"Slack" matching MCP servers:

Enables building AI apps in Slack using the Slack MCP server and OpenAI models.

Enables automatic collection and AI analysis of Slack messages to create organized Notion pages, supporting custom analysis directions like meeting minutes, issue extraction, and topic classification.

Enables querying Slack channels and messages, then using Google Gemini to answer questions or summarize conversations.

Enables building AI-powered Slack apps using the Slack MCP server and OpenAI models for automated messaging and canvas creation.

Provides tools for Chain of Consciousness provenance logging and Agent Rating Protocol reputation scoring to establish trust and accountability for AI agents. It enables tamper-evident activity tracking, integrity verification, and bilateral reputation management.

Recruits specialized AI agents into your existing chat sessions, letting you audition, hire, and @mention named teammates with persistent personas and memory across Claude Code, Codex, hermes-agent, and Slack.

Security gateway for MCP tool calls. Sits between your LLM client and MCP servers, enforcing per-tool policies (allow/block/approve/read-only), logging every call, and pausing dangerous operations for human approval in terminal or Slack.

Enables sending real-time and webhook notifications when AI agents complete tasks, with support for Discord, Slack, Teams, Feishu, Ntfy, and custom webhooks.

Extracts structured commitments (who promised what, by when, under conditions) from text transcripts, emails, Slack logs, etc. using Anthropic API.

An AI-powered MCP server that automatically tracks and reports task progress to Slack, enabling hands-free team communication while you code.

MCP server that enables clinical lab staff to predict reagent stockouts, check inventory, create orders, and update inventory canvases directly from Slack.

Enables MCP-compatible assistants to securely access external systems like Slack through permission-scoped, idempotent tools with tenant isolation, delegated OAuth consent, and an immutable audit trail.

Cross-examine text for logical fallacies and manipulation — from the CLI, your browser, an MCP tool, or a Discord/Slack bot, with any LLM. It detects 57 techniques across fallacies, rhetoric, bias, and scam signals.

Demonstrates integrating multiple MCP servers (arithmetic and weather) with a LangGraph ReAct agent using Groq, enabling an LLM to dynamically discover and consume tools across different transport protocols.

Connects to Stack AI workflows, allowing you to run workflows and pass user inputs through MCP-compatible clients.

A Kubernetes diagnostic agent that provides on-demand root cause analysis and human-in-the-loop remediation via Slack, using LLM reasoning with OPA-bounded security controls.

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

An AI-powered conversational assistant that builds detailed user investment profiles through a guided four-step elicitation process. It leverages LangChain and OpenAI to handle real-time dialogues regarding investment goals, timelines, and risk tolerance.

An MCP server that generates a personalized 'aura card' with a reading, color palette, and artwork based on a user's description and optional photo, costing 0.5 USDT per call via x402.

MCP server for the DAG Studio causal-inference engine, enabling AI agents to construct, analyze, and validate causal directed acyclic graphs (DAGs) through tools for analysis, data simulation, and code generation.