Personal Context MCP Template

Personal Context MCP Template

Serve your personal work-style manual as an MCP server so AI surfaces load the same single source of truth about your identity and preferences.

Category
访问服务器

README

Personal context MCP — template

Serve your personal "how to work with me" manual as an MCP server, so every AI surface you use (Claude Code, chat apps, scheduled agents) loads the same single source of truth about who you are and how you work.

This is a template: the profile sections here are placeholders with writing guidance. Fill them with your own content and you have your own personal-context server. It contains no real profile data and is deliberately independent from the author's actual profile.

The pattern

Whoever works with multiple AI surfaces ends up explaining themselves over and over — and the explanations drift apart. The fix:

  1. One canonical profile: identity, tracks, communication style, hard rules, routines, interfaces, pointers. Markdown, one file per section, in profile/.
  2. A tiny MCP server that serves it: get_profile (everything), get_section (one part), list_sections, plus each section as an MCP resource.
  3. Every surface starts by loading it. Interactive session or headless nightly run: same manual, same rules.
  4. Changing an agreement is one edit in the canon, not a hunt across seven system prompts. Bonus: a periodic drift-check comparing all places where your context lives against this canon.

Two design rules that keep it healthy:

  • Identity only, no live data. Tasks, metrics and budgets live in the systems that own them; the pointers section says where. Operational data in a profile goes stale by lunchtime.
  • Identity first. The section order is deliberate: if an agent reads only one file, it should be identity.md.

Quick start

Requires Python 3.10+.

pip install -r requirements.txt

# Local, stdio (simplest — Claude Code on the same machine):
claude mcp add my-profile --env MCP_TRANSPORT=stdio -- python -m app.server

# Or as an HTTP server (remote surfaces):
python -m app.server        # http://0.0.0.0:8080/mcp, health at /health

Then fill in the seven files under profile/ — each explains what belongs in it — and ask your agent to get_profile.

If you expose this over HTTP: put real access control in front (an authenticating proxy or tunnel). Your profile is personal by definition; the server itself does no auth.

Background

Why this pattern exists and how it behaves in daily use: the write-up in werken-met-cos (Dutch). Built on Anthropic's Model Context Protocol.

License

MIT — see LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选