Hey, MCP connects an AI assistant to external tools and data sources (like your sf-log-mcp giving Claude the ability to fetch Salesforce logs).
MCP is AI ↔ Tools
ACP is about multiple AI agents talking to and coordinating with each other, passing tasks down a pipeline.
ACP is Agent ↔ Agent.
Here for example,
MCP -> You ask Cursor/Claude "What's wrong with my Salesforce integration?" cursor autonomously calls your sf-log-mcp tools, fetches the logs, analyzes them, and replies. One AI, using tools.
ACP -> You ask an orchestrator agent "Debug my Salesforce integration and file a Jira ticket." It delegates to a log-fetching agent, which hands results to an analysis agent, which hands a summary to a Jira-writing agent that creates the ticket. Multiple agents, coordinating.
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Hey, MCP connects an AI assistant to external tools and data sources (like your sf-log-mcp giving Claude the ability to fetch Salesforce logs).
MCP is AI ↔ Tools
ACP is about multiple AI agents talking to and coordinating with each other, passing tasks down a pipeline.
ACP is Agent ↔ Agent.
Here for example,
MCP -> You ask Cursor/Claude "What's wrong with my Salesforce integration?" cursor autonomously calls your sf-log-mcp tools, fetches the logs, analyzes them, and replies. One AI, using tools.
ACP -> You ask an orchestrator agent "Debug my Salesforce integration and file a Jira ticket." It delegates to a log-fetching agent, which hands results to an analysis agent, which hands a summary to a Jira-writing agent that creates the ticket. Multiple agents, coordinating.