API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 6943servers and find the perfect MCPs for your needs.
Txtai.rs
Provides Rust bindings for the txtai API, enabling semantic search, LLM orchestration, and language model workflows within Rust applications.
Notion
Provides a standardized interface for interacting with Notion's API as a Model Context Protocol (MCP) server.
Awesome Crypto
Curates a list of Model Context Protocol (MCP) servers specifically for cryptocurrency-related applications.
LMStudio Bridge
Enables Claude to interact with locally running LLM models through LM Studio by providing a Model Control Protocol (MCP) server.
Deepseek Thinking Claude
Enhances Claude 3.5 Sonnet's responses by incorporating structured reasoning from DeepSeek R1 through the OpenRouter API.
Hayhooks
Deploy Haystack pipelines as REST APIs and MCP Tools with ease.
N8n
Enables Large Language Models (LLMs) to securely interact with n8n workflows, executions, and credentials.
Serper Search and Scrape
Enables web search and webpage scraping capabilities using the Serper API within MCP-compatible environments.
Svelte Docs
Provides efficient access to Svelte documentation with advanced caching and search capabilities.
JFrog
Enables interaction with JFrog Platform APIs for repository management, build tracking, and more.
CodeQL
Enables interaction with CodeQL through structured commands for tools and AI agents.
App Store Connect
Provides a Model Context Protocol (MCP) server for interacting with the App Store Connect API.
Livebook Tools
Enhance Livebook development with AI code editing, model context protocol servers, and command-line execution of Livebooks.
eShopLite
Showcases a .NET eCommerce application with semantic search, managed context protocol (MCP), and reasoning models.
Ultimate
Provides AI agents with a comprehensive operating system, enabling access to tools, cognitive systems, and specialized services through the Model Context Protocol.
Remote Functions
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.
Wxflows
Provides examples and tutorials for building AI applications using the watsonx.ai Flows Engine.
HubSpot
Enables AI assistants to interact with HubSpot CRM data, leveraging vector storage and caching for improved performance.
OpenStreetMap
Empowers LLMs with location-based services and geospatial data from OpenStreetMap.
Swagger
Serves Swagger/OpenAPI specifications through the Model Context Protocol.
Scroll for more results...