Enables interaction with Trello boards via the Model Context Protocol.
Simplifies complex EVM blockchain interactions into composable, intent-based tools through a type-safe interface.
Provides simple RPC endpoints for interacting with multiple blockchains including Solana, Ethereum, THORChain, XRP Ledger, TON, Cardano, and UTXO chains.
Exposes FastAPI endpoints as Model Context Protocol (MCP) tools with zero configuration.
Enables protocol-level interaction with a Model Context Provider server, allowing users to send commands, query data, and interact with server resources.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Simplifies the development, running, evaluation, and orchestration of LLM-based agents using YAML and a CLI.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Exposes the full power of Creatify AI's video generation platform to AI assistants through a comprehensive Model Context Protocol (MCP) server.
Provides a Python SDK for interacting with the AT Protocol (Bluesky).
Protects AI applications by automatically scanning and blocking malicious Model Context Protocol (MCP) traffic.
Indexes codebases and builds intelligent knowledge graphs for semantic search and AI-powered assistance.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Integrates Zabbix monitoring capabilities with AI assistants and MCP-compatible tools, enabling comprehensive control over hosts, items, triggers, and problems.
Enhance AI agents with intelligent tool discovery, optimize token usage, and secure interactions against malicious MCP servers.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.
Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation.
Provides an enhanced Model Context Protocol (MCP) server for interactive user feedback and command execution, supporting both web and native desktop interfaces across various development environments.
Orchestrates multiple AI models to enhance CLI tools for collaborative development, code analysis, and problem-solving.
Serves as a fast, secure server for WebAssembly plugins, enabling AI capabilities and extensibility for various applications.