"Slack" matching MCP servers:

An MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.

Enables structured team communication for Claude Code agents through Slack-like channels and direct messages. Supports project isolation, subscription management, and agent notes for sophisticated multi-agent collaboration workflows.

A server implementing Model Context Protocol that enables AI assistants to interact with Slack API through a standardized interface, providing tools for messaging, channel management, user information retrieval, and more.

Enables interaction with Slack workspaces through comprehensive channel management, messaging, user management, file uploads, and Block Kit formatting. Features secure credential storage via macOS Keychain and supports all major Slack operations including reactions and workspace information.

Google Chat MCP server that lets AI assistants like Claude and Cursor participate directly in team conversations - search messages, help teammates, share files, and coordinate across chat platforms.

re-backlog idea management with decision tracking, signal aggregation, and RICE scoring. Captures product feedback from Slack, Teams, Discord, and GitHub

Provides persistent memory management for AI agents with 14 tools, including semantic search, context synthesis, auto-context middleware, and write-back actions to external services like Slack.

Enables querying and managing personal/team internal knowledge from sources like Slack, Gmail, and Drive through semantic search and retrieval.

Search your company's connected knowledge from any AI tool that speaks the Model Context Protocol. Supports querying across sources like Drive, SharePoint, Confluence, Slack, and Notion with permission filtering.

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.

Self-improving documentation engine that ingests Slack and GitHub PRs to detect knowledge gaps and improve documentation automatically.

An MCP server that provides a unified hybrid-search interface over Slack, wikis, code, and databases, enabling agents and humans to query scattered knowledge with exact and semantic search.

Serves private Slack archives through read-only MCP tools that combine BM25 lexical retrieval, local vector similarity, and reciprocal rank fusion. Enables agents to search messages, fetch individual posts, expand threads, and discover archived workspaces, channels, and coverage with scope and time filters.

Enables semantic search and retrieval of information from personal and team knowledge repositories including Slack, Gmail, Dropbox, Google Drive, and uploaded files. Allows storing new information for future recall through AI-powered search.

Enables semantic search and retrieval of personal and team knowledge from connected sources like Slack, Gmail, Google Drive, and Dropbox, with the ability to save new information for future recall.

Enables interaction with Rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like Slack, Gmail, and Google Drive. It supports semantic search and agentic queries to access and manage personal or team internal knowledge.

A read-only Model Context Protocol server that exposes a semantic knowledge base to AI agents via 27 tools. It enables querying of documents and data integrated from sources like Notion, SharePoint, HubSpot, and Slack.

Enables an event-driven operations agent to query internal SQL, GitHub, Slack, Jira, documentation, and Kubernetes telemetry through 28 RBAC-gated MCP tools, with shared memory for playbook retrieval and incident workflows.

DevsContext is an MCP server that provides AI coding agents with synthesized engineering context—requirements, decisions, architecture, and standards—from tools like Jira and Slack. It fetches and synthesizes relevant information on demand to help agents work on tasks correctly.

Stigmergy is an MCP server that captures knowledge from Slack and CLI into a markdown git repository. It answers questions with verifiable citations and refuses when it cannot support an answer.