API Development Servidores MCP

Square

Enables AI assistants to interact with the comprehensive Square API ecosystem via the Model Context Protocol.

XTRF Home Portal

Generates a Model Context Protocol (MCP) server from an OpenAPI specification.

Golden Egg

Enables AI agents to query Taiwan stock holdings from multiple brokerage firms via an MCP Plugin.

Ramp

Interfaces with the Ramp API to allow access to Ramp data from any MCP client.

Github

Integrates with GitHub's API through the Model Context Protocol (MCP).

Youtube Search

Provides comprehensive YouTube search functionality using the YouTube Data API v3.

PostgreSQL CRUD

Enables Large Language Models to interact with PostgreSQL databases for CRUD operations and advanced querying via the Model Context Protocol.

SQL Server

Enables natural language interaction between large language models (LLMs) and Microsoft SQL Server databases via the Model Context Protocol.

Calendarific

Provides global public holiday data for AI assistants via the Calendarific API.

Date and Time

Offers a robust set of functionalities for retrieving date and time, accessing user profiles, and generating personalized greetings.

Amazon LP

Provides a Model Context Protocol server for accessing Amazon Leadership Principles and their associated video transcripts.

Feedback Loop

Enables a human-in-the-loop workflow for AI-assisted development tools by providing a server to run commands, view outputs, and provide textual feedback.

Statsig

Integrates AI assistants with Statsig's feature flagging and experimentation platform for comprehensive feature management.

Ipify

Retrieves a machine's current IP address using ipify.

Yokai

Provides a ready-to-extend application based on the Yokai Go framework with the MCP server module installed.

SourceSync.ai

Enables AI models to interact with SourceSync.ai's knowledge management platform through a standardized interface.

Metro

Provides real-time information and trip planning for the Washington, DC Metro system through natural language queries.

Pentest

Bridges Large Language Models with penetration testing tools via the Model Context Protocol (MCP).

OpenFoodFacts

Provides access to the Open Food Facts dataset for fast product queries using DuckDB and Parquet, supporting both local and remote integrations.

Kafka Processor

Enables Large Language Models to interact with Kafka event streams using the Model Context Protocol.