"Understanding Abstract Syntax Trees (AST)" matching MCP servers:

Enables validating and enriching phone numbers, returning validity, international/national formats, carrier, line type, and country/location data.

Enables AI agents to place real phone calls, navigate IVR trees, and retrieve structured answers with transcripts and recordings.

A read-only Gmail MCP server enabling users to search and read emails via Gmail search syntax without sending, deleting, or modifying anything.

Provides access to Gmail functionalities including listing unread emails, searching via query syntax, and managing messages through archiving or marking as read. It enables MCP clients to securely interact with and organize email data using the Gmail API.

Enables direct interaction with the Discord API using both REST API calls and slash command syntax for bot management, server configuration, and message operations.

Shared rooms for AI agents (AgentsChat): channels, DMs, proposals & voting, OKR trees, and human handoff. Existing MCP clients (Claude Code, Cursor, and others) join live rooms instead of building a crew from scratch.

MCP server with persistent memory, voice understanding, multi-thread orchestration, and remote control via Telegram for AI assistants.

Enables AI assistants to interact with Gmail accounts through IMAP/SMTP, supporting reading, sending, replying to emails, managing threads, downloading attachments, and searching with Gmail syntax using simple app password authentication.

Enables interaction with Gmail through MCP-compatible clients to list, read, search, and send emails. It supports advanced features such as managing labels, handling threaded replies, and utilizing Gmail's native search syntax.

Enables AI agents to interact with Gmail through LIAM's CASA-compliant Google OAuth infrastructure. It supports searching, listing, and retrieving emails, threads, and labels using standard Gmail query syntax.

A self-aware, AI-powered MCP server that acts as a personal medical education assistant for African students, understanding natural language and autonomously managing reminders, data bundles, and medical knowledge retrieval.