Salesforce just announced the next important step in open, trusted AI: native Model Context Protocol (MCP) support for its digital labor platform Agentforce, which will go live in July, as well as support for MCP servers on AgentExchange, the trusted Agentforce marketplace.
Until now, tech partners have had to deal with a tangle of one-time agent API interfaces and closed AI stacks. Salesforce is pioneering native agent interoperability, based on open standards and protected by business trust controls.
Most AI users expect that an open environment will be the norm by next year, with industry leaders highlighting the benefits of higher innovation and faster AI adoption. However, limited ecosystems, manual point-to-point agent connections, and security tradeoffs have stifled AI innovation and partners developing enterprise AI agents, limiting their potential to capitalize on an impending $6 trillion digital labor market opportunity.
Partners do not have to prioritize innovation over security, or vice versa. Salesforce will provide enterprise-level AI agent interoperability with partners via MCP server listings on AgentExchange, as well as Agent2Agent (A2A) functionality in the future. As a result, enterprises may create, deploy, and monetize agent-ready partner solutions while ensuring enterprise-level security. This allows enterprises to deploy autonomous AI agents 16 times faster than typical DIY approaches.
With the addition of MCP and A2A support to AgentExchange, tech partners will be able to link interoperable AI agents and agent components that plug directly into business systems, eliminating the need for proprietary integrations or vendor lock-in. This increases flexibility without compromising governance, especially in regulated situations.
Over 30 industry-leading partners, including AWS, Box, Cisco, Google Cloud, IBM, Notion, PayPal, Stripe, Teradata, WRITER, and others, have already agreed to list MCP servers. They join hundreds of partners that are developing agent-first tools using Salesforce’s open ecosystem methodology.
AWS: Agentforce will enable agents to gain vital insights from massive repositories of unstructured data hosted on AWS by empowering a set og MCP servers, including the Amazon Bedrock Data Automation MCP Server and the Amazon Nova Canvas MCP Server.
This will enable Agentforce agents to intelligently process and summarize documents, extract key information from images, transcribe and analyze audio recordings, identify critical moments in video files, query enterprise knowledge bases, perform semantic code repository searches, and interact with databases using natural language interfaces via Aurora PostgreSQL/MySQL MCP Servers, all of which
Box: Agentforce will assist in retrieving the most recently signed NDA from a BOX MCP service, along with a description of relevant terms. Agentforce will then send a Slack update to the relevant teams containing the AI summary, the contract in PDF format, and recommended next steps.
Google Cloud: Customers can enable new Agentforce use cases by connecting to major Google and Google Cloud services through MCP.
PayPal: Customers can now enable a full range of agentic commerce features by connecting Agentforce to PayPal’s MCP server. They may use PayPal to sell products, make orders, process payments, dispute claims, track shipment, manage subscriptions, issue refunds, and perform other tasks, making connections simple and straightforward.
Stripe: Agentforce will let AI agents directly perform a variety of Stripe operations via its MCP server, such as real-time product lookups, speedy payment link generation, subscription setup, and speedier dispute resolution.
As customers seek to swiftly integrate and scale digital labor, Salesforce partners assist them in driving agentic transformation and adopting the next generation of Agentforce products with trust and confidence.
Salesforce has merged the AppExchange and Global Partnerships team under CEO Brian Landsman to bring product and go-to-market innovations closer together and double down on its ecosystem strategy.
This strategic commitment will increase the innovation and agility with which Salesforce partners work at a time when the software, AI, and technology industries are rapidly changing. Salesforce’s company-wide AI plan relies heavily on partners, and the AppExchange and AgentExchange must continue to evolve in order to succeed.
Consulting partners are also essential for supporting customers through the agent journey, from early proof of concept to full enterprise-wide implementation.
Salesforce is focusing on empowering its system integrator (SI) and consulting partners to help customers realize the full value of their agent implementations by introducing innovations such as Agentforce for partners Community and new training, which has resulted in 272,000 AI-certified professionals.
So this is it, guys! This is the end of this article. We hope you get the complete information about this new Salesforce Model Context Protocol. For more information and Salesforce updates, follow us at CloudMetic.
Note: sales@cloudmetic.com. We are a top-rated Salesforce-certified consultant and Salesforce service provider with a 5-star rating on Appexchange.
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