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    A local file conversion server supporting audio, video, image, document, and specialized formats via Model Context Protocol. It enables batch and single-file conversions without cloud dependencies.
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    MIT
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    MCP server that gives AI agents full access to ITASCA PFC - browse documentation, run simulations, capture plots, all through natural conversation. Built on the Model Context Protocol, pfc-mcp turns any MCP-compatible AI client (Claude Code, Codex CLI, Gemini CLI, OpenCode, toyoura-nagisa, etc.) into a PFC co-pilot that can look up commands, execute scripts, monitor long-running simulations.
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    MIT
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    Enables AI assistants to securely connect to Snowflake data warehouses and execute SQL queries through natural language interactions. Supports multiple authentication methods and provides formatted query results with built-in security controls.
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    An MCP server that enables programmatic access to IETF RFC documents, allowing users to fetch, search, and extract specific sections from RFCs.
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    Apache 2.0
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    An MCP server for obtaining, parsing and reading RFC documents from the ietf.org website, providing programmatic interactive tools.
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    Apache 2.0
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    An MCP server for creating, loading, and editing RFC TXT documents using the rfc-editor Python library. It provides a suite of tools to manage document components including sections, abstracts, titles, and author metadata.
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    A Model Context Protocol (MCP) server that provides seamless integration with SAP systems through RFC (Remote Function Call) connections. This server enables AI assistants and applications to interact with SAP functions, retrieve metadata, and perform operations with enhanced caching and version compatibility.
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    MIT
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    MCP server for IFC geometric audit, providing tools to detect space clashes, extract space inventories, compute surface losses, check boundaries, and verify opening correspondences in BIM models.
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    Apache 2.0
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    An enterprise-grade MCP server that enables AI agents to execute SAP RFC functions and read business data securely through the Model Context Protocol.
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    Enables AI agents to load, query, and analyze IFC building model files, including spatial structures, elements, properties, materials, and geometry.
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    MIT
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    Integrates Snowflake Cortex AI features like Cortex Search and Analyst into the MCP ecosystem, enabling retrieval-augmented generation and structured data analysis. It also provides tools for chat completions and agentic orchestration using Snowflake-hosted large language models.
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    Apache 2.0
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    Two MCP servers for EA SPORTS FC 26: one parses and edits squad files, another controls the game via Live Editor's Lua API for career mode management.
    Last updated
    MIT