OneTool MCP
One MCP for developers — no tool tax, no context rot. 100+ tools including Brave, Google, Tavily, Context7, Excalidraw, AWS, Excel, Database, Playwright, Chrome DevTools, and more. Install once, access everything.
README
<p align="center"> <!-- mcp-name: io.github.beycom/onetool-mcp --> <a href="https://github.com/beycom/onetool-mcp"> <img src="https://raw.githubusercontent.com/beycom/onetool-mcp/main/docs/assets/logo.svg" alt="OneTool" width="80"> </a> </p>
<p align="center"> <strong>🧿 One MCP for developers - No tool tax, no context rot.<br>100+ tools including Brave, Google, Context7, Excalidraw, AWS, Version Checker, Excel, File Ops, Database, Image Vision, Playwright & Chrome DevTools Utils and many more.</strong> </p>
<p align="center"> <a href="https://pypi.org/project/onetool-mcp/"><img alt="PyPI" src="https://img.shields.io/pypi/v/onetool-mcp"></a> <a href="https://github.com/beycom/onetool-mcp/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/badge/license-GPLv3-blue"></a> <a href="https://www.python.org/"><img alt="Python" src="https://img.shields.io/badge/python-3.11%2B-blue"></a> <a href="https://github.com/beycom/onetool-mcp/stargazers"><img alt="GitHub stars" src="https://img.shields.io/github/stars/beycom/onetool-mcp"></a> </p>
<p align="center"> Works with Claude Code or any MCP client </p>
The Problem
Each MCP server consumes 3K-30K tokens per request. Connect 5 servers and you've burned 55K tokens before the conversation starts. Connect 10+ and you're at 100K tokens.
The math is brutal: Claude Opus 4.5 at $5/M input tokens, 20 days × 10 conversations × 10 messages × 3K tokens = $30/month per MCP server - even if you never use the tools.
And then there's context rot - your AI literally gets dumber as you add more tools (Chroma Research, 2025).
The Solution
OneTool is one MCP server that exposes tools as a Python API. Instead of reading tool definitions, your agent writes code:
>>> brave.search(query="react docs 2026")
Configure one MCP server. Use unlimited tools.
"Agents scale better by writing code to call tools instead. This reduces the token usage from 150,000 tokens to 2,000 tokens...a cost saving of 98.7%"
96% fewer tokens. 30× lower cost. No context rot.
Install
Requires uv:
uv tool install 'onetool-mcp[all]' # everything
onetool init --config ~/.onetool
Add to Claude Code:
claude mcp add onetool -- onetool --config ~/.onetool/onetool.yaml --secrets ~/.onetool/secrets.yaml
Or manually add to ~/.claude/mcp.json:
{
"mcpServers": {
"onetool": {
"command": "onetool",
"args": ["--config", "/Users/yourname/.onetool/onetool.yaml", "--secrets", "/Users/yourname/.onetool/secrets.yaml"]
}
}
}
That's it. All 100+ tools work out of the box.
Verify: onetool init validate --config ~/.onetool/onetool.yaml
Use from the CLI
Works as an MCP server and as a direct CLI — no MCP client needed. Useful for agent harnesses, scripts, and automation:
# Start a persistent execution host (keeps tool state across calls)
onetool direct start --config ~/.onetool/onetool.yaml
# Run any tool — JSON output, pipeable to jq
onetool direct run "ot.packs()" --format json | jq '.[0].name'
onetool direct run "brave.search(query='latest AI news')" --format raw
Features
| Feature | Description |
|---|---|
| 96% Token Savings | ~2K tokens no matter how many tools you add |
| 100+ Built-in Tools | Web search, AWS, databases, file ops, diagrams, conversions |
| Explicit Execution | See exactly what runs — >>> brave.search(q="AI") |
| Dynamic AWS | Proxy all 57+ AWSlabs MCP servers; SSO and credentials handled |
| Live Whiteboard | Draw diagrams with a Mermaid-compatible DSL via Excalidraw |
| MCP Server Proxy | Wrap existing MCP servers without the tool tax |
| Encrypted Secrets | age-encrypted secrets.yaml backed by your OS keychain |
| Forge Tools | Build new tools as part of the conversation |
| Image Vision | Routes to a cheaper, better vision model via ot_image (img). Zero host tokens. Supports local files, URLs, clipboard; PNG, JPEG, GIF, WebP, TIFF, HEIC, AVIF, SVG. |
| Smart Context | ot_context (ctx) — SQLite+FTS5 store. Search and navigate large outputs without filling the context window. |
| Smart Tools | Delegate to cheaper LLMs (10× savings) |
| Security Layers | AST validation, path boundaries, output sanitisation |
Tools
27+ packs, 230+ tools ready to use:
| Pack | Tools | Extra | Description |
|---|---|---|---|
aws |
whoami, login, start_packs, roles |
[dev] |
Dynamic AWS proxy (57+ servers) |
brave |
search, news |
[util] |
Web and news search |
chrome_util |
highlight_element, guide_user |
[dev] |
Browser annotations (DevTools) |
context7 |
search, doc |
[dev] |
Library documentation |
convert |
pdf_to_md, docx_to_md, pptx_to_md |
[util] |
Document conversion |
db |
query, schema, tables |
[dev] |
Database operations |
diagram |
create, get_playground_url |
[dev] |
Mermaid / Kroki diagrams |
excel |
read, write, query |
[util] |
Excel files |
file |
read, write, grep, slice, toc |
[util] |
File operations |
ground |
search |
[util] |
Google Grounding search |
knowledge |
search, ask, write, read, grep |
[util] |
RAG knowledge base (FTS5+vector) |
mem |
write, read, search, grep, ask, inspect, query |
[util] |
Persistent memory |
ot_forge |
create_ext, validate_ext, install_skills |
Scaffold new tool packs | |
ot_context (ctx) |
write, read, search, grep, slice, toc |
Smart context store (SQLite+FTS5) | |
ot_image (img) |
load, load_batch, ask, summary, list, delete, purge |
[util] |
Image vision via dedicated model |
ot_llm |
transform, transform_file |
LLM-powered transforms | |
ot_secrets |
init, encrypt, audit, rotate |
Secrets encryption | |
ot_timer |
start, elapsed, list |
Named timers | |
ot |
help, tools, stats, skills |
Introspection | |
package |
npm, pypi, cargo |
[dev] |
Package versions |
play_util |
highlight_element, guide_user |
[dev] |
Browser annotations (Playwright) |
ripgrep |
search, count |
[dev] |
Fast code search |
tavily |
search, search_batch, research |
[util] |
AI-native search |
webfetch |
fetch, fetch_batch |
[dev] |
Web fetching |
whiteboard |
open, draw, screenshot, save |
[dev] |
Live Excalidraw canvas |
📖 Complete tools reference — full summary table with all 230+ tools
MCP Server Proxy
Wrap any existing MCP server and call it explicitly - simple yaml config without the tool tax:
# .onetool/onetool.yaml
servers:
chrome_devtools:
type: stdio
command: npx
args: ["-y", "@anthropic-ai/chrome-devtools-mcp@latest"]
github:
type: stdio
command: npx
args: ["-y", "@anthropic-ai/github-mcp-server@latest"]
>>> mcp.call(server="github", tool="get_file_contents", arguments={"path": "README.md"})
Extending
Drop a Python file, get a pack. No registration, no config:
# .onetool/tools/wiki.py
pack = "wiki"
def summary(*, title: str) -> str:
"""Get Wikipedia article summary."""
import httpx
url = f"https://en.wikipedia.org/api/rest_v1/page/summary/{title}"
return httpx.get(url).json().get("extract", "Not found")
>>> wiki.summary(title="Python_(programming_language)")
Documentation
- Quickstart - 30 seconds to first tool call
- Installation - All platforms
- Configuration - YAML schema
- Tools Reference - All 100+ tools
- Security - Security layers
- Extending - Build your own
- Dev Docs - Internal developer documentation
- Specifications - OpenSpec specifications index
References
- Code Execution with MCP - Anthropic Engineering
- Context Rot - Chroma Research
Telemetry
OneTool sends anonymous startup pings (event type, version, OS). No personal data. Opt out: export DO_NOT_TRACK=1 or set telemetry.enabled: false in onetool.yaml. Details
Issues
Check for existing issues first:
- Browse the tracker: github.com/beycom/onetool-mcp/issues
- Search with GitHub syntax:
is:issue repo:beycom/onetool-mcp <keyword>
Raise a new issue: github.com/beycom/onetool-mcp/issues/new
Support
If you find OneTool useful:
License
GPLv3
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。