API Development MCP 服务器

Dify Workflow

Enables query and invocation of Dify workflows within an MCP server environment.

SQL

Enables language models and MCP-compatible clients to query PostgreSQL databases, including secure access via SSH bastion tunnels.

Example

Explores the Model Context Protocol (MCP), its concepts, operation, and potential future impact on AI tool integration.

Storyblok

Provides a Model Context Protocol (MCP) server for managing Storyblok CMS content.

PiAPI

Enables the generation of diverse media content from large language models using a Model Context Protocol (MCP) server.

Bridge

Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.

Guardrail

Checks if provided context is safe by identifying potential code injection or harmful content.

Lightdash

Provides a Model Context Protocol (MCP) server for accessing Lightdash's API, enabling AI assistants to interact with Lightdash data.

UsingMcp

Automates developer workflows on GitHub through AI integration.

Gentoro

Enables Claude to interact with Gentoro bridges and underlying capabilities through a managed tool integration.

Fulfillment Toolkit

Generates Google Ads content through Model Context Protocol (MCP) compatible clients.

Semrush

Integrates Semrush API functionality into AI assistants via an MCP server.

Firecrawl

Scrapes websites and extracts structured data using Firecrawl's APIs.

Npm Search

Searches for npm packages by calling the `npm search` command.

Connect API Example

Demonstrates a client and server implementation using the Connect API, enabling interaction with OpenAPI-compatible servers.

Hana

Provides a standardized interface for managing ML models, execution contexts, and communication protocols between applications and the HANA Cloud database.

Jena Connector

Connects AI agents to Apache Jena for SPARQL query execution and RDF data manipulation.