Main features
Discover the powerful features that make Agentsfera the perfect choice for your AI integration needs.
Built-in Authentication
Use the way you speak
Only one connection
Smart automatic app selection
Built for teams
Security first and Data Privacy
Built-in Authentication
Agentsfera provides two built-in authentication mechanisms:
OAuth 2.0 Client Credentials Grant
Machine-to-machine flows using client_id/client_secret, private_key_jwt, or mTLS
Service Account Tokens
Direct access via service account tokens like short-lived JWTs or system-specific API tokens
The choice of mechanism depends on the target application's supported authentication model, with scopes, audiences, token TTL, rotation, and revocation policies configured per integration.

How it works
Your AI solution needs real-time data and can request it via natural language or by manually selecting tools.
User authorization for the requested data is verified ; if needed, Agentsfera initiates authentication.
Agentsfera invokes the relevant MCP servers on behalf of the verified user, executing operations securely
Your AI solution receives the requested result as the processed data response
Supported LLMs
Our platform natively supports multiple Large Language Models (LLMs), enabling clients to choose the one that best fits their specific use case and compliance requirements.

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