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The MuleSoft
AI Connectors

Ramp your AI capabilities quickly. Easily embed the latest AI technologies into your existing IT infrastructure with a comprehensive set of connectors for MCP, A2A, and more.

Simplify Autonomous Agent Development.

The MuleSoft AI Connectors streamline the design, build, and management of AI agents . Unify a wide range of cutting edge AI tooling such as Large Language Models (LLMs) and Vector Stores, which enable developers to create enterprise-grade AI solutions with ease.

Bridge AI Models and Enterprise Systems.

Seamlessly integrate diverse AI functionalities into existing enterprise applications with the MuleSoft AI connectors. Facilitate the creation of intelligent workflows that can leverage both Salesforce and non-Salesforce data and systems.

Enhance AI Agent Capabilities & Communication.

Empower AI agents with advanced capabilities such as the Model Context Protocol (MCP) and Agent-to-Agent (A2A). Enable agents to interact with various data sources and perform complex actions within any system, forming the foundation of your multi-agent, IT evolution.

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The Model Context Protocol (MCP) Connector

This connector leverages the Model Context Protocol (MCP) to facilitate agent-to-system communication by enabling AI clients to interact with APIs, connectors, and apps within MuleSoft. This helps foster the seamless integration of LLM applications with your APIs, simplifying complex endpoints into more manageable tools for agentic clients.

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The Agent-to-Agent (A2A) Connector

The Agent2Agent (A2A Connector) enables inter-agent communication for LLM agents and other applications by implementing the A2A protocol. This connector allows agents to interact and delegate specialized tasks to other agents, facilitating seamless collaboration. The A2A protocol supports capability discovery, interaction negotiation, and secure information exchange, ensuring efficient and secure communication between agents.

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The Einstein Connector

The Einstein Connector allows developers to design, develop, and manage AI agents within Anypoint Platform using the Einstein Trust Layer. The Einstein Trust Layer ensures secure, reliable, and ethical use of AI by monitoring inputs and outputs, managing data privacy, and providing governance tools to control and track AI operations.

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The Agentforce Connector

The MuleSoft Agentforce Connector allows developers to integrate Agentforce with external systems via Anypoint Platform. It simplifies connecting MuleSoft applications with Agentforce, enabling new experiences and streamlining manual processes.

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Generally Available

The Vector Connector

The Vector Connector empowers MuleSoft users to seamlessly access and integrate with a variety of external vector stores and databases with a standardized, low-code interface. Designed to enhance AI capabilities, it supports advanced operations like storing and querying embeddings, enabling sophisticated AI-driven applications and Retrieval-Augmented Generation (RAG).

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Generally Available

The Inference Connector

The Inference Connector makes it even easier for developers to build and manage AI-driven agents within the MuleSoft Anypoint Platform by connecting to many of the top LLMs and AI microservices.

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Coming soon

The Amazon Bedrock Connector

This connector enables support for Amazon Bedrock in Mule applications. Amazon Bedrock is a fully managed service offering top foundation models (FMs) from leading AI companies. It simplifies generative AI application development and is serverless, eliminating infrastructure management requirements and ensuring secure integration with AWS services.

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