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  • A
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    Hardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.
    6
    3
    MIT
  • A
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    Enables Claude to generate executable test cases from decision tables in CSV, JSON, or Markdown formats. Provides intelligent test planning guidance and generates Playwright/API test code with TypeScript support.
    7
    MIT
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    A Model Context Protocol (MCP) server implementation that allows AI assistants to run k6 load tests through natural language commands, supporting custom test durations and virtual users.
    2
    25
    MIT
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    B
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    MCP bridge between an AI assistant and the Godot editor, enabling control via 6 tools (call methods, run GDScript, screenshots, etc.) over WebSocket.
    165
    1
    MIT
  • A
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    Turns any YAML manifest into a fully-functional MCP server without hosting infrastructure, enabling custom tools, resources, and prompts via declarative configuration.
    36
    MIT
  • A
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    C
    maintenance
    A comprehensive local offline MCP server with over 300 tools for file operations, office documents, PDFs, code execution, databases, web browsing, memory, and cognitive functions, designed to work offline except for web search and email.
    MIT
  • A
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    quality
    B
    maintenance
    A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.
    MIT
  • F
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    maintenance
    A mathematical MCP server exposing 6 basic arithmetic and secure symbolic expression evaluation tools (add, subtract, multiply, divide, power, evaluate_expression) with structured JSON responses, input validation, and safe AST-based parsing.
  • A
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    mistral-mcp is a TypeScript MCP server (spec 2025-11-25) that exposes the full Mistral AI API surface: 22 tools: chat, OCR, audio (Voxtral), vision, agents, embeddings, moderation, classification, files, batch, sampling, FIM (Codestral), streaming 2 resources: mistral://models, mistral://voices 6 curated prompts (French + English) with MCP argument completion Dual transport: stdio (default) + Str
    8
    292
    16
    MIT
  • A
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    quality
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    Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.
    17
    MIT