Obsidian Second Brain MCP
Enables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.
README
Obsidian Second Brain MCP and Skill
Local MCP server and Codex skill for Obsidian-backed project memory.
This project turns an Obsidian vault into durable project context for AI coding agents. It is meant to complement tools like CodeGraph:
- CodeGraph answers: "How does this code work?"
- Obsidian Second Brain MCP answers: "What do we know about this project, bug, feature, decision, session, release, and next action?"
The server is local-first. It reads and appends Markdown files in your Obsidian vault. It does not require a cloud service, API key, or hosted database.
What It Provides
MCP tools:
project_memory_start- load a compact project context pack before meaningful work.project_memory_status- check repo-to-Obsidian linkage.project_memory_log_bug- record bug reports, investigation, fixes, verification, and next actions.project_memory_log_feature- record feature intent, implementation, verification, and follow-up.project_memory_record_decision- record durable choices and rationale.project_memory_close_session- write a session closeout with outcome, changed files, verification, open questions, next actions, and deployment status.
CLI commands:
obsidian-second-brain-mcp serveobsidian-second-brain-mcp initobsidian-second-brain-mcp statusobsidian-second-brain-mcp agents-snippet
Codex skill:
skills/obsidian-second-brain-mcp/SKILL.md
Requirements
- Node.js 20 or newer.
- An Obsidian vault stored on the local filesystem.
- An AI agent that supports MCP over stdio, such as Codex CLI.
Install From Source
git clone https://github.com/YOUR-USERNAME/obsidian-second-brain-mcp-and-skill.git
cd obsidian-second-brain-mcp-and-skill
npm install
npm run build
npm link
Confirm the CLI is available:
obsidian-second-brain-mcp --help
Configure Codex MCP
Add this MCP server to your Codex config. The exact config file location may vary by Codex version, but a common location is:
~/.codex/config.toml
Example:
[mcp_servers.obsidian_second_brain]
command = "obsidian-second-brain-mcp"
args = ["serve"]
Restart Codex after editing MCP config.
Link A Repo To An Obsidian Project
From the repo you want to document:
obsidian-second-brain-mcp init \
--project "Example Project" \
--vault "/absolute/path/to/your/Obsidian Vault" \
--obsidian-project "01_Projects/Example Project" \
--write-agents
This creates:
.obsidian-second-brain.json
AGENTS.md
It also creates missing starter notes inside the configured Obsidian project folder:
Project Brief.md
Bugs.md
Decisions.md
Runbook.md
Next Actions.md
Activity Log.md
Changelog.md
Releases.md
Open Questions.md
Session Log.md
Check the link:
obsidian-second-brain-mcp status
Repo Config
Each linked repo has a .obsidian-second-brain.json file:
{
"projectName": "Example Project",
"projectCode": "EP",
"vaultPath": "/absolute/path/to/your/Obsidian Vault",
"obsidianProjectPath": "01_Projects/Example Project",
"hubNote": "EP_ExampleProject_Home.md"
}
If you do not want to store vaultPath in each repo, omit it and set:
export OBSIDIAN_VAULT_PATH="/absolute/path/to/your/Obsidian Vault"
Do not commit .obsidian-second-brain.json if it contains private local paths. Use examples/project-config.example.json as the public template.
Install The Codex Skill
Copy the skill folder into your Codex skills directory:
mkdir -p ~/.codex/skills
cp -R skills/obsidian-second-brain-mcp ~/.codex/skills/
Restart Codex. The skill tells Codex when to use the MCP tools during project work.
Intended Agent Workflow
When you start work in a linked repo, the agent should:
- Call
project_memory_startwith the repo path. - Use the returned project notes as durable context.
- For bugs, call
project_memory_log_bugduring investigation and again when fixed or verified. - For features, call
project_memory_log_featurewhen scope or implementation becomes clear. - Use
project_memory_record_decisionfor durable choices. - Before final response, call
project_memory_close_sessionif meaningful work happened. - Ask whether to deploy or release when deployment status is relevant but not known.
Privacy
This repo contains no personal vault paths, project names, API keys, or private notes.
The MCP server runs locally and only reads/writes files in the vault path you configure. It does not send your notes anywhere.
You should still avoid committing:
.obsidian-second-brain.jsonfiles with private paths.- Obsidian notes copied from a private vault.
- Secrets or API keys in project notes.
Development
npm install
npm run typecheck
npm run build
Run the server manually:
obsidian-second-brain-mcp serve
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。