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FirstData

by MLT-OSS · Python · ★ 156

View on GitHub ↗

The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base

#ai#api-directory#awesome-list#data-catalog#data-sources#datasets#fact-checking#government-data#knowledge-base#llm#mcp#mcp-server#model-context-protocol#open-data#public-data#reference-data#research-data#statistics#structured-data#world-bank

Install

pip install git+https://github.com/MLT-OSS/FirstData.git

Claude Desktop config

Add this to your claude_desktop_config.json: 

{
  "mcpServers": {
    "firstdata": {
      "command": "uvx",
      "args": [
        "git+https://github.com/MLT-OSS/FirstData.git"
      ]
    }
  }
}

From the README

**[English](README.en.md)** | 中文 | **[日本語](README.ja.md)** 在生成式 AI 重新塑造互联网的今天，**"信息"变得空前充沛，而"真实"正在变得稀缺**。 当噪音、拼贴与幻觉成为默认背景，**可信的一手证据（Primary Sources）不再只是参考资料，而是整个智能体系的地基**。 本项目旨在构建一个**面向全球的、权威的、结构化的 Primary Sources 知识库**。 我们系统性发掘并聚合跨领域高可信信源——覆盖科研学术、政务公开、法律法规、公司披露与财报、标准规范与行业权威资料等——**将分散、非标、难复用的原始内容，转化为可追溯、可验证、可引用的"核心事实（Core Facts）"**，并保留完整证据链与版本历史，确保每一条结论都能"回到原文"。 ✅ **为模型提供抗幻觉、抗投毒的可信底座** - 计划覆盖1000+权威数据源（来源均为中外政府部门、国际组织、学术机构、行业权威协会） - 100%的URL验证，确保链接可用 ✅ **为 Deep Research 提供可计算、可复查的证据链闭环** - 结构化元数据体系，包含完整访问路径 - 支持编程访问，实现自动化证据追溯 ✅ **让 AI 从"模糊概括二手信息"升级为"基于原文证据的严谨推理与引用"** - MCP智能Agent理解复杂…
Read full README on GitHub →

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