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Enables programmatic management of Airtable bases, tables, fields, and records through Claude Desktop or other Model Context Protocol (MCP) clients.
Converts various file formats to Markdown using the MarkItDown utility via the Model Context Protocol (MCP).
Connects Redmine's REST API to LLMs, providing access to ticket and project information.
Enables LLMs to interact with and manage bookmarks stored in Raindrop.io using the Model Context Protocol.
Enables LLMs to compose, send emails, and search for attachments within specified directories.
Enables creating and modifying wireframes in Frame0 by prompting.
Connect AI assistants to an ERPNext instance via the Model Context Protocol (MCP) using the official Frappe API.
Provides a server to retrieve synchronized transcripts from YouTube videos.
Enables AI assistants to interact with Joplin notes, notebooks, and tags through a standardized interface.
Empowers AI with real-time desktop vision capabilities and enhanced UI intelligence through the Model Context Protocol.
Provides a Model Context Protocol (MCP) server that enables AI assistants to interact with Fastmail's email, contacts, and calendar data.
Generates AI-driven diagrams and interactive prototypes in various styles based on natural language descriptions.
Enables AI assistants to execute Python code with pexpect functionality, allowing for interactive debugging and programmatic command-line interaction.
Orchestrates automated reverse engineering and debugging across multiple IDA Pro instances.
Enables AI CLI tools like Cursor and Claude Code to invoke specialized, custom AI agents for specific tasks.
Enables AI assistants to generate and edit images leveraging Google's Gemini 2.5 Flash Image API within MCP-compatible tools.
Enables version control and programmatic management of Unreal Engine's UMG UI assets by converting them to and from human-readable JSON files.
Integrates InfraNodus knowledge graph and text network analysis capabilities into large language model workflows and AI assistants.
Provides seamless access to SigNoz observability data through AI assistants and LLMs, enabling natural language queries for metrics, traces, and logs.
Empowers AI agents to control Figma through direct code execution and comprehensive API access.
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