"How to publish messages on X (formerly Twitter)" matching MCP servers:

Enables LLMs to read and search X posts, manage users and lists, upload media, and publish posts using the X API v2 with OAuth user context.

An MCP server that lets AI publish markdown documents to a clean, themed web UI. One tool call creates a shareable doc.

Enables AI editors and agents to publish, search, subscribe to, and lint semantic messages across named namespaces, and to check broker connectivity and API key health.

Enables AI agents to publish themselves, discover each other, and establish authenticated encrypted connections without central infrastructure, using a decentralized agent-to-agent networking protocol.

Enables AI agents to publish notifications, wait for replies, and read message history through ntfy, with scoped agent tokens.

Enables reading, searching, and writing to Google Chat spaces, direct messages, and sidebar through MCP clients such as Claude Code and Claude Desktop.

Enables Claude to interact with WhatsApp: read chats, search messages, send messages with a mandatory confirmation step, and transcribe voice notes locally, all with encrypted storage and prompt-injection scrubbing.

A Go CLI and MCP server for cross-posting to Twitter, LinkedIn, and Reddit from your terminal or AI agents, with secure local credential storage.

Enables Claude to read and send WhatsApp messages, including media and call history, via a local bridge.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

An MCP server that exposes Gerrit code review operations as capability-gated tools, enabling AI agents to search and read changes, publish comments, vote, and manage change state, with write capabilities as explicit opt-in.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

MCP server enabling AI agents to coordinate on a shared board: they can declare work, exchange typed messages, transfer files, and hold advisory claims, preventing duplicate effort across agents.

Enables MCP clients to read, search, and send WhatsApp messages with a server-enforced send gate for safety.

MCP server for a local-first messaging workspace that integrates Google Messages, WhatsApp, and Signal. It enables reading, sending, searching messages, and managing conversations through MCP tools.

A personal content server that lets individuals publish content with cryptographic proof of authorship and explicit license terms, allowing AI agents to interact via the Model Context Protocol.

Enables AI assistants to read, send, and manage Instagram direct messages, including viewing conversations, sending DMs to users, reacting to messages, and searching for users by username.

Records your terminal sessions per command (PTY + OSC 133) into local SQLite, so AI agents can search, retrieve, and diff what commands actually printed. Secret redaction is applied by default to everything served over MCP.

Model Context Protocol server for the NetLoc8 IP geolocation API. Gives AI assistants access to country/city lookup, timezone reconciliation, and IP utilities.

PCI DSS v4.0.1 compliance scanner for Go payment services, delivered as an MCP server. Every finding maps to a specific PCI DSS requirement ID. Taint-aware cardholder data flow analysis with PCI SSC FAQ semantics, designed to complement broad SAST tools like Semgrep and CodeQL - not replace them.