MCP server: One MCP server.

BALMAS

@balmasaiRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

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

Data privacyv0.3.0MITTypeScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npmbalmas-mcpv0.3.0

Run

npx -y balmas-mcp

MCP client config

{
  "mcpServers": {
    "balmas": {
      "command": "npx",
      "args": [
        "-y",
        "balmas-mcp"
      ]
    }
  }
}
README3 min read

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

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