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

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables creating Jira issues and listing issue types for a Jira Cloud project using Basic Auth credentials.

Enables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.

Interact with Slack Workspaces over the Slack API. Supports stdio and Streamable HTTP transport. Extended from Anthropic's archived server

A TypeScript-based server that enables Cursor editor to interact with Jira tickets for viewing, creating, commenting on, and updating tickets directly from the editor.

A Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.

Brings live project context into Slack via MCP, enabling developer teams to check service health, recall team decisions, search code, and query project context directly from chat.

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.

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

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.

Enables AI assistants to interact with Slack workspaces by listing channels, posting messages and thread replies, adding emoji reactions, retrieving channel history and thread replies, and inspecting user profiles. Supports both stdio and Streamable HTTP transports for flexible integration.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

An MCP server that enables AI agents to send messages, payloads, and Markdown-formatted content to Slack via Incoming Webhooks.

An MCP server that facilitates interactive software development planning by breaking down projects into manageable tasks, tracking progress, and saving implementation plans.

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 AI assistants to interact with Slack workspaces, including listing channels, posting messages, replying to threads, adding reactions, and retrieving user information.

Gives AI agents full Slack access via session tokens, requiring no app registration, admin approval, or OAuth.

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

MCP server for sending messages to Slack channels and replying in threads, with automatic channel name resolution and support for Claude Desktop and KADI agents.

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.