Model Context Protocol server for ChatGPT integration

This manual is specifically designed for AI engineers who want to master MCP and build powerful, standardized connections between AI systems and external tools.

MCP acts like a universal interface or “bridge” so AI agents can interact with multiple sources reliably

Introduction_to_Model_Context_Protocol

model_context_protocol CRUD API

Model Context Protocol MCP

AI-driven IMAP access with fetch, summarization, and SMTP sending; remote access via ngrok and HTTP protocol.

Production-ready AMQP transport enabling bidirectional MCP communication with JSON-RPC 2.0 payloads.

Production-ready MCP server enabling Claude integration with WhatsApp Cloud API, featuring real-time event streaming, dual transport, and optional PostgreSQL persistence.

Interfaces dSIPRouter from AI assistants to manage groups, mappings, and call data with conversational queries.

Adaptive, user-controlled AI collaboration protocol that preserves context and citations when facing web blocks.

Free, hardware-attested mail platform delivering SMTP/IMAP/CalDAV/CardDAV with real-time inbox alerts and JMAP passthrough.

IMAP-based integration enabling Claude to access mailboxes directly with folders, messages, and drafts.

Bridge that connects xiaozhi's WebSocket endpoint to a Telegram bot, enabling messaging, chat management, and moderation via a lightweight proxy.

WhatsApp messaging integration powered by WhatsMeow; supports text, media, search, attachments, read receipts, and group management with persistent sessions.

Enables LLMs to control serial ports, list ports, read/write data, manage DTR/RTS signals, with configurable baud rates, and JSON/Markdown outputs.

Python-based bridge delivering per-interface adapters with a configurable launcher, tailored for YARP integration and dynamic AI-driven workflows.

WhatsApp data bridge enabling Claude to search, read, and message via local SQLite storage with media support.

A lightweight Arend typechecker client that communicates with LLMs to drive typechecking workflows, wiring Arend-based checks into the MCP protocol for IDEs and CLIs.

Python/TypeScript toolchain lets an AI read unread Gmail messages and draft threaded replies using MCP-style tools.

MCP server for Proxies.sx — 55 tools across 11 categories. Manage mobile/residential proxies, mint x402 USDC sessions, rotate IPs from any MCP-compatible AI agent (Claude Desktop, Cursor, Windsurf). Open source, MIT, npm: @proxies-sx/mcp-server.

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