"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.

MCP server that reads Slack through your own browser session, authenticating as you rather than a bot. Provides tools to search messages, retrieve channel/DM/thread history, resolve users, and post messages (write disabled by default).

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

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

Multi-workspace Slack MCP server with draft+confirm safety, vault auto-export, and triple-mode auth.

Enables converting software development requirements into traceable estimates, WBS breakdowns, PERT calculations, risk registers, roadmaps, quotations, and professional PDF proposals or action plans. It supports reviewing assumptions, exclusions, scope gaps, and commercial documentation before sending deliverables to clients.

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.

An async MCP server for JIRA integration, enabling AI assistants to search, create, and manage JIRA issues via JQL and other operations.

Enables reading Slack channels, messages, and threads using the web interface via a persistent browser session, designed for guest users without API access. Does not send messages.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

MCP server for Jira Cloud enabling issue tracking, comments, transitions, and attachments management through natural language.

MCP server for Jira Server/Data Center that enables issue retrieval, JQL search, comment posting, and Tempo worklog queries via the atlassian-python-api.

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.

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.

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

Local MCP stdio bridge to Slack's hosted MCP server, enabling agents to use Slack tools (send messages, search, history, canvas, etc.) via local OAuth and token refresh.

Enables reading, searching, and downloading files across multiple Slack workspaces via per-workspace user tokens, plus drafting and confirmed sending of messages and attachments.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

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

Enables MCP clients to read and create Jira issues against Jira Cloud or Data Center through a self-hosted FastMCP server with secure authentication and configurable fields.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Enables acting in Slack as yourself through a personal user token, so messages, files, reactions, status changes and searches come from you rather than a bot. Includes read-only and channel-scoped write controls, plus an optional style gate that blocks AI typography and stock phrases before anything is sent.

Enables AI assistants to interact with Slack workspaces, providing tools for reading messages, posting content, managing channels, and more.

Provides secure, read-only access to Slack workspaces, letting MCP clients read channels, messages, users, and file metadata without write permissions.

Provides LLMs full access to Slack: messages, channels, files, canvases, lists, search, reactions, and more via 220 tools and 36 API families.

MCP server for fetching Jira issue data via the Jira API.

This MCP server enables interaction with Atlassian products (Jira and Confluence), with additional tools for uploading attachments, embedding images, and commenting with images. It supports both Cloud and Server/Data Center deployments.

Enables uploading local files to Slack with a message, supporting channels, DMs, threads, and file titles.