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Provides pre-defined prompt templates for AI assistants to generate plans for TypeScript projects, API architectures, and GitHub workflows.
Unify diverse tools and capabilities through the Model Context Protocol, allowing AI systems to interact with specialized services with live progress updates.
Enables interaction with the Up Bank API through MCP-enabled clients.
Transforms URLs into scannable QR codes with downloadable image links, accessible via a Model Context Protocol server.
Demonstrates the implementation of the official MCP-JAVA-SDK.
Reports authentication information about the current request by decoding the JWT from the Authorization header.
Converts stdio input into streamable-http requests, facilitating communication between stdio-based processes and HTTP-compatible services.
Manages conversations with language models through a standardized Model Context Protocol (MCP) interface.
Provides a queryable collection of software development standards and best practices for AI agents.
Provides an open-source, modular brain for managing AI employees and integrating with workflow engines.
Enables Claude to fetch content types and entries from a Contentful CMS space.
Retrieves information from Obsidian vaults for use with Machine Comprehension and Processing (MCP) servers.
Enables sending emails through AWS SES directly from applications like Cursor or Claude Desktop.
Provides a search engine for Micronaut documentation and guides, accessible via a web application and an MCP Server.
Optimizes Supabase integration for the Windsurf Editor by enhancing error handling, response formatting, and SQL query processing.
Provides a TypeScript-based server that integrates with Cursor IDE for code review and analysis.
Provides tools for interacting with the Artemis API and generating formulas for crypto data analysis.
Enables AI assistants to store and retrieve contextual information efficiently using local vector storage and database.
Converts natural language queries into optimized SQL, offering enterprise-grade support for large databases and multiple AI providers.
Enables natural language control of self-hosted media technology stacks using Large Language Models via the Model Context Protocol.
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