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    A Code Mode MCP server that provides AI coding agents with curated, per-stack documentation as typed tools, enabling efficient document access and search across multiple stacks.
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    MIT
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    MCP server for the Symbols.app platform, enabling AI coding assistants to search docs, generate components, audit code, manage projects, and deploy via the smbls stack.
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    Creative Commons Attribution Non Commercial 4.0 International
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    Provides a compressed knowledge graph of the NVIDIA AI developer stack for deterministic traversal, enabling agents to answer questions about dependencies and prerequisites with minimal tokens.
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    MIT
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    Connects to vibe-code-best-practices.vercel.app to index 817 tools across 185 sections and 10 domains, routes the right tool/Skill for your project need, and can recommend a full stack.
    9
    MIT
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    Serves as a personal MCP hub for development, detecting the current stack and monorepo root, managing Docker Compose actions, querying Context7 documentation, and interacting with Nexus, while also forwarding tools from optional external MCP servers.
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    Public, read-only MCP server exposing structured metadata about the Makuri EdTech platform, including tools for platform info, languages, subjects, pricing, safety, compliance, tech stack, contact, free resources, and interactive panels. Designed for AI assistants to query platform details without accessing user data.
    MIT
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    The mcp.film directory as an MCP server — search a curated, continuously re-verified catalog of MCP servers for AI filmmaking, get install configs for any client, and plan a full production stack.
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    MIT
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    Enables querying a compressed knowledge graph of the NVIDIA AI developer stack, allowing users to traverse declared dependencies, prerequisites, and relationships across 20 domains via read-only MCP tools like query_ckg, get_prerequisites, and search_concepts.
    MIT
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    Enables verification of portfolio claims by resolving citations to exact supporting sentences at build time, providing read-only tools to list work, find evidence, check stack mentions, and read case studies while failing the build on any unverifiable claim.
    MIT
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    Provides production-ready implementation patterns for features like authentication, payments, and deployments to AI coding assistants. It enables developers to search and retrieve battle-tested code snippets and setup steps for full-stack tasks.
    MIT
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    A standalone Node.js MCP server designed for Memory Bank workflows that enables users to generate project-specific documentation from codebases. It provides tools for creating execution instructions and retrieving structured documentation context, specifically for the iOS stack.
    6
    MIT
  • F
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    Provides project-specific guides and instructions by selecting modules based on a project profile, enabling developers to get contextual instructions for their tech stack and architecture.
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