经 AI Skill Hub 精选评估,MCP数据代理 获评「推荐使用」。这款MCP工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 7.5 分,适合有一定技术背景的用户使用。
MCP数据代理 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
MCP数据代理 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/Kaelio/ktx-ai-data-agents-mcp-context-skills
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mcp----": {
"command": "npx",
"args": ["-y", "ktx-ai-data-agents-mcp-context-skills"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 MCP数据代理 执行以下任务... Claude: [自动调用 MCP数据代理 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"mcp____": {
"command": "npx",
"args": ["-y", "ktx-ai-data-agents-mcp-context-skills"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
<p align="center"> <a href="https://www.npmjs.com/package/@kaelio/ktx"><img src="https://img.shields.io/npm/v/@kaelio/ktx?style=flat-square&color=f97316" alt="npm version" /></a> <a href="https://codecov.io/gh/Kaelio/ktx"><img src="https://codecov.io/gh/Kaelio/ktx/graph/badge.svg?branch=main" alt="Codecov" /></a> <a href="https://github.com/Kaelio/ktx/actions/workflows/ci.yml?query=branch%3Amain"><img src="https://img.shields.io/github/actions/workflow/status/Kaelio/ktx/ci.yml?branch=main&label=tests&style=flat-square" alt="Tests" /></a> <a href="https://docs.kaelio.com/ktx/docs/"><img src="https://img.shields.io/badge/docs-ktx-22c55e?style=flat-square" alt="Documentation" /></a> <a href="https://join.slack.com/t/ktxcommunity/shared_invite/zt-3y9b44m1x-LVyNNJD5nwaZHq4XS29LMQ"><img src="https://img.shields.io/badge/slack-join%20community-4A154B?style=flat-square&logo=slack&logoColor=white" alt="Join the ktx Slack community" /></a> <a href="https://github.com/Kaelio/ktx/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-Apache%202.0-blue?style=flat-square" alt="License" /></a> <a href="https://www.ycombinator.com/companies?batch=P25"><img src="https://img.shields.io/badge/Y%20Combinator-P25-orange?style=flat-square" alt="Y Combinator P25" /></a> </p>
<p align="center"> <a href="https://docs.kaelio.com/ktx/docs/getting-started/quickstart"><b>Quickstart</b></a> · <a href="https://docs.kaelio.com/ktx/docs/cli-reference/ktx"><b>CLI Reference</b></a> · <a href="https://docs.kaelio.com/ktx/docs/ai-resources/agent-quickstart"><b>Agent Setup</b></a> · <a href="https://join.slack.com/t/ktxcommunity/shared_invite/zt-3y9b44m1x-LVyNNJD5nwaZHq4XS29LMQ"><b>Slack</b></a> </p>
---
ktx is a self-improving context layer that teaches agents how to query your warehouse accurately - from approved metric definitions, joinable columns, and business knowledge it builds and maintains for you.
[!NOTE] Run ktx with your own LLM API keys or a Claude Pro/Max subscription. No extra usage billing from ktx.
<p align="center"> <img src="docs-site/public/images/ingestion-flow-transparent.svg" alt="ktx ingestion flow from source systems through validation to wiki and semantic-layer outputs" width="900" /> </p>
npm install -g @kaelio/ktx
ktx setup
ktx status
ktx setup creates or resumes a local ktx project, configures providers and connections, builds context, and installs agent integration.
Example ktx status after setup:
ktx project: /home/user/analytics
Project ready: yes
LLM ready: yes (claude-sonnet-4-6)
Embeddings ready: yes (text-embedding-3-small)
Databases configured: yes (warehouse)
Context sources configured: yes (dbt_main)
ktx context built: yes
Agent integration ready: yes (codex:project)
[!TIP] Already using an agent? Ask Claude Code, Codex, Cursor, or OpenCode from your project directory:> Run npx skills add Kaelio/ktx --skill ktx and use the ktx skill to install > and configure ktx in this project. >
[!IMPORTANT] Ifktx statusprintsktx mcp start --project-dir ..., run it before opening your agent client.
| General-purpose agent | Traditional semantic layer | **ktx** | |
|---|---|---|---|
| Builds warehouse context automatically | — | — | ✓ |
| Detects joinable columns + resolves fan/chasm traps | — | Manual | ✓ |
| Approved, reusable metric definitions | — | ✓ | ✓ |
| Absorbs wiki / Notion / team knowledge | — | — | ✓ |
| Flags contradictions across sources | — | — | ✓ |
| Ships CLI + MCP for agent execution | Partial | — | ✓ |
| Read-only by design | n/a | n/a | ✓ |
- Does ktx send my schema or query results to a hosted service? No. ktx runs locally. The only data leaving your machine is what you send to the LLM provider you configured. - Which LLM backends are supported? Anthropic API, Google Vertex AI, AI Gateway, and the local Claude Code session through the Claude Agent SDK. See LLM configuration. - How is ktx different from a dbt or MetricFlow semantic layer? ktx ingests those layers and combines them with raw-table introspection and wiki content. Agents get one searchable surface instead of three disconnected ones - and ktx flags contradictions across sources. - Does ktx need a running server? There is no hosted service. The local MCP daemon runs on demand via ktx mcp start when an agent client needs it. - Is my warehouse safe? Yes. Connections are read-only - ktx never writes to your database.
高质量的MCP工具,为数据分析提供了强大的支持
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
AI Skill Hub 点评:MCP数据代理 的核心功能完整,质量良好。对于Claude Desktop / Claude Code 用户来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | ktx-ai-data-agents-mcp-context-skills |
| 原始描述 | 开源MCP工具:ktx is an executable context layer for data and analytics agents 🐙 Allow Claude。⭐551 · TypeScript |
| Topics | mcpagentai-agenttypescript |
| GitHub | https://github.com/Kaelio/ktx-ai-data-agents-mcp-context-skills |
| License | Apache-2.0 |
| 语言 | TypeScript |
收录时间:2026-05-30 · 更新时间:2026-05-30 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端