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Integrate Registry Broker specialists directly into OpenAI Codex workflows for efficient agent discovery and delegation.
Automatically convert OpenAPI endpoints into Model Context Protocol (MCP) tools.
Enables AI agents to display information, dashboards, and custom graphics on Waveshare e-ink screens via the MCP protocol.
Unifies powerful AI development toolkits for design intelligence, command execution, and composable development skills.
Provides a minimal MCP server for Anytype, integrating discover, action, and search functionalities.
Enables AI assistants to read and manage Typemill CMS content via the Model Context Protocol.
Generates annotated project file maps for AI-assisted development, offering fast, interactive exploration and integration with AI models.
Provides comprehensive nutrition data, including food search and detailed nutritional information, sourced from Open Food Facts.
Integrate and manage payment gateway operations, customer data, and product information for Chargily Pay in Algeria.
Integrates AI-powered conversational interfaces into TON blockchain dApps to humanize Web3 interactions and automate support.
Provides access to German land and woodland management regulations, including GrdstVG, BWaldG, Hoefeordnung, and Natura 2000, through an AI-queryable Model Context Protocol (MCP) server.
Provides a secure HTTP server for relational databases, enabling MCP clients to execute safe SQL operations while offering robust management of access keys, audit logs, and database mappings.
Provides a Model Context Protocol server for integrating GDB with clients for Linux core dump analysis, remote debugging, and direct program debugging.
Integrates AI assistants like Claude Desktop and Cursor directly with Testmo test management for natural language control over test cases, runs, and automation.
Provides low-code visual programming and zero-code AI interaction capabilities for the NAO robotics platform through a modular, service-oriented architecture.
Manages local-first AI long-term memories using FSRS scheduling, git-backed snapshots, and an MCP toolset for storage, recall, and review.
Intercepts risky AI agent decisions, verifies them against a project history, detects contradictions, and gates human approval.
Empowers AI agents to perform complex hydrological computations, including watershed delineation, streamflow analysis, and model calibration, via an open-standard MCP server.
Provides Large Language Models with direct access to Windows clipboard content.
Detects issues, scans for security vulnerabilities, and suggests improvements in code.
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