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Manipulate PDF forms by finding PDF files, extracting form field information, and visualizing form fields.
Integrates Scraper.is with the Model Context Protocol (MCP) for web scraping capabilities in AI assistants.
Demonstrates a Model Context Protocol (MCP) client implementation using Web Workers and Server-Sent Events (SSE).
Enables AI assistants to parse, analyze, and modify MIDI files using the Model Context Protocol (MCP).
Manages and automates interactions with Nature Remo devices through an MCP server.
Enables AI assistants to perform DNS and WHOIS queries via local resolvers and remote DNS-over-HTTPS services.
Connects Claude Desktop and OpenAI Responses API to a server for job searching functionalities.
Connects AI systems to the Stockfish chess engine via the Model Context Protocol.
Streamlines interaction with log files through a CLI and MCP server, aiding in debugging and monitoring.
Turns scattered AI conversations into persistent, searchable knowledge by capturing insights from any AI session and making them available across all your tools.
Extracts text content from PDF files and images using the Mistral OCR API through an MCP server.
Enhances the management and exploration of GitHub starred repositories through semantic search and AI agents.
Connects Large Language Models to Kuzu databases, enabling schema inspection and query execution through the Model Context Protocol.
Integrates the AivisSpeech text-to-speech engine with AI assistants and applications for natural Japanese speech synthesis.
Provides an MCP server for HomeyPro home automation systems, enabling paginated access and comprehensive control over devices, zones, and flows.
Provides a standardized interface for AI assistants to interact with the CodeQL N1ght tool for automated code analysis.
Generates images using Google's Gemini API, integrating advanced image generation capabilities with various AI models via an MCP server.
Builds a complete Model Context Protocol (MCP) server with STDIO transport for Claude Desktop, integrating with Microsoft Dynamics 365 Business Central.
Enables AI agents to control frontend web applications by exposing state and actions as tools via the Model Context Protocol.
Provides a robust attestation infrastructure for AI agents, encompassing verifiable identity, W3C credentials, and EU AI Act compliance.
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