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    A Python-based template for creating modular command center servers using the Mondel Context Protocol that provides a structured foundation for building scalable applications with mathematical operations and modular arithmetic functions.
    MIT
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    Provides tools to search arXiv papers and extract metadata, enabling AI assistants to access academic research papers via the Model Context Protocol.
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    A local, read-only MCP server (plus CLI) over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk with bootstrap confidence intervals and validates targets with walk-forward verdicts. The assistant narrates, but the number fence makes it structurally impossible for the model to produce a figure.
    10
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    1
    AGPL 3.0
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    Phylogenetic inference server driving IQ-TREE 2, always returning per-clade bootstrap support plus model selection, tree comparison, and alignment simulation, with detailed diagnostics like conflicting clades and model uncertainty.
    5
    GPL 2.0
  • F
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    Safe MCP server bootstrap for Outline Wiki providing connection validation, capability reports, and diagnostics in a read-only, agentic mode.
    3
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    A template project for building Model Context Protocol servers with FastMCP framework, Docker support, and example CRUD API implementation to help developers quickly bootstrap their own MCP servers.
    6
    MIT
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    Bootstrap MCP server for future data exploration and querying across multiple databases, currently only provides a hello_world tool with no actual data connectivity.
    29
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    Local-first backtesting engine with built-in overfitting detection (PBO, deflated Sharpe, bootstrap CI, walk-forward) and a native MCP server for AI agents to validate trading strategies.
    4
    Apache 2.0
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    Bootstrap a production-grade OpenClaw agent workspace with memory system, config validation, and templates. Exposes tools like setup_workspace, validate_config, list_templates, and get_optimization_advice via MCP.
    1
    MIT
  • A
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    Exposes a developer's local context (communication preferences, stack, repos, memory models) to AI agents via MCP tools and resources, enabling them to bootstrap with local guidelines and reduce context hallucination.
    MIT
  • F
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    MCP server for building knowledge graphs from documents. It ingests PDF/PPTX/DOCX files, transcribes to Markdown, and uses LLM to bootstrap entity patterns and build a JSONL knowledge graph with RAG chunks.
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    Institutional MCP server that centralizes access to identity, institutional profiles, and basic person data. Currently a bootstrap with no business logic or tools implemented.