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Provides access to Google Classroom data through Claude and other AI assistants that support the MCP protocol.
Connect AI assistants to a universal product search engine for discovering and purchasing products across the web.
Integrates with AWS Cognito to provide user authentication and management for MCP applications.
Facilitates learning and integration with the Nylas API by providing documentation, code samples, and interactive tools.
Query Solana transactions using natural language via the Solscan API.
Enables developers to quickly build an extensible MCP server framework supporting both stdio and SSE startup modes.
Integrates Emlog blog systems, enabling AI assistants to interact with blogs via a standardized Model Context Protocol interface.
Programmatically creates, edits, and formats PowerPoint presentations with advanced content and animation capabilities.
Provides AI assistants with real-time access to Hacker News content, including stories, comments, and search capabilities.
Connects AI tools and IDEs to your product documentation through a hosted Retrieval-Augmented Generation (RAG) layer.
Integrates Vibe Coding methodology with Knowledge Graph technology to enable AI-assisted software development.
Generate and manage sophisticated LinkedIn posts using a design system approach with component-based architecture, variants, and themes.
Integrates Omise payment APIs through a Model Context Protocol (MCP) server, offering comprehensive tools for payments, customers, transfers, refunds, and recurring billing.
Enhance AI conversations with a persistent memory server that retains context and enables meaningful semantic search across sessions.
Facilitate direct access to Gong call data, transcripts, and user information via a Model Context Protocol (MCP) server.
Enables AI assistants to review and manage PingOne tenants by integrating the PingOne management API.
Enables AI assistants to control Keyboard Maestro and manage macros using natural language commands.
Analyzes local Python repositories to generate and maintain practical `ONBOARDING.md` documentation for environment setup, dependencies, testing, and application execution.
Provides comprehensive UK property research tools for AI assistants, enabling property search, area analysis, and automated valuation models.
Enables large language models to delegate Windows and browser automation tasks to smaller, more cost-effective LLMs, significantly reducing context window usage.
Exposes Azure AI Foundry agents, workflows, and Azure AI Search capabilities as Model Context Protocol (MCP) tools.
Manages an open-source Trino control plane for Kubernetes, offering warm cluster pools, instant reservation, and AI agent integration for data platform management.
Manages spreadsheet files across multiple formats, offering both cell-level operations and a powerful DuckDB SQL engine for data manipulation.
Delivers cryptographically signed data assertions via microtransactions over Lightning (L402) and USDC on Base (x402) without relying on API keys or accounts.
Establishes the first native CFML MCP system, integrating an MCP+MoE+LLM agent with robust API key management and rotation for modern CFML development.
Track personal finances and manage budgets with natural language integration.
Connects AI agents to a shared knowledge base of proven solutions, accelerating problem-solving and reducing token costs.
Empower AI assistants to build, deploy, and export full-stack web and mobile applications.
Provides access to Notice to Airmen (NOTAMs) data for global airports, enabling retrieval of aviation notices and operational information for LLMs.
Establishes a verifiable state plane for autonomous AI agents, ensuring reliable context management and knowledge integrity.
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