Rasa
Rasa is an open-core conversational AI framework for enterprises, built by Rasa Technologies GmbH, that natively leverages generative AI through CALM (Conversational AI with Language Models) to build reliable text and voice assistants. Rasa Pro is the pro-code framework (with Flows, custom actions, channel connectors, multi-LLM routing, observability and Kubernetes deployment); Rasa Studio is the companion no-code UI; and Rasa Open Source provides the underlying NLU and dialogue-management framework. The self-hosted runtime exposes an HTTP API for managing conversation trackers and training, testing and loading models, plus a Python SDK action server for custom actions.
Rasa publishes 5 APIs on the APIs.io network, including Domain API, Model API, Rasa SDK Action Server Endpoint API, and 2 more. Tagged areas include Company, Ai, Conversational AI, Chatbots, and Voice Assistants.
Rasa’s developer surface includes authentication, CLI, sandbox, changelog, documentation, API reference, quickstart, and 19 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Rasa Domain API
The Domain API from Rasa — 1 operation(s) for domain.
Rasa Model API
The Model API from Rasa — 6 operation(s) for model.
Rasa Rasa SDK Action Server Endpoint API
The Rasa SDK Action Server Endpoint API from Rasa — 1 operation(s) for rasa sdk action server endpoint.
Rasa Server Information API
The Server Information API from Rasa — 3 operation(s) for server information.
Rasa Tracker API
The Tracker API from Rasa — 7 operation(s) for tracker.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
rasa-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API