brain-mcp
Connects claude.ai to a private GitHub repo of markdown files as a personal second brain, providing guarded read and write tools for knowledge management.
README
brain-mcp
Your second brain as a private git repo, wired into claude.ai.
A remote MCP server + web cockpit for a personal "second brain" made of plain markdown files in a private GitHub repo. Every new Claude chat can read your context (who you are, what you're working on, what you decided) and write back to it — through guarded, intent-shaped tools. A single-page web app renders the same brain as a live knowledge graph.
Runs entirely on the Cloudflare Workers free plan. No database, no vector store, no server to babysit: GitHub is the storage, git history is the backup, markdown is the format you'll still be able to read in 30 years.
What you get
- MCP connector for claude.ai — Streamable HTTP at
/mcp, OAuth 2.1 + PKCE handshake handled by@cloudflare/workers-oauth-provider, GitHub login restricted to a single allowed account (yours). - Read tools (tiered, token-efficient):
list_brain(file map + one-line summaries),get_brain_file,search_brain,get_graph,brain_health. - Write tools (intent-shaped — no raw "write anywhere"):
add_to_inbox(filename, content)— stage intoinbox/, never overwrites.append_decision(text)— append a dated entry todecisions/YYYY-MM.md(append-only).update_now(content)— replacenow.md, bump theupdated:date.upsert_project(name, content)— create/updateprojects/<slug>.md.upsert_file(path, content)— general fallback, restricted to known folders.delete_inbox_item(filename)— the only delete, restricted toinbox/.
- Guards on every write: refuses content that looks like an API key, token
or private key; refuses paths outside the brain's folders;
decisions/is append-only; deletes are restricted toinbox/. - Web cockpit at the Worker root (GitHub-gated session): force-directed knowledge graph (canvas + d3-force), file reader with wiki-links and backlinks, inline editor, inbox triage, health report (broken links, stale files, orphans), decision log, and a temporal replay of the brain's growth from git history. The UI language is currently French.
- Two themes, one anatomy — a dark "observatory" mode (pure black, uniform
grey nodes, white re-ink, faint coordinate grid) and a light "Swiss grid"
mode (white paper, nodes colored by file type and sized by degree, Swiss
red). A segmented switch (light | auto | dark) lives on the graph page and
in the sidebar footer; auto follows the actual sunset/sunrise for your
location (NOAA formula, no API). All deltas live in CSS tokens and
GRAPH_SKINS— seedesign/guidelines.md. Set your coordinates inapp/src/theme.tsand in the inline script ofapp/index.html(default: Paris). - PWA share target — share a link/text from your phone straight into
inbox/.
Architecture
claude.ai ──(OAuth 2.1 + PKCE)──► Worker (its own OAuth server)
│ GitHub login = identity gate (ALLOWED_LOGIN)
▼
/mcp Durable Object (MCP tools)
Browser ──(cookie session)──► /api + static SPA (Vite + React)
│
▼
GitHub contents API — your private brain repo
(fine-grained PAT, server-side only)
Two credentials, two jobs, never mixed:
- The GitHub OAuth App only proves who you are. Its token is never used to touch the repo.
- A fine-grained PAT (
GITHUB_BRAIN_TOKEN, scoped to the brain repo only, Contents read/write) does all repo access, server-side. claude.ai never sees it.
The brain repo
Create a separate, private repo (e.g. my-brain) holding plain markdown.
The layout the tools expect:
README.md # how your brain works (also read by Claude)
identity.md # who you are — stable base context
preferences.md # how you like to work
now.md # current focus + deadlines (updated often)
context/ # long-lived context (company, school, protocols…)
people/ # one file per person
projects/ # one file per project
domains/ # knowledge areas
decisions/YYYY-MM.md # append-only decision log
personal/ # whatever is yours
inbox/ # raw captures, triaged later
Files carry a small YAML frontmatter the graph and health report understand (all fields optional):
---
id: my-project
type: project
tags: [dev]
status: active
summary_l0: "One-line summary shown in list_brain."
updated: 2026-07-07
---
# My project
Links to other files as [[people/jane-doe]] wiki-links → graph edges.
Setup
Prereqs: Node 18+, a Cloudflare account (free), a GitHub account.
1. Install
npm install
npm --prefix app install
2. Configure your identity
Edit the vars block in wrangler.jsonc:
| Var | What it is |
|---|---|
BRAIN_OWNER |
GitHub login that owns the brain repo |
BRAIN_REPO |
Brain repo name (e.g. my-brain) |
BRAIN_BRANCH |
Branch to read/write (main) |
ALLOWED_LOGIN |
The only GitHub login allowed to authenticate |
TIMEZONE |
IANA timezone for date stamps (e.g. Europe/Paris) |
CENTER_PATH |
Optional: the graph's central "me" node (e.g. people/me.md) |
3. Create a GitHub OAuth App (login / identity)
GitHub → Settings → Developer settings → OAuth Apps → New OAuth App.
- Homepage URL: your future worker URL, e.g.
https://brain-mcp.<your-subdomain>.workers.dev - Authorization callback URL: the Worker's own callback —
https://brain-mcp.<your-subdomain>.workers.dev/callback
Architecture note: the Worker is its own OAuth 2.1 server for claude.ai; GitHub is only the upstream login. So GitHub redirects back to the Worker's
/callback, and that is the only callback GitHub needs. claude.ai registers its own redirect URIs with the Worker automatically via dynamic client registration (/register). You won't know the exact workers.dev subdomain until the first deploy — deploy once with a placeholder, then come back and set the real URL.
Copy the Client ID and generate a Client secret.
4. Create the fine-grained PAT (repo read/write)
GitHub → Settings → Developer settings → Fine-grained tokens → Generate new token.
- Repository access: Only select repositories → your brain repo
- Permissions:
Contents= Read and write (Metadata= Read is added automatically)
5. Cloudflare: KV + secrets
npx wrangler login
npx wrangler kv namespace create OAUTH_KV
# paste the printed id into wrangler.jsonc (REPLACE_WITH_KV_ID)
npx wrangler secret put GITHUB_CLIENT_ID
npx wrangler secret put GITHUB_CLIENT_SECRET
npx wrangler secret put GITHUB_BRAIN_TOKEN
6. Build the app & deploy
npm --prefix app run build
npx wrangler deploy
Your MCP endpoint is the printed URL + /mcp. If your OAuth App used a
placeholder host, update its Homepage/callback URLs to the real one now.
7. Connect
- claude.ai → Settings → Connectors → Add custom connector → paste
the
/mcpURL → Connect → log in with GitHub. Anyone who isn'tALLOWED_LOGINgets a 403. - Browser cockpit → open the worker URL → "Se connecter avec GitHub".
8. Smoke test
- In a new chat: "list my brain" → file map with summaries.
- "read my now.md" → file content.
- "add a test decision: validated the MCP write path" → appends to
decisions/YYYY-MM.md; confirm the commit on GitHub.
Local development
cp .dev.vars.example .dev.vars # fill in the three secrets
npx wrangler dev
UI-only work doesn't need any of that: npm --prefix app run dev then open
/mock.html — the API is stubbed with plausible fake data (app/src/dev-mock.ts).
Security model
See SECURITY.md for the full threat model. Short version: the
worker URL is public but serves nothing without a valid GitHub-verified
session; a single ALLOWED_LOGIN gate covers both surfaces (MCP + browser);
the repo PAT lives only in Worker secrets; every write goes through secret
detection and folder guards; rendered markdown is sanitized against stored XSS.
Disaster recovery (lost Cloudflare account, etc.) is covered in
RECOVERY.md — worst case degrades to a folder of readable
markdown, never to nothing.
License
MIT.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。