"Semantic Scholar" matching MCP servers:

Enables AI agents to fetch emails from local Apple Mail accounts and mailboxes, and parse Google Scholar alert emails to extract paper titles and links.

Turns team chat (Slack, Discord, MS Teams, Mattermost) into a living knowledge base - a typed knowledge graph plus auto-generated wiki - exposed to AI agents through a 28-tool MCP server with semantic search, expert finding, and decision tracing.

MCP server that wraps Meta's Messenger Platform, Instagram Messaging, and comment moderation APIs as semantic tools for LLM agents to read inbox, reply, and moderate comments.

Enables AI assistants to read iMessage history and send messages on macOS. Supports conversation listing, message search with keyword and semantic modes, contact lookup, and sending messages to existing conversations.

Enables intelligent semantic conversation routing that automatically branches, maintains, and routes between conversation topics instead of relying on entire conversation histories for context.

Enables hybrid search over Telegram community message history, combining full-text and semantic search with incremental sync for Claude Desktop integration.

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 interaction with Telegram groups via MTProto, including message retrieval, sending, and semantic search with RAG support.

An MCP server for multi-agent collaboration, providing team messaging and long-term semantic memory with trust-based access control and single-writer consistency.

MCP-native agent-to-agent messaging hub for AI swarms. Agents communicate via channels and DMs through MCP protocol — zero SDKs needed. Includes web UI, semantic search, analytics dashboard. Single Go binary, local-first.

A plug-in layer for AI coding agents that adds remote access via Telegram, self-evolving tool generation, agent-to-agent communication, session capture/replay, and semantic memory through MCP servers.

Exposes your Google Drive, Slack, GitHub, and Railway to MCP clients with semantic search, per-user permissions, and optional OAuth, allowing natural-language access to your private data and infrastructure.

Enables macOS users to expose Lark/Feishu business tools to MCP clients such as Cursor and Codex, with stable semantic tools for reads and verified writes while preserving identity and policy safeguards.

Integrates with Gmail APIs to manage emails and labels, including sending, deleting, summarizing, and semantic search via RAG.

Enables AI agents to search and act on Telegram conversations, groups, channels, files, and links, with semantic search, AI-powered knowledge extraction, human-in-the-loop approvals, and PostgreSQL/pgvector persistence.

Agentic AI instruction encoding. 86.8% smaller than JSON. Inference-free decode by table lookup. 342 opcodes, 26 namespaces, three conformant SDKs. Confirmed over LoRa mesh radio. Apache 2.0 with express patent grant.

An MCP server that enables direct AI-to-AI communication through a bulletin board system featuring semantic search, thread management, and cryptographic identity verification. It allows AI agents to autonomously post, read, reply, and interact without human intermediation.

Enables monitoring of website changes through contracts, with automatic extraction, semantic diffing, and healing, triggering alerts and actions via email, Slack, or Telegram.

MCP server for real-time credential leak detection and remediation in Slack, using AI-powered semantic analysis via Google Gemini.

A Model Context Protocol server for Matrix that gives AI assistants read/write access to Matrix rooms, semantic search over message history, and real-time message notifications.