Enables collaboration with multiple AI providers (Claude, GPT-4, Gemini, Ollama) directly from VS Code with automatic project context injection and persistent conversation history. Provides streamlined tools for getting AI advice, multi-provider research, and enhanced context sharing across sessions.
Enables AI agents to interact with collaborative Jupyter notebooks and documents in real-time, supporting notebook operations, document editing, user awareness tracking, and session management through Jupyter's RTC capabilities.
Shared team memory for AI coding agents with Bayesian confidence scoring and temporal decay, enabling persistent storage and retrieval of engineering patterns across sessions.
MCP server for team task tracking, code review, and activity monitoring via Claude Code. Assign tasks, track branch activity, review code, and get daily summaries through natural language.
Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.
Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.
Enables Claude to collaborate with Gemini for code reviews, second opinions, and iterative software development. It facilitates multi-step workflows including PRD creation and code generation through an AI orchestration framework.
Enables users to leverage a team of specialized AI agent personas like Business Analysts and Product Managers through a unified interface across multiple LLM providers. It streamlines agile development workflows by providing tools for model discovery, unified prompt delivery, and role-specific decision making.
An MCP server that provides comprehensive access to the Slack Web API, enabling AI agents to search messages, manage channels, and create canvases. It features 13 core tools and over 300 dynamic methods for complete automation of Slack workspace operations.
The most powerful MCP server for Slack Workspaces. This integration supports both Stdio and SSE transports, proxy settings and does not require any permissions or bots being created or approved by Workspace admins π.
Enables Claude Code to pause and ask questions via Slack, and allows running Claude from Slack with project-aware context, supporting a full-process feature development workflow.
A production-ready MCP server for the Slack API that enables searching, listing channels, reading history, inspecting users, fetching threads, and sending messages through controlled Slack tools.
Enables platform engineering workflows via GitHub Copilot, including creating repositories from templates and provisioning Azure deployment environments.
An MCP server that enables AI agents to search and retrieve messages within a Slack workspace using the Slack Web API. It supports specific channel filtering and includes built-in rate limit handling for efficient message discovery.
A comprehensive Slack integration server that enables sending messages, managing channels, uploading files, and running Pomodoro timers through FastMCP v2.
An MCP server that enables interaction with Slack workspaces through tools for managing channels, sending messages, and retrieving user profiles. It leverages the Slack API and FastMCP to provide functionalities like message history lookup and reaction management.
A .NET-based Model Context Protocol server and Python client for interacting with the Slack Web API. It enables AI models to manage channels, send messages, retrieve chat history, and handle emoji reactions.
Enables comprehensive GitHub project management automation including creating/managing issues, updating project boards, assigning team members, and analyzing repository activity across organizations through OAuth-authenticated AI assistants.