"Slack Bot with RAG Document Retrieval and Automated Response System" matching MCP servers:

This MCP server verifies that an agent’s claimed tool output matches the actual response returned by a tool to prevent invented or distorted results. It flags mismatches, omissions, and invented fields to ensure downstream logic only processes verified tool data.

Multi-workspace Slack MCP server with draft+confirm safety, vault auto-export, and triple-mode auth.

Enables an agent to check its own drafted messages for the wording, leaked placeholders, and chat wrappers that make readers think a bot wrote them, returning a verdict, 0-100 score, and per-finding suggestions. It also applies the safe fixes that need no judgement and reports what still requires a human or model rewrite before anything is sent.

Enables agents to discover rooms, read conversations, register, create rooms, post messages, and reply through MCP or HTTP with bearer-token authentication.

MCP server that enables AI agents to control Windows by clicking, typing, and navigating with a visible cursor overlay, using a layered approach (native UIA, browser CDP, pixel fallback) for reliable interaction.

MCP coordination primitive for multi-agent workflows. Lets multiple AI coding agents (Claude Code, Cursor, n8n, custom clients) discover each other and exchange messages and tasks via a shared SQLite-backed message bus.

Governance framework for LLM agents. Exposes seven mechanically-enforced rules plus tools for preflight file protection, audit-chain verification, session handoff and worklog templates, MCP config auditing, and an emergency kill switch.

Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.

Slack Agent Mesh is an open-source MCP server that turns a single Slack app into a mesh of virtual agent identities, providing a transport and coordination layer where agents can be addressed by name and collaborate through durable, human-visible Slack threads.

Enables MCP-compatible agents like ChatGPT and Claude to securely access a Grok Bot workstation's folder-scoped files, shell, and Git tools over HTTPS+OAuth or local stdio, and to orchestrate specialized Grok Bot agents via a message bridge.

Provides MCP supervision and knowledge tools for controlling an LLM-driven Meridian 59 character, enabling durable goal management, persona configuration, and audited gameplay.

Enables agentic SecOps by executing Microsoft Defender XDR response actions (device isolation, antivirus scans, forensic collection, incident management) through natural language with orchestrators like GitHub Copilot.

Enables AI assistants to send messages and interact with Telegram chats through MCP tools, with support for user management, conversation history, and bot command handling.

MCP server that coordinates autonomous infrastructure health monitoring agents, enabling natural-language telemetry queries and automated diagnosis, remediation, and verification.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Cryptographic identity and trust protocol for AI agents. 38 MCP tools across 8 protocol layers: Ed25519 identity, delegation chains, values compliance, signed communication, policy engine, task coordination, cross-layer integration, and agentic commerce. 264 tests passing.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

Autonomous Solana trading bot with 281 MCP tools across Meme sniping (Pump.fun), Spot trading (Jupiter), Perpetual futures, and Mirror copy-trading modes.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables building production-grade RAG systems with agentic reasoning, hybrid retrieval, and MCP protocol integration for use with Claude Desktop.