The connection remains live to receive updates as needed.
Heroku
This new remote server is an expansion of our earlier stdio-based MCP server and comes with secure OAuth authentication. It’s designed to provide a secure, scalable, and incredibly simple way for agents to interact with the Heroku platform and use tools to perform actions such as creating a Heroku app from your favorite agents such as Claude, Agentforce, or Cursor. With Agentforce 3.0 announcing native support for MCP, you can bring Heroku Remote MCP Server to Agentforce.
JetBrains IDE Index
Supercharge AI coding assistants with rich code intelligence from JetBrains IDEs. IDE Index MCP Server unlocks advanced project-wide indexing, multi-language navigation, and safe refactoring tools for AI agents, enabling deep semantic understanding and smart symbol search across your codebase. Benefit from universal features like reference finding, code diagnostics, and cross-language support—all tested on major JetBrains IDEs. Designed for reliability and seamless workflow integration, this plugin brings the power of modern IDE features directly to AI-assisted development.
Google BigQuery
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like BigQuery. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
Spec-Driven Development
Transforms development from idea to implementation through structured phases including goal collection, EARS format requirements gathering, technical design documentation, task planning, and systematic code execution with template-based guidance and organized specification documents.
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