# Anonyflow — MCP server on mcp.ai
> Connect your Anonyflow account and use 5 tools for security and identity straight from your AI agent. Connect with your own API key. AnonyFlow offers a simple and powerful service for encryption-based data anonymization and community sharing, enabling GDPR, CCPA, and HIPAA data privacy protection compliance.

By: mcp.ai · official
Page: https://mcp.ai/anonyflow

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_anonyflow?ms=1787291340000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/anonyflow/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/anonyflow/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/anonyflow/skill.md
Postman collection (v2.1): https://mcp.ai/anonyflow/postman.json

## Tools
- anonyflow_anonymize_packet(data: object, keys: string[]) — Tool to anonymize a JSON data packet with support for partial anonymization. Use when you need to conceal specific fields in structured data. If keys array is empty, the complete data packet will be a
- anonyflow_anonymize_value(data: string[]) — Tool to anonymize a string or array of string values. Use when you need to conceal sensitive text before storage or transmission. Example: `AnonymizeValue().execute(AnonymizeValueRequest(data=['secret
- anonyflow_deanonymize_packet(data: object, keys: string[]) — Tool to deanonymize a JSON data packet using your private key. Use after receiving an anonymized packet to recover specific fields.
- anonyflow_deanonymize_value(data: string[]) — Tool to deanonymize one or more anonymized string values. Use when you need to recover the original plaintext values after encryption-based anonymization. Example: `DeanonymizeValue().execute(Deanonym
- anonyflow_test_connection() — Tool to test the connection to the AnonyFlow API. Use when verifying that the AnonyFlow service is reachable and operational before performing anonymization tasks. Example: `TestConnection().execute(T

## Example prompts
- "What can I do in Anonyflow?"
- "Show me a summary of my Anonyflow account"

## Links
Docs: https://mcp.ai/docs/mcps/anonyflow
Website: https://mcp.ai/mcps/anonyflow