Discover our curated collection of MCP servers for developer tools. Browse 13671servers and find the perfect MCPs for your needs.
Provides an infrastructure layer for AI agents to connect and manage tools across various environments.
Manages Letta agents, memory blocks, and tools through an MCP server implementation.
Provides standardized access to the 1C:Enterprise platform API for AI assistants.
Automates professional interactions with Google NotebookLM by providing a Model Context Protocol (MCP) server.
Enables Claude AI to create and modify React applications through the Model Context Protocol.
Connects to a FHIR server to provide core Model Context Protocol functionality for interacting with FHIR resources.
Provides token-efficient access to OpenAPI/Swagger specifications via MCP Resources for client-side exploration.
Serves a knowledge base built using txtai for semantic search, knowledge graph querying, and AI-driven text processing.
Provides an asynchronous Python SDK for TickTick, combining official and unofficial APIs, and includes an MCP server for AI assistant integration.
Enables AI assistants to control Ableton Live in real-time through a standardized protocol interface.
Provides AI coding assistants with comprehensive browser automation, debugging, and observability capabilities using Playwright.
Provides a unified interface to numerical, logical, and symbolic solvers, leveraging MCP for problem-solving.
Provides semantic search capabilities for Hex package documentation within compatible code editors.
Implements a Model Context Protocol (MCP) server for managing and summarizing text notes.
Facilitates interaction with Slack workspaces by acting as a Model Context Protocol server, providing a comprehensive set of communication and management tools.
Control OBS Studio via a suite of MCP tools.
Provides optimized file system operations with smart context management and token-efficient partial reading/editing.
Enables natural language querying of PostgreSQL databases using Ollama's LLM and the Model Context Protocol.
Organizes MCP servers in local workspaces and shares them through a single command.
Enables interaction with the Datadog API using the Model Context Protocol for accessing monitoring data, dashboards, metrics, events, logs, and incidents.
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