Discover our curated collection of MCP servers for developer tools. Browse 13845servers and find the perfect MCPs for your needs.
Enables Large Language Models to write and execute MATLAB scripts for complex computations and simulations.
Manages memory banks for AI assistants, providing context and persistent storage via local or remote SSH servers.
Provides intelligent text summarization capabilities to manage context window size for AI agents by summarizing outputs from various actions.
Enables interaction with GitLab repositories, issues, and merge requests through the Model Context Protocol.
Executes Python code through the MCP protocol with a persistent session.
Enables fetching web content and processing images for use with Claude Desktop or other Model Context Protocol (MCP) clients.
Creates multiple implementations of proposed software features using coding agents and a unified API for tool access.
Provides access to LeetCode problems, user data, and contest information via a GraphQL interface.
Provides an enterprise governance layer for Model Context Protocol SDK, adding identity, RBAC, credential management, auditing, logging, and tracing capabilities.
Enables building Model Context Protocol (MCP) clients and servers in Go.
Enables dynamic generation and execution of Emacs Lisp code within a running Emacs process.
Integrates Microsoft Teams with AI assistants via the Model Context Protocol (MCP).
Transforms your development workflow by providing an AI-powered CLI assistant for codebase interaction and analysis.
Integrate OpenRouter's vast collection of AI models directly into Claude Code through a local server.
Automates the discovery, selection, and configuration of Model Context Protocol (MCP) servers for various tasks.
Offers a Model Context Protocol server for embedded debugging, providing AI assistants with comprehensive capabilities for ARM Cortex-M and RISC-V microcontrollers via various probes.
Facilitates seamless management of multiple SSH connections, remote command execution, and file transfers directly from Claude Code.
Collects public data from popular self-media platforms like Xiaohongshu, Bilibili, Douyin, Kuaishou, Weibo, Tieba, and Zhihu, integrating with AI assistants.
Aggregates multiple Model Context Protocol (MCP) servers, providing policy-based access control and on-demand tool discovery for agents to prevent context window bloat.
Provides AI assistants with durable, relational, and cross-platform memory, enabling personalized and consistent interactions across all your tools.
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