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    Turns any LLM into a coding co-pilot with production-ready MCP server providing lint, test, execution, generation, and graph tools. Features Neo4j persistence, OpenAI Agent integration, REST API, and React frontend for comprehensive code development assistance.
    Last updated
    MIT
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    Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.
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    Apache 2.0
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    Enables execution of TypeScript code to call MCP tools instead of direct tool calls, reducing token usage by up to 98% while orchestrating complex multi-tool workflows through secure sandboxed code execution.
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    1
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    A Model Context Protocol server that automatically reads the Claude Desktop configuration file and presents all available MCP services in an easy-to-copy format at the top of the tools list.
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    MIT
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    Enables AI assistants to generate, edit, and deploy production-ready full-stack applications through VULK's automated development pipeline. It supports multi-file code generation, browser verification, and exports to web, PWA, and mobile platforms.
    Last updated
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    MIT
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    Free, cross-platform VM orchestration for AI workflows with built-in MCP integration, sandboxed code execution, and compliance-ready architecture (SOC 1/2/3, HIPAA, ISO 27001).
    Last updated
    Apache 2.0
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    An MCP-compliant server that enables AI systems to interact with mobile and desktop applications through Frida's dynamic instrumentation capabilities, allowing for process management, device control, JavaScript execution, and script injection.
    Last updated
    381
    MIT
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    A Code Indexing MCP Server that connects AI coding assistants to external codebases, providing accurate and up-to-date code snippets to reduce mistakes and hallucinations.
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    119
    Apache 2.0
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    Enables AI assistants to interact with Clojure REPLs for evaluating code, performing structural edits with bracket balancing, and looking up symbol documentation. Transforms AI coding assistants into interactive programming partners with access to runtime evaluation and real data structures.
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    59
    MIT
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    Enables AI assistants to automatically analyze GitHub repositories and set up development environments by detecting tech stacks, installing dependencies, and verifying project builds. Provides safe tools for repository cloning, file system operations, package installation, and build verification through an allowlisted command system.
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  • F
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    A dynamic tool management platform that allows creating, editing, and executing Python code tools via a web UI, exposing them as MCP tools through Streamable HTTP.
    Last updated