"Exploring Gemini Services or Tools That Don’t Require an API Key" matching MCP servers:

Enables AI agents to analyze whether they should send an email, evaluating passive aggression and regret probability with a recommendation heavily weighted toward no.

A TypeScript implementation of a Model Context Protocol server that integrates with Google's Gemini 2.0 Flash model, enabling Claude Desktop users to interact with Gemini through natural language conversations.

MCP gateway for GREEN-API WhatsApp that lets AI agents send messages, manage instances, and receive notifications via WhatsApp using the Model Context Protocol.

Enables posting, engaging, sending DMs, and reading your own account through the X API v2 with your developer App credentials, while public search remains on Grok's built-in tools.

Enables querying Slack channels and messages, then using Google Gemini to answer questions or summarize conversations.

An auto-generated Multi-Agent Conversation Protocol Server that enables interaction with the IX-API (Internet Exchange API) through natural language, allowing for management of interconnection services in data centers.

The LinkedIn API and MCP server for AI agents: search, connect, message and enrich on accounts you own, with limits enforced on our server. 20,000+ LinkedIn accounts run on this stack, and under 1% of them have ever been restricted.

MCP server that wraps the Evolution API (WhatsApp) as semantic tools for LLM agents, enabling messaging, chat management, group operations, and instance control via natural language.

Enables multi-account posting, replying, threading, deletes and image/GIF/video uploads through the official X API v2, plus likes, reposts, bookmarks, follows, timelines, search, DMs, Lists and trends. It runs locally over stdio so OAuth tokens and refresh stay on the user's own machine.

Exposes the Evolution API v2 (WhatsApp) as 121 tools for MCP clients, enabling management of instances, messages, chats, groups, profiles, labels, webhooks, and integrations.

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically.

An MCP server that utilizes Google's Gemini Flash 2 model to generate AI-driven email subjects and detailed reasoning processes. It enables users to send emails via SMTP with dynamic content and save complex brainstorming sessions to local files.

Enables WhatsApp messaging and management through the Evolution API, supporting sending texts, checking numbers, listing contacts and groups, and more.

Ultimate MCP server for Telegram Bot API — 169 methods, full v9.6 coverage, meta-mode, rate limiting, and circuit breaker, enabling AI to control Telegram bots with natural language.

MCP server for the Stashcat messenger API. Enables AI assistants to read and send messages, manage channels, conversations, files, polls, and more.

A Model Context Protocol server that enables Claude to interact with WhatsApp through the Evolution API, allowing for message sending, contact management, group operations, and WhatsApp instance administration.

Experimental server that implements the Model Context Protocol (MCP) for Nylas API, providing resources, tools, and prompts to help developers integrate email, calendar, and contacts functionality with AI applications.

Enables to interact with Nylas API for email, calendar, and contacts via MCP, providing documentation, code samples, and code generation tools.

Provides LinkedIn automation via a real browser session using your own cookie, enabling profile, company, job, and post search and reading, plus sending messages and connection requests with rate limiting.

Enables Claude and other MCP clients to read feeds, search, browse full comment trees, and look up users, while performing guarded write actions like posting, replying, editing, voting, saving, and joining or leaving subreddits. Runs over stdio or HTTP with confirmation required for every write, dry-run previews, rate spacing, and hourly caps.