For an MCP server for integrating Slack tools, the strongest matches are qwibitai/nanoclaw (Nanoclaw is an agent orchestrator that functions as an), modelcontextprotocol/servers (This repository serves as the official collection of reference) and chatmcp/mcp-server-chatsum (This server provides the necessary MCP tools to query). aipotheosis-labs/aci is also worth a look. Each is ranked by relevance to your query, popularity and recent activity.
Wir kuratieren Open-Source GitHub Repositories passend zu „best slack mcp servers“. Die Ergebnisse sind nach Relevanz für deine Suche sortiert — nutze die Filter unten oder verfeinere die Suche mit KI.
Nanoclaw is an LLM agent orchestrator and multi-platform chat gateway designed to deploy and manage isolated AI agents. It provides a containerized runtime that executes agents within sandboxed Linux containers, ensuring filesystem and state isolation through dedicated workspaces and host bind-mounts. The project distinguishes itself through a unified routing pipeline that connects agents to diverse messaging platforms, including WhatsApp, Discord, Slack, Telegram, Signal, and iMessage. It integrates the Model Context Protocol to extend agent capabilities via managed external data and functio
Nanoclaw is an agent orchestrator that functions as an MCP server to bridge LLMs with various messaging platforms, including Slack, by providing the necessary tool exposure and integration logic for AI-driven workflows.
The Model Context Protocol is a standardized communication framework designed to connect language models to external data sources, functional tools, and interactive user interfaces. It provides a vendor-neutral interface layer that enables AI hosts to discover and execute capabilities across heterogeneous service environments, using a JSON-RPC based messaging standard to facilitate bidirectional communication between clients and servers. The protocol distinguishes itself through a robust capability-based handshake that negotiates feature sets during session initialization, ensuring compatibil
This repository serves as the official collection of reference implementations for the Model Context Protocol, including a dedicated Slack server that provides the required message retrieval and interaction capabilities for AI agents.
This project is a Model Context Protocol server that bridges messaging platforms with AI assistants. It functions as middleware to facilitate the secure exchange of chat data, enabling external AI agents to access, search, and analyze historical conversation logs through a standardized interface. The server distinguishes itself by automating the ingestion and archiving of messaging streams into a local relational database. It supports secure, non-manual session authentication using QR codes, allowing for persistent data collection without continuous human oversight. Once archived, the system
This server provides the necessary MCP tools to query and summarize chat messages, serving as a functional integration for connecting LLM workflows to chat platforms.
ACI is a tool-calling platform and centralized system for managing and executing external service operations and custom scripts for agentic workflows. It functions as a unified Model Context Protocol server that enables AI agents and IDEs to dynamically discover and execute diverse toolsets. The platform distinguishes itself through a natural language capability index and intent matching to search for available tools based on task requirements. It provides an external service authenticator and account linking via OAuth-based credential management to permit secure tool execution on behalf of u
This repository is a Model Context Protocol server designed to orchestrate and execute external service tools for AI agents, providing the necessary infrastructure to integrate Slack or other APIs into your LLM workflows.