CRM

Model Context Protocol (MCP) is a key component of Agentforce 3, helping AI agents scale through standardized access to tools and services. As part of this effort, Salesforce has released a local MCP server for Salesforce Developer Experience (DX) — giving agentic IDEs, like Agentforce for Developers, Cursor, and Claude Desktop, a reliable way to […]

Today, we’re excited to announce the pilot release of Salesforce Hosted Model Context Protocol (MCP) Servers — a groundbreaking capability that enables AI agents to securely access your Salesforce data and help teams across your entire organization. This launch is part of our broader commitment to agentic interoperability, creating an open ecosystem where AI agents

Remember when customer service meant waiting on hold for 20 minutes listening to elevator music? Those days are fading fast. Today’s customers expect help where they already spend their time — scrolling through X, posting on Instagram, or venting on Facebook. This style of customer service management isn’t some pie-in-the-sky vision of the future. According

The next era of customer experience has already begun—transforming the way businesses connect, serve, and grow with steady momentum. At the heart of this shift is agentic AI: intelligent, collaborative systems that work alongside people.  In a recent fireside chat with AI leaders from Salesforce, Accenture, and Google Cloud, one thing was clear: we’re at

“Will this take my job?”“Is AI just another passing trend?”“When working with AI, can I really trust it to help me — and not make mistakes?” As a Salesforce leader, these are the questions I’ve heard from teammates more than once. And to be honest, I’ve asked a few of them myself. But here’s what

For years, search engine optimization (SEO) strategies have focused on keywords, backlinks, and content optimization. However, the search landscape is shifting due to the rise of artificial intelligence, a change evident if you’ve used Google or ChatGPT lately. This isn’t just another algorithm update; it’s a fundamental transformation in how people access information. Before AI,

Today, companies rely on an average of nearly 900 software-as-a-service (SaaS) applications to power operations. Platforms like Salesforce, ServiceNow, and Microsoft Dynamics CRM are vital for managing customer relationships, IT workflows, and enterprise processes. However, as dependence on these platforms increases, so does the risk of data loss, corruption, and compliance issues. When a data

Model Context Protocol (MCP) is an open-source protocol that makes it easier for AI apps and agents to connect with tools and data sources. Before MCP, each tool needed its own custom integration code, causing tool and resource fragmentation. With MCP, you build one MCP server for your tool, and it can plug into any

Our forward-looking statement applies to this blog. Back in March, we posed a simple question: How do you know if your agent is production ready? The post resonated with our Agentblazer community as practitioners sought to bring more predictability to agentic responses and better understand why agents behave the way they do. Now, less than