Discover our curated collection of MCP servers for developer tools. Browse 20598 servers and find the perfect MCPs for your needs.
Query the Shodan API and CVEDB to gather network intelligence and security insights.
Bridges Language Server Protocol (LSP) servers with Model Context Protocol (MCP) clients, enabling LLMs to leverage LSP features.
Integrates with Google Tasks to enable managing tasks through listing, searching, creating, updating, and deleting.
Provides cryptocurrency technical analysis indicators and strategies for AI trading agents.
Provides a Model Context Protocol (MCP) server for streamlined PocketBase database interactions.
Implements a local, API-free web search for retrieval-augmented generation (RAG) using the Model Context Protocol (MCP).
Provides efficient access to Svelte documentation with advanced caching and search capabilities.
Enables AI agents to interact with Webflow using the Model Context Protocol (MCP) and the Webflow JavaScript SDK.
Enables communication between components in a model-driven system using the Model Context Protocol.
Enables LLMs to accurately interpret mathematical expressions in scientific papers by fetching and processing LaTeX source from arXiv.
Facilitates the development and testing of MCP servers by acting as both a server for Claude and a client for servers under test.
Integrates Grafana Loki log data with the Model Context Protocol for AI agent interaction.
Orchestrates AI agent workflows with intelligent guidance, seamless transitions, and comprehensive reporting capabilities.
Automates iPhone tasks, including app control, UI interactions, and screenshot capture, via a streamable HTTP server using Appium.
Transforms SAP S/4HANA and ECC OData services into dynamic conversational AI interfaces by exposing them as MCP tools.
Interact with your Render cloud resources using Large Language Models.
Deploy intelligent multi-agent swarms and coordinate autonomous workflows in an advanced agentic development environment.
Provides Claude with persistent memory and workspace file access across all chats to eliminate repetitive explanations.
Enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP).
Orchestrates multiple AI models through an 8-step workflow, delivering high-quality, validated code with token optimization and automatic context preservation.
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