Discover our curated collection of MCP servers for developer tools. Browse 13550servers and find the perfect MCPs for your needs.
Enables AI agents to interact with tools and services through secure, sandboxed TypeScript code execution, replacing traditional sequential tool calling.
Provides an open-source, self-hosted AI workspace for developing and deploying intelligent, UI-rich AI agents that integrate with internal systems.
Provides a local Model Context Protocol (MCP) server for interacting with MongoDB databases using natural language queries.
Empowers developers to connect AI applications to external data sources, APIs, and tools using a single function call.
Provides a Model Context Protocol (MCP) implementation for the Opik platform, enabling seamless IDE integration and unified access to LLM application data.
Enables AI assistants and LLM applications to securely execute code snippets within isolated containerized environments.
Aggregates and serves multiple Model Context Protocol (MCP) resource servers through a single interface.
Orchestrates experimental, small-scale engineering agents with multi-provider LLM support for comparative evaluation.
Empowers AI assistants to programmatically interact with Power BI models, enabling them to read model structures, execute DAX queries, and manage various model components through natural language.
Provides Model Context Protocol (MCP) servers for integrating AI assistants with various applications.
Enables Claude to interact with ServiceNow instances by providing a Model Completion Protocol server implementation.
Simplifies the creation of Model Context Protocol (MCP) servers in TypeScript.
Manages, proxies, and secures Model Context Protocol (MCP) servers to control LLM activity.
Facilitates AI coding agents in generating Flutter code by providing rich design data directly from Figma.
Provides persistent, searchable local memory for AI assistants, LLMs, and Copilot within VS Code.
Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.
Connects AI assistants to various databases, enabling natural language querying and analysis through the Model Context Protocol (MCP) and HTTP API.
Enables AI systems to interact with and instrument mobile and desktop applications through dynamic analysis.
Integrate Universal Tool Calling Protocol (UTCP) capabilities directly into the Model Context Protocol (MCP) ecosystem through a versatile, all-in-one server.
Enables access to blockchain interactions, swaps, staking, and crypto trading strategies for AI agents.
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