Balmas Mcp

com.balmasai由 balmasai.com 发布v0.3.0更新于 Oct 24, 2026

Agents read cleaned copies of your files: PII replaced with local consistent tokens. Read-only.

发布方自己的服务:Persqo

已验证STDIO仅桌面文件与存储安全与监控

概览

AI 生成的概览

让助手以本地匿名化副本的方式读取白名单内的本地文件,并提供还原工具把标记映射回真实值。

可以做什么
该服务器对已加入白名单的文件夹提供只读工具:list_files 返回名称、大小和类型而不返回内容,read_clean_file 返回本地匿名化后的文件文本,restore_text 在会话内把助手输出中的标记还原为原始值。姓名、身份证号、电话、邮箱、公司、金额以及 API 密钥、JWT、私钥块等机密在内容返回前会被替换为一致的标记,如 PERSON_001 或 SECRET_001。检测在本地进程中运行,使用确定性模式、词表和校验和,支持希伯来语和英语。支持的输入包括 txt、csv、md、docx、xlsx、pptx 以及带文本层的 pdf。
适用场景
当助手需要读取包含个人或敏感数据的文档,而你希望它看到的是脱敏副本而非原始文件时使用。它的定位是替代该助手对文件系统的直接访问,而不是与之并用。适用于邮件、人事、法律或财务文档审阅等强调最小化的场景。
运行要求
通过 stdio 在本地运行,通常用 npx 从 npm 包 balmas-mcp 启动。需要一个免费账户,并通过环境变量 BALMAS_API_KEY 提供 API 密钥,还要以位置参数传入至少一个白名单文件夹。可选 --level 参数选择 standard、strict 或 maximum。每次读取文件都会计入每月文档配额。
安装前请注意
BALMAS_API_KEY 是机密,会发送给服务提供方;文件内容、路径和替换映射据称保留在本地,但计量计数会离开本机。读取会消耗每月配额。检测是确定性的,可能漏掉敏感值,风险较高时应人工复核输出。只有当助手通过它读取文件、而不是拥有原始文件系统访问权限时才有用。没有文本层的扫描版 PDF 不受支持。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Balmas Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

balmas-mcp

Your AI agent reads everything. This gateway hands it redacted copies instead.

[npm] [license]

[balmas-mcp demo: the agent reads a contract and sees PERSON_001 instead of real names]

Why

AI agents are getting file access — and they over-read. Israel's Privacy Protection Authority put it bluntly in its guidance on AI agents: an email-sorting agent can analyze 15 years of correspondence for a 2-year task, infer your health and finances along the way, and leak what it learned. Their recommendation: strict permission minimization — read-only, dedicated folders, minimum necessary data.

balmas-mcp turns that advice into code, and goes one step further: it minimizes not just which files the agent reads, but what's inside them.

How it works

  1. You allowlist folders. The agent can't reach anything else — enforced with realpath checks, not honor rules.
  2. Every read is anonymized locally. Names, ID numbers, phones, emails, companies and amounts become consistent tokens (PERSON_001, ID_001) before the content is returned. Secrets too: API keys (OpenAI, Anthropic, GitHub, AWS, Stripe, Slack…), JWTs, private-key blocks, password: values and .env credentials become SECRET_001 at every level — and are never written back by restore_text. The same person is PERSON_001 in every file, so the agent's reasoning stays coherent. Detection runs in this process — deterministic patterns, lexicons and checksums (Israeli ID included). Hebrew and English.
  3. The answer comes back real. restore_text maps the tokens in the agent's final output back to the original values — locally.

Read-only by design: the server exposes no write tools at all.

Quickstart

  1. Create a free account at balmasai.com/signup (10 documents/month free).
  2. Create an API key (bk_...) at balmasai.com/app/team.
  3. Add to your MCP client config (Claude Desktop shown; Cursor and others are the same idea):
json
{  "mcpServers": {    "balmas": {      "command": "npx",      "args": ["-y", "balmas-mcp", "/Users/me/Documents/work", "--level", "strict"],      "env": { "BALMAS_API_KEY": "bk_..." }    }  }}

Options: allowed folders as positional args (required, one or more) · --level standard|strict|maximum (default strict).

Tools

ToolWhat the agent gets
list_filesNames, sizes, types inside allowed folders — never contents
read_clean_fileThe file's text after local anonymization
restore_textReal values back into its output (session tokens only)

Supported inputs: txt csv md docx xlsx pptx pdf (text layer).

Privacy model

Leaves your machine?
File contentsNever
File names / pathsNever
The replacement mapNever
Metering counters (file type + item counts)Yes — that's all

Each file read counts as one document against your account's monthly quota (free 10 / PRO 200 / TEAM 1,000). Full processing happens in this local process.

Honest limits

  • The gateway helps only when the agent reads files through it — grant it instead of raw filesystem access, not alongside.
  • Detection is deterministic: excellent, not clairvoyant. Review output where the stakes demand it.
  • Scanned PDFs (no text layer) need the OCR flow at balmasai.com/clean.

Built by BALMAS AI — sensitive data stops here. Docs: balmasai.com/mcp

来源:README.md,提交 29e7c36

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.3.0最新Sep 16, 2026

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