"A server for software engineers that integrates with Jira and Slack" matching MCP servers:

Enables AI agents to interact with Slack through 20 specialized tools and resources for managing channels, messages, users, and files. It features built-in rate limit handling, safety controls for message sending, and full support for Slack Block Kit formatting.

A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.

A Model Context Protocol server that integrates with Slack API, allowing users to send messages, view channel history, manage channels, send direct messages, and retrieve user lists from Slack workspaces.

Integrates AI assistants with Slack workspaces using OAuth 2.0 authenticated user tokens for secure, multi-functional interaction. It enables comprehensive operations including channel management, message searching, file handling, and reaction management through natural language.

A Model Context Protocol server that enables AI assistants like Claude to interact with Jira, allowing for project management tasks such as listing projects, searching issues, creating tickets, and managing sprints through natural language queries.

Enables interaction with Slack workspaces to manage channels, post messages, add reactions, view message history and threads, and retrieve user profiles through the Model Context Protocol.

A TypeScript-based server that enables interaction with Jira, providing tools to execute JQL queries, manage tickets, list projects and statuses through natural language.

A connector enabling Claude Desktop or any MCP client to interact with Slack workspaces to post messages and query user lists.

Enables comprehensive interaction with Slack workspaces, allowing users to manage channels, send messages, and search history. It supports managing reminders, pins, reactions, and user information through the Model Context Protocol.

MCP Server for the Slack API, enabling Claude to interact with Slack workspaces.

An AWS-native MCP server that posts to Slack (post_to_slack, post_file_to_slack) via an Amazon Bedrock AgentCore Gateway.

This MCP server provides integration with the Slack API via HTTP transport, allowing for channel management and message operations. It enables users to list channels, send or edit messages, search message history, and retrieve user information through standardized tools.

Enables interaction with Slack workspaces through comprehensive integration capabilities. Supports channel management, messaging, thread replies, reactions, and message history retrieval through natural language commands.

A comprehensive Slack integration server that enables sending messages, managing channels, uploading files, and running Pomodoro timers through FastMCP v2.

MCP to Connect JIRA by NodeJs

A Model Context Protocol server that enables LLMs to interact with Slack workspaces through OAuth 2.0 authentication. It provides tools for listing channels and posting messages while supporting secure token persistence and dynamic client registration.

Enables AI assistants to interact with Slack workspaces through secure OAuth 2.0 authentication. Supports posting messages, reading channel history, and listing channels across multiple workspaces with production-ready security features.

Enables AI assistants to interact with Slack workspaces through natural language, supporting channel management, message operations, user profiles, reactions, and threaded conversations.

Enables bidirectional communication between MCP clients and Slack, allowing users to receive task notifications and respond to AI inquiries directly within Slack threads. It supports various urgency levels, message threading, and interactive question-and-answer workflows.

Enables AI assistants to interact with Slack workspaces through comprehensive channel management, messaging, direct messages, search functionality, and user management capabilities.