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Enables comprehensive interaction with the GitHub API, facilitating file operations, repository management, and advanced search capabilities.
Facilitates interaction with JIRA APIs through Claude Desktop for issue management and user search.
Generates secure, shareable URLs for AI-created visual content with preserved interactivity and embedded risk sanitization.
Automates pull request analysis and documentation by integrating GitHub with Notion.
Facilitates the creation of a Model Context Protocol (MCP) server integrated with the Slack API.
Facilitates standardized access to Slack's API features for AI assistants and other clients, enabling real-time event processing.
Connects AI assistants to multiple messaging platforms like WhatsApp and Microsoft Teams via the Model Context Protocol.
Enables AI agents to manage merge requests and issues, review code, and post comments directly within GitLab repositories.
Integrates with Feishu APIs, providing over 20 tools for AI models to interact with documents, bots, chats, and multi-dimensional tables through the Model Context Protocol.
Streamlines feedback submission for Claude skills, automatically detecting context and creating trackable Service Portal Objects (SBOs) in ServiceNow.
Provides a Model Context Protocol server for comprehensive interaction with the Coda.io API.
Exposes a Docker-wrapped Slack server as a command-line interface, enabling token-efficient interaction for large language model agents.
Empowers AI assistants with comprehensive read and write access to Asana for task and project management through natural language.
Facilitates AI-driven project management for coding agents, streamlining development workflows through the Model Context Protocol.
Integrates self-hosted Planka kanban boards with AI assistants to transform AI-generated insights into actionable tasks.
Enables AI assistants to manage Upwork freelancer contracts, milestones, and communications through natural language.
Enables AI agents to maintain and share project-level understanding across sessions and machines.
Facilitates approval-gated communication between AI agents in multi-agent Delphi workflows across secure networks.
Establishes a shared, persistent knowledge network for AI agents, allowing them to retain and exchange information across sessions and teams.
Orchestrates specialized AI agents to generate comprehensive, user-friendly travel plans by integrating various tools via Model Context Protocol (MCP) servers.
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