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

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.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.

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.

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.

Enables Slack integration with tools to list channels, read messages, and post messages using a bot token.

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.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

MCP server for Slack workspace integration, exposing 40+ Slack operations as tools for Claude Desktop and providing a clean async Python API.

Enables an AI assistant to act as the user in Slack through a user OAuth token, covering messaging and threads, search, users, channels, user groups and reactions, plus scheduled messages, canvases and Slack Lists. It also supports flexible channel addressing by ID, #name or @user, and matches existing tool names and parameters for seamless integration with established prompts and permission rules.

Provides capabilities for searching Jira issues using JQL and retrieving detailed issue information.

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

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.

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

Read-only MCP server for Slack with OAuth 2.1 authentication, enabling message retrieval, thread replies, search, user and channel listing.

Enables AI agents to analyze whether they should send an email, evaluating passive aggression and regret probability with a recommendation heavily weighted toward no.

A simple Model Context Protocol server for Slack integration that enables messaging, channel management, and workspace search capabilities.

MCP to Connect JIRA by NodeJs

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables fuzzy searching and browsing of Slack messages, users, and channels via CLI or MCP server integration.

A Model Context Protocol (MCP) server that integrates with Atlassian Jira to search issues, retrieve details, access comments, create new issues, and update issues.

Listens for Slack @mentions and publishes them as real-time events to the KĀDI event bus, enabling event-driven architectures with low latency.

MCP server that exposes Slack Web API operations as tools, enabling users to list conversations, read history, post messages, and call any Slack Web API method.

MCP server for Slack that enables AI agents to interact with Slack workspaces, including listing channels, reading and posting messages, searching, managing users, reactions, and user groups.

Provides software development planning tools to help users create implementation plans and manage todo items.

Read and respond to Slack from Claude.

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.