nb-mcp-server

平台与服务

by emcd

封装 nb CLI 的 MCP server,为 LLM 提供更友好的笔记记录与管理能力。

什么是 nb-mcp-server

封装 nb CLI 的 MCP server,为 LLM 提供更友好的笔记记录与管理能力。

README

nb-mcp

MCP server wrapping the nb CLI for LLM-friendly note-taking.

Motivation

Using nb directly via shell has two problems for LLM assistants:

  1. Backtick escaping: Markdown content with backticks triggers shell command substitution, corrupting notes.

  2. Notebook context: nb assumes a default notebook, making per-project use awkward.

This MCP server solves both by:

  • Accepting content as JSON parameters (no shell escaping needed)
  • Qualifying all commands with an explicit notebook

Quick Start

Prerequisites

Install nb by following the official instructions: nb installation guide.

Installation

From crates.io:

bash
cargo install nb-mcp-server

Or download a prebuilt binary from GitHub Releases.

Build from Source

bash
cargo build --release

Run

With default notebook from environment:

bash
NB_MCP_NOTEBOOK=myproject ./target/release/nb-mcp

Or via CLI argument (takes precedence):

bash
./target/release/nb-mcp --notebook myproject

Disable commit and tag signing in the notebook repository:

bash
./target/release/nb-mcp --notebook myproject --no-commit-signing

Print the installed version:

bash
./target/release/nb-mcp --version

Show the resolved notebook path and state directory:

bash
./target/release/nb-mcp --show-paths

MCP Configuration

Add to your MCP client configuration (e.g., .mcp.json):

json
{
  "mcpServers": {
    "nb": {
      "command": "/path/to/nb-mcp",
      "args": ["--notebook", "myproject"]
    }
  }
}

Commands

All commands are accessed via the nb tool with a command parameter to reduce the token footprint of the MCP server. The args field must be a JSON object. Stringified JSON payloads are rejected.

Notes

CommandDescriptionKey Arguments
nb.addCreate a notetitle, content, tags[], folder
nb.showRead a noteid (alias: selector)
nb.editUpdate a noteid (alias: selector), content, mode (replace default, append, prepend)
nb.deleteDelete a noteid (alias: selector)
nb.moveMove or rename a noteid (alias: selector), destination
nb.listList notesfolder, tags[], limit ([ ] / [x] indicate todo status; leading glyphs are item markers)
nb.searchFull-text searchqueries[] (required), mode (any default, all), tags[]

Todos

CommandDescriptionKey Arguments
nb.todoCreate a tododescription, optional tasks[], tags[]
nb.doMark completeid (alias: selector), optional task_number
nb.undoReopenid (alias: selector), optional task_number
nb.tasksList todosoptional status (open or closed), optional recursive (true default)

Organization

CommandDescriptionKey Arguments
nb.bookmarkSave a URLurl, title, tags[], comment
nb.importImport file/URLsource, folder, filename, convert
nb.foldersList foldersparent
nb.mkdirCreate folderpath
nb.notebooksList notebooks only(none)
nb.statusNotebook info(none)

Examples

Create a note with code:

json
{
  "command": "nb.add",
  "args": {
    "title": "API Design Notes",
    "content": "# API Design\n\nUse `GET /items` for listing.\n\n```python\nresponse = client.get('/items')\n```",
    "tags": ["design", "api"],
    "folder": "docs"
  }
}

Search for notes:

json
{
  "command": "nb.search",
  "args": {
    "queries": ["API", "design"],
    "mode": "any",
    "tags": ["design"]
  }
}

Tagging Suggestions

For multi-LLM projects, consider using consistent tag prefixes (optional). Example categories and prefixes:

CategoryPatternExamples
Collaboratorllm-<name>llm-claude, llm-gpt
Componentcomponent-<name>component-api, component-ui
Task typetask-<type>task-bug, task-feature
Statusstatus-<state>status-review, status-blocked

Configuration

Notebook Resolution

Priority order:

  1. Per-command notebook argument (highest)
  2. CLI --notebook flag
  3. NB_MCP_NOTEBOOK environment variable
  4. Git-derived default from the master worktree path

If no notebook can be resolved, commands fail with a configuration error. The server does not fall back to nb's default notebook.

If the resolved notebook does not exist, the server creates it automatically. Use --no-create-notebook to disable automatic creation.

Logging

Logs are written to ~/.local/state/nb-mcp/{project}--{worktree}.log (XDG-compliant).

For Git worktrees, logs are named after both the master project and the worktree basename to avoid collisions between multiple MCP server instances.

Use --show-paths to print the resolved notebook path and state directory.

Control log level with RUST_LOG:

bash
RUST_LOG=debug nb-mcp --notebook myproject

Commit Signing

Use --no-commit-signing to disable commit and tag signing in the notebook repository. The server updates the notebook repository's local Git config so signing prompts do not block MCP tool calls.

Contributing

See the contribution guide and code of conduct:

License

Apache 2.0

常见问题

nb-mcp-server 是什么?

封装 nb CLI 的 MCP server,为 LLM 提供更友好的笔记记录与管理能力。

相关 Skills

MCP构建

by anthropics

Universal
热门

聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。

想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。

平台与服务
未扫描114.1k

Slack动图

by anthropics

Universal
热门

面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。

帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。

平台与服务
未扫描114.1k

MCP服务构建器

by alirezarezvani

Universal
热门

从 OpenAPI 一键生成 Python/TypeScript MCP server 脚手架,并校验 tool schema、命名规范与版本兼容性,适合把现有 REST API 快速发布成可生产演进的 MCP 服务。

帮你快速搭建 MCP 服务与后端 API,脚手架完善、扩展顺手,尤其适合想高效验证服务能力的开发者。

平台与服务
未扫描10.2k

相关 MCP Server

Slack 消息

编辑精选

by Anthropic

热门

Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。

这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。

平台与服务
83.4k

by netdata

热门

io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。

这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。

平台与服务
78.4k

by d4vinci

热门

Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。

这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。

平台与服务
35.4k

评论