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    Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r
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    MIT
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    A comprehensive MCP server providing tools for AI agents to interact with code, including reading symbols, importing modules, replacing text, and sending OS notifications.
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    MIT
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    Enables AI agents to create, manage, and execute code in isolated Firecracker microVM sandboxes via the MCP protocol, with support for sandbox lifecycle and file operations.
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    Apache 2.0
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    A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.
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    Apache 2.0
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    A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.
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    An MCP server that provides a real debugger via the Debug Adapter Protocol, exposing a single 'debug' tool to launch/attach, control execution, and inspect program state across gdb, lldb, debugpy, and more.
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    Enables the conversion of Dify applications into Model Context Protocol tools, supporting streaming responses and configured via YAML.
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    Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just a single LLM call. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) inside a sandboxed workspace.
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    MIT
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    Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.
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    Apache 2.0
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    A demonstration server that reveals security risks by accessing sensitive environment variables, illustrating how MCP tools can potentially leak user data without explicit consent.
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    MIT
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    An MCP server that enables AI assistants to directly run, inspect, modify, and debug Godot game development projects through 110+ tools covering scenes, scripts, resources, runtime debugging, and asset management.
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    MIT
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    A Model Context Protocol server that enables AI assistants to interact directly with Warden-managed Magento 2 development environments, automating common tasks like project initialization, environment management, database operations, and Magento CLI commands.
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