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    Norman Finance is an accounting and tax filing autopilot designed for entrepreneurs in Germany. The Norman Finance MCP server enables new ways of interacting with Norman Finance's accounting, tax, and invoicing services. Simplifying financial workflows by integrating Norman Finance API capabilities
    34
    52 PyPI
    60
    MIT
  • F
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    quality
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    Enables comprehensive Excel operations and financial calculations including investment analysis, rental property management, expense tracking, and automated financial reporting. Supports creating Excel workbooks with advanced financial formulas, cash flow projections, and tax calculations for accounting and finance workflows.
    100
    5
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    Not graded
    quality
    C
    maintenance
    Enables synchronization and management of FoundryVTT journal entries within a Notion Story Bible, including media export and conflict resolution tools. It provides a Model Context Protocol interface for LLMs to preview, apply, and monitor data mirroring between tabletop RPG platforms and digital databases.
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    Enables AI agents to manage personal finances with deterministic, grounded tools for cash-flow projection, drift detection, reconciliation, and Todoist integration. All figures trace back to a local SQLite database.
    55
    MIT
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    quality
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    Enables AI assistants to interact directly with Roblox Studio to explore project hierarchies, edit scripts, and perform bulk object manipulations through over 37 specialized tools. This enhanced fork features long polling for near-instant responses and improved support for script editing and attribute management.
    52
    MIT
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    quality
    B
    maintenance
    A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.
    66
    Apache 2.0
  • A
    license
    Not graded
    quality
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    maintenance
    Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.
    MIT