Anonyflow logo
AI agent integrationAnonyflow

Anonyflow integration for multiplayer collaboration with AI agents using Claude Code or Codex

One governed connection your whole team and its AI agents can share, with approved actions and human review, so working in Anonyflow never means pasting credentials into a prompt.

Use Anonyflow from Claude Code

Bring Anonyflow context into engineering work while Type keeps app access attached to the teammate and workspace.

Automate Anonyflow with Codex

Let coding agents ask for the right app action, preserve conversation context, and keep humans in the approval loop.

Connect open agent workflows

Use Type as the collaboration layer around OpenClaw and other LLM workflows that need app access.

Security & Identity

What the Anonyflow integration exposes

AnonyFlow offers a simple and powerful service for encryption-based data anonymization and community sharing, enabling GDPR, CCPA, and HIPAA data privacy protection compliance.

One connection, many teammates

Connect Anonyflow once, then decide which teammates can use it for threads, automations, skills, and coding work.

Representative actions

  • Anonymize Packet

    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 anonymized.

  • Anonymize Value

    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']))` Limitations: Only supports list of strings, not nested structures.

  • Deanonymize Packet

    Tool to deanonymize a JSON data packet using your private key. Use after receiving an anonymized packet to recover specific fields.

  • Deanonymize Value

    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(DeanonymizeValueRequest(data=["<anonymized_string>"]))`

  • 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(TestConnectionRequest())`

Connection

API and auth details

AnonyFlow presents an API surface for privacy and sensitive-data protection workflows, positioning itself as a ransomware protection layer for sensitive data; public pages point to API-based integration, though detailed endpoint documentation appears limited or JavaScript-rendered in public search results.

Source
Type catalog metadata
Auth schemes
API key
FAQ

Questions people ask before connecting Anonyflow

Can Claude Code use Anonyflow?

Yes. Type lets an AI teammate use connected Anonyflow actions from a governed workspace context, so Claude Code work can reference the app without copying credentials into a local prompt.

Can Codex work with Anonyflow through Type?

Yes. Codex can collaborate through Type with app context, skills, and approved actions. The Anonyflow catalog entry includes public integration details and example capabilities where available.

Is this the same as a Anonyflow MCP server?

Type exposes connected app capabilities to AI teammates and coding agents through Type's integration layer. Teams use it when they want shared app access, human review, and teammate-level permissions around agent work.

More security & identity apps for AI teammates