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BALMAS anonymization gateway for AI agents (MCP server): agents get cleaned copies of your documents — names, IDs, phones, companies AND secrets (API keys, passwords, private keys) become consistent tokens locally, before any content reaches the agent. Re
Give your AI agent cleaned copies of your documents instead of the real
thing. Every file the agent reads through this MCP server passes through
BALMAS's deterministic detection engine locally, in this process: names,
Israeli ID numbers, phones, emails, companies, amounts and more are replaced
with consistent tokens (PERSON_001, ID_001…) before any content is
returned. Hebrew and English.
This is the technical enforcement of the permission-minimization approach recommended by Israel's Privacy Protection Authority for AI agents:
password: values
and .env credentials become SECRET_001 at every level, and are never
restored back into free text.PERSON_001 in every
file, so the agent's reasoning stays coherent across documents.restore_text puts the real values back into the agent's
final answer, locally.bk_...) at balmasai.com/app/team.{
"mcpServers": {
"balmas": {
"command": "npx",
"args": ["-y", "balmas-mcp", "/Users/me/Documents/work", "--level", "strict"],
"env": { "BALMAS_API_KEY": "bk_..." }
}
}
}
Any MCP-compatible client (Claude Desktop, Cursor, etc.) works the same way:
point it at balmas-mcp with the folders you allow.
--level standard|strict|maximum — which categories are replaced
(default strict: personal + financial + organizational data).--key bk_... — BALMAS API key (or the BALMAS_API_KEY env var, required).Each file the agent reads counts as one document against your account's monthly quota (free 10 / PRO 200 / TEAM 1,000 — resets on the 1st). Metering sends anonymous counters only (file type, item counts): never file contents, never file names, never paths. All detection and replacement run in this local process.
| Tool | What it does |
|---|---|
list_files | Names, sizes and types inside allowed folders — never contents |
read_clean_file | The file's text after local anonymization |
restore_text | Real values back into the agent's output (session tokens only) |
Supported inputs: txt, csv, md, docx, xlsx, pptx, pdf (text
layer; scanned PDFs → use the OCR flow at balmasai.com/clean).
Detection is deterministic (patterns + lexicons + checksums), excellent but not clairvoyant — review output where the stakes demand it. And the gateway only helps if the agent reads files through it: grant it instead of raw filesystem access, not alongside.
Built by BALMAS AI — sensitive data stops here.
FAQs
BALMAS anonymization gateway for AI agents (MCP server): agents get cleaned copies of your documents — names, IDs, phones, companies AND secrets (API keys, passwords, private keys) become consistent tokens locally, before any content reaches the agent. Re
The npm package balmas-mcp receives a total of 38 weekly downloads. As such, balmas-mcp popularity was classified as not popular.
We found that balmas-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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