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Anonyflow MCP Integration - AI Agent Tools

Connect Anonyflow with AI agents using Model Context Protocol (MCP). Seamlessly integrate Anonyflow tools and actions into Claude, Cursor, Windsurf, and other AI applications for enhanced workflow automation.

Features

  • Easy MCP setup with one command
  • Compatible with Claude, Cursor, Windsurf
  • 4+ available tools and actions
  • Built-in authentication and security
  • Real-time synchronization
  • No coding required

Category

Security & Identity Tools tools for AI automation

Setup Instructions

Install Anonyflow MCP server in minutes. Choose your AI platform: Cursor, Claude Desktop, Windsurf, or use HTTP endpoint for custom integrations. Follow our step-by-step guide to connect Anonyflow with your AI agent.

Benefits

  • Automate Anonyflow workflows with AI
  • Increase productivity with AI-powered Anonyflow operations
  • Seamless integration with popular AI platforms
  • Enterprise-grade security and reliability
  • 24/7 support and documentation

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Explore other MCP integrations: Gmail MCP, Notion MCP, GitHub MCP, Linear MCP, Slack MCP, Google Sheets MCP, and 100+ more AI agent tools.

Anonyflow
Anonyflow

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

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Users
6815
Tools
4
Last Updated
12h ago

Category

Security & Identity Tools

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2259USERS

Tools

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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())`