"Understanding Inference Models" matching MCP servers:

Provides a minimal Microsoft 365 MCP server with fourteen hand-written tools for email, people, and drafts, designed to fit small local models.

Bridges MCP clients with ChatKazi WhatsApp API, enabling AI models to manage WhatsApp sessions, monitor connection states, and send text/media messages.

Enables AI models to interact with messages from various messaging platforms (Mobile, Mail, WhatsApp, LinkedIn, Slack, Twitter, Telegram, Instagram, Messenger) through a standardized interface.

Provides 77 tools for AI agent communication, enabling agents to manage emails, phone messaging, domains, and webhooks. It allows AI models to interact with the Anima platform to automate workflows and administrative tasks across various communication channels.

Bridges AI assistants to a Telegram bot to enable two-way messaging, interactive confirmations, and live status updates. It supports automatic voice transcription via local Whisper models and provides secure, single-user communication for MCP-compatible hosts.

Enables integration with Vapi APIs through function calling via the Model Context Protocol, allowing AI models to access Vapi's capabilities.

Integrates with the Promotexter SMS API to enable sending single SMS messages and performing detailed account balance inquiries. It provides a secure way for models to manage SMS communications and track transaction costs and credits.

Enables AI models to interact with WhatsApp instances through the Wawp API, allowing sending files, checking connection health, and making API requests.

A Model Context Protocol server that enables Large Language Models (like Claude) to interact with Beehiiv publications and posts through standardized tools and the Beehiiv API v2.

A Python server that enables language models like Claude to interact with WhatsApp Business API through GreenAPI, supporting features like sending messages and managing groups.

A Model Context Protocol (MCP) server implementation for the Didlogic API. This server allows Large Language Models (LLMs) to interact with Didlogic services through a standardized interface.

A Model Context Protocol server that connects to Mattermost, allowing AI models to monitor and process messages from specific teams and channels in real-time via SSE or Standard I/O transport modes.

Enables AI models to interact with Twitter, including posting tweets, searching, following users, and chatting with Grok, using cookie or credential authentication.

This server enables AI models to send SMS messages and initiate Text-to-Speech calls programmatically using ClickSend's API with built-in rate limiting and input validation.

Enables interaction with Twitter through a Model Context Protocol, allowing large language models to post tweets, search for tweets, and reply to tweets.

A Model Context Protocol server that enables AI models like Claude to control TeamSpeak servers, allowing users to manage channels, send messages, configure permissions, and perform server administration through natural language commands.

A Node.js implementation that enables Claude to interact with Perplexity AI's language models through Anthropic's Model Context Protocol, providing tools for advanced chat completions and quick queries.

A server that enables AI models like Claude to directly interact with YCloud WhatsApp API through natural language, automatically generating tools from the OpenAPI specification.

A Model Context Protocol server that enables AI models to send emails via simple tool calls, supporting both plain text and HTML formats with JWT authentication.

An MCP-based email tool that enables AI models to access email services through standardized interfaces, allowing AI assistants to perform various email operations like sending emails, reading inboxes, and handling attachments.