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Establishes a Model Context Protocol (MCP) server to enable secure AI system integration with the Moqui enterprise framework.
Facilitates enhanced problem-solving by providing systematic thinking, mental models, and debugging approaches through a Model Context Protocol server.
Enables AI agents to execute tasks defined in a Taskfile within a project directory.
Provides a Google Gemini API server for text generation, image analysis, video analysis, and web searching.
Facilitates Testomat.io API integration with AI assistants, such as Cursor, through a Model Context Protocol server.
Accesses MITRE's Common Weakness Enumeration (CWE) database via its official API, streamlining vulnerability research and integrating with MCP-compatible systems.
Provides a fast, local, and offline-first Model Context Protocol (MCP) server for comprehensive PrestaShop documentation.
Provides datasets and statistical libraries for JSer.info, a JavaScript information website.
Simplifies the creation of Model Context Protocol server implementations for AI agents.
Enables large language models to manage users, threat models, and security data within the Devici platform via an MCP server.
Enables interaction with PostgreSQL databases via Model Context Protocol (MCP) calls.
Provides standardized access to Bible data resources for Large Language Models using the Model Context Protocol.
Manages JSON schemas and generates instances from them.
Enables interaction with the dev.to API through a message-based architecture using a Python-based server.
Provides SQL access to the comprehensive ANSES Ciqual French food composition and nutritional database.
Integrates AI assistants with FreeCAD for advanced 3D model development, debugging, and automation.
Provides AI assistants with tools to load, parse, and query OpenAPI and Swagger API documentation.
Orchestrates an adversarial debate between AI agents to systematically verify code and uncover issues through dialectical reasoning.
Integrates with Mattermost to retrieve and process information via the Model Context Protocol.
Empowers AI agents with advanced meta-cognition and dynamic, reflective problem-solving capabilities.
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