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Integrates Flowise chatflows and assistants into a Model Context Protocol (MCP) environment.
Enables the creation of MCP-compatible clients and servers in Go for AI model and application communication.
Manipulates text using Unicode tricks for steganography, bypassing filters, and creating puzzles.
Simplifies Terraform on AWS development by providing a Dockerized Model Context Protocol (MCP) server with integrated best practices, infrastructure as code patterns, and security compliance.
Retrieves visa and immigration information for various countries via an MCP server.
Enables AI agents to interact with Azure DevOps projects, managing work items, wikis, and repositories.
Demonstrates basic usages of the Model Context Protocol with a Python server and client.
Provides SSH functionality for managing remote servers, executing commands, and performing file operations.
Manages and multiplexes connections to multiple Model Context Protocol servers, enabling unified access and advanced execution modes.
Provides a foundational Model Context Protocol server, integrating the Tavily API for advanced web search capabilities.
Exposes RefMD documents over a hosted SSE endpoint, enabling chatbots to browse and edit Markdown through RefMD's API.
Enables AI models like Claude to discover and invoke ServiceStack APIs through natural language.
Fetches and reads official documentation in real-time, providing instant, context-aware answers to developers within their AI assistant.
A multi-agent NLP system analyzes, summarizes, and compares insurance policy documents, enabling intelligent document understanding, semantic search, and comparative analysis between Tunisian and international insurance standards.
Optimizes AI coding tools by minimizing token usage when parsing Swift code and log files for iOS development.
Connect enterprise knowledge bases securely to AI assistants and developer tools for real-time information access.
Secures processes with lightweight OS-level sandboxing, offering filesystem and network controls without containers.
Renders interactive Chart.js data visualizations directly within AI assistant interfaces and other MCP-compatible clients.
Empowers AI assistants with a suite of 14 specialized tools for advanced code analysis, robust JSON repair, and comprehensive encoding fixes.
Empowers AI assistants with comprehensive filesystem access, process management, interactive shell sessions, and asynchronous file search capabilities.
Provides a comprehensive suite of 37 developer tools for hashing, encoding, regex, JSON, SQL, cron, QR codes, UUIDs, JWTs, and more.
Empower AI agents to perform comprehensive browser, API, and Model Context Protocol server testing.
Audits HTTP security headers against best practices for web applications.
Extract YouTube video transcripts, manage history, and integrate content with various AI assistants and development environments.
Provides AI clients with tools including web search capabilities and random number generation, built on ASP.NET Core.
Connects AI assistants to Telegram as a real user account for messaging, chat management, media transfer, and more using MTProto.
Orchestrates autonomous AI agents to invent, evaluate, and fund software startups in real-time.
Manages Zitadel identity and access resources, including users, projects, applications, and roles, through natural language commands via AI tools.
Provides comprehensive exercise-to-muscle mapping data for AI clients, detailing primary, secondary, and stabilizer muscle activation.
Empowers AI agents with 19 specialized tools for real-time crypto token risk analysis, rug pull detection, and AI forensics, ensuring secure decentralized finance interactions.
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