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    An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.
    2
    17 PyPI
    MIT
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    Gives AI agents structured, typed access to Canadian open data through a single server covering Statistics Canada tables, Census and public use microdata, the Bank of Canada, CMHC, federal agencies and federal, provincial, territorial and municipal open-data portals, in English and French. It offers roughly 200 tools for querying, planning multi-source queries, and generating reproduction code in R, Python, Stata or Julia.
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    160 PyPI
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    MIT
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    Enables MCP clients to screen lab results against published criteria with deterministic Python, search Australian contaminated-land guidance with cited passages, and draft guarded results sections whose numbers and citations are validated. All four tools are read-only and keep figures and citations under code control for a qualified person to check.
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    MIT
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    Enables AI tools to operate IBM i 5250 green screens, driving and testing interactive RPG programs by seeing screens, typing into fields, and pressing keys.
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    21 npm
    Apache 2.0
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    Read-only MCP server for Huawei GaussDB (centralized & distributed), built for coding agents. Three-layer write protection, multi-instance config, schema exploration and single-SELECT execution.
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    Apache 2.0
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    Provides a production-ready FastMCP Python server boilerplate with structured logging, rate limiting, and config validation for building MCP servers compatible with Claude and other agents.
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    MIT
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    Natural-language search and review of South Korea's national R&D regulations (acts, decrees, and administrative rules) for researchers and research administrators. Returns current in-force provisions with citations, fetched live from the official national law database (law.go.kr Open API).
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    139 PyPI
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    Apache 2.0
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    Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.
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    22 PyPI
    163
    MIT
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    A blueprint for building Python MCP servers using FastMCP, with uv for dependency management and ruff for code quality, enabling rapid development of MCP tools, resources, and prompts.
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    A collection of MCP servers for managing Proxmox, Linux, Windows, Docker, npm, and Python in a homelab environment.
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    MIT
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    This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.
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    MIT