protect_data
Protect Data
Encrypt fields within a data object using AnonyFlow. Select field names with keys, or use an empty keys array to protect the entire object. Returns the full API response and the processed object in values.
Ask your agent in plain language. Each of these maps to a real tool on the server.
protect_data
Encrypt fields within a data object using AnonyFlow. Select field names with keys, or use an empty keys array to protect the entire object. Returns the full API response and the processed object in values.
unprotect_data
Decrypt a data object previously protected by the same AnonyFlow account. Select field names with keys, or use an empty keys array to process every field. Returns the full API response and processed object; a field value of "Error" can indicate a decryption failure.
protect_value
Encrypt and anonymize a single sensitive value using AnonyFlow's encryption service. Ideal for quick anonymization of individual data points like a name, email address, phone number, or SSN without needing to construct a full data object.
check_connection
Check whether the configured API key can connect to the AnonyFlow API.
unprotect_value
Decrypt a single string previously protected by the same AnonyFlow account.
Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.
{"mcpServers": {"metorial": {"url": "<your-magic-mcp-url>"}}}
claude mcp add --transport http metorial <your-magic-mcp-url>
codex mcp add metorial --url <your-magic-mcp-url>codex mcp login metorial
One governed layer for every app your agents reach, not a separate connector per tool.
Encrypt and decrypt sensitive strings and selected fields in data objects using the AnonyFlow cloud API. Check the configured API key connection and inspect full provider responses alongside processed values.
Common questions about connecting Anonyflow to AI agents with Metorial.