API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 6943servers and find the perfect MCPs for your needs.
Google Chat Integration
Integrates Google Chat with Model Control Protocol (MCP) servers, enabling access and interaction with Chat spaces and messages through MCP tools.
SvelteKit & Vercel Starter
Provides a basic foundation for integrating Model Context Protocol (MCP) with SvelteKit applications deployed on Vercel.
Trakt
Connects AI language models to the Trakt.tv API, granting access to real-time entertainment data and viewing history.
Osmosis Agent Toolkit
Enables Large Language Models (LLMs) to interact with the Osmosis protocol.
Sontallive Template
Provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python.
OpenRouter Multimodal
Provides chat and image analysis capabilities by leveraging OpenRouter.ai's model ecosystem.
AgentX
Provides managed Model Context Protocol (MCP) servers for connecting AI agents to production-ready services.
Pollinations
Connects AI models to the Pollinations.ai service using the Model Context Protocol to generate images and text.
Moralis API
Connects natural language prompts to blockchain insights, enabling AI models to query blockchain data without custom code.
Osrs
Provides tools for interacting with Old School RuneScape Wiki API and game data files.
Servers
Creates specialized servers for various use cases using CAMEL AI.
The Movie DB
Provides a server-side implementation for accessing The Movie DB API functionalities.
Fugle
Facilitates interaction with the Fugle trading system, enabling stock data queries and trading functionality.
Shopify
Enables interaction with Shopify store data through a GraphQL API.
Social Media
Manages and automates interactions with social media platforms, specifically X (formerly Twitter).
Mcpdoc
Exposes llms.txt files to IDEs for enhanced development context and tool control.
OpsLevel
Enables AI tools to interact with your OpsLevel account by providing access to its data.
SSH Client
Connects to remote Model Context Protocol (MCP) servers over SSH, enabling secure access to MCP tools.
Semrush
Integrates Semrush API functionality into AI assistants via an MCP server.
Contentful Delivery
Provides access to Contentful's Delivery API through natural language queries, enabling AI assistants to retrieve and manage content seamlessly.
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