Salesforce Application Development With Agentforce and MCP

Salesforce application development is changing as businesses look for better ways to connect customer data, business processes, and modern applications. Salesforce has traditionally provided tools such as Apex, Lightning Web Components (LWC), APIs, and Flow for building custom applications. Today, developers also have new options for building applications that can work with AI agents and external tools.

Two technologies are especially important in this shift: Agentforce and Model Context Protocol (MCP).

Agentforce allows businesses to create and deploy agents that can work with Salesforce data and business processes. MCP provides a standard way for AI applications and agents to connect with external tools and services. Salesforce now provides MCP solutions that can connect AI applications to Salesforce, Heroku, and MuleSoft capabilities.

Together, Agentforce and MCP can expand what businesses can build with Salesforce.

What Is Salesforce Application Development?

Salesforce application development refers to creating custom applications and solutions on or around the Salesforce platform to meet specific business requirements.

Instead of relying only on standard Salesforce features, businesses can develop custom functionality for areas such as:

• Sales and lead management
• Customer service
• Marketing
• E-commerce
• Data management
• Business reporting
• Workflow automation
• Customer portals
• Third-party integrations

Developers can use technologies such as Apex, Lightning Web Components, APIs, Flow, and Salesforce development tools to create these solutions.

The goal is not simply to add more features. A good Salesforce application should solve a specific business problem while fitting into the company's existing systems and processes.

What Is Agentforce?

Agentforce is Salesforce's platform for building and deploying AI agents. These agents can work with employees and customers and use Salesforce data, actions, and business logic to complete tasks. Salesforce provides APIs, SDKs, Agent Script, Agentforce DX, and other development tools for creating and managing agents.

For example, a company could create an agent that helps sales teams qualify leads.

Instead of simply displaying a lead record, the agent could:

1. Review available customer information.
2. Identify important lead details.
3. Ask follow-up questions.
4. Update the Salesforce record.
5. Recommend the next action.
6. Escalate the lead to a sales representative when required.

This creates a more useful experience than simply adding another screen to a Salesforce application.

What Is MCP?

MCP stands for Model Context Protocol. It is an open standard that allows AI applications to connect with external systems, tools, and data sources.

Before MCP, developers often had to create separate integrations for different AI applications and services. MCP provides a standard connection model that can reduce some of this integration work. Salesforce describes MCP as a way for AI applications to securely interact with external systems and services through pre-built connections.

In simple terms, MCP can act as a bridge between an AI agent and the tools it needs to perform a task.

For example, an Agentforce agent could need information from an external service. With an appropriate MCP connection, the agent can access that service instead of requiring a completely separate custom integration for every interaction.

How Agentforce and MCP Work Together

Agentforce and MCP solve different parts of the application development process.

Agentforce provides the agent.

MCP provides a standard way to connect the agent with external tools and services.

Consider an insurance company using Salesforce.

A customer may ask:

“Can you check my claim status and tell me what happens next?”

The Agentforce agent can understand the request and work with Salesforce information. If the required claim information or calculation is stored in an external system, MCP can provide a standardized connection to the relevant service.

The agent can then use the available tool, retrieve the required information, and provide an appropriate response.

Salesforce now supports MCP capabilities that allow Agentforce to use third-party MCP tools. Administrators can register MCP servers, control which tools are available, and add approved tools as agent actions.

How MCP Can Improve Salesforce Application Development

MCP can be useful when a Salesforce application needs to work with systems outside Salesforce.

For example, a business may use:

• Salesforce for CRM
• An external ERP for finance
• A separate payment platform
• A customer support system
• A logistics platform
• A data warehouse
• Internal business applications

Traditionally, developers may need several custom integrations to connect these systems.

With MCP-supported architecture, compatible AI applications can use standardized connections to available tools and services.

Salesforce's current developer platform also provides hosted MCP servers for Salesforce data and capabilities. These can allow MCP-compatible clients to connect with Salesforce using standard authentication and the organization's existing security model.

Benefits of Using Agentforce in Salesforce Applications

1. Better Customer Service

An Agentforce agent can help customers find information, answer common questions, and complete supported tasks.

This can reduce the amount of routine work handled manually by support teams.

2. Faster Business Processes

Agents can perform tasks based on defined instructions and available actions.

For example, an agent could help update records, retrieve information, or start a business process without requiring an employee to perform every step manually.

3. More Useful Salesforce Applications

Traditional applications often depend on users navigating multiple screens and manually entering information.

An agent can provide another way to interact with those applications through natural language.

4. Better Use of Existing Data

Salesforce applications often contain valuable customer and business information.

Agentforce can use approved Salesforce data and actions to help users work with that information more efficiently.

5. Easier Connections With External Tools

MCP can help connect agents with external tools through a standardized protocol.

This can be particularly useful for organizations that have complex technology environments.

Important Considerations for Salesforce Application Development

Agentforce and MCP can provide new development options, but businesses should not adopt them without planning.

Security

AI agents may have access to sensitive customer and business information. Developers need to define exactly what an agent can access and which actions it can perform.

Salesforce's MCP approach includes security and governance capabilities, including policies and access controls for MCP tools.

Data Quality

Agents are only as useful as the information available to them.

Businesses should maintain accurate customer records, clear data structures, and reliable external data sources.

Clear Agent Instructions

An agent needs clear instructions about what it should do, what it should not do, and when it should transfer a task to a human.

Testing

AI-powered applications need more than standard functional testing.

Businesses should test different customer questions, unexpected inputs, permissions, tool failures, and escalation scenarios before deploying an agent to production.

Integration Planning

MCP does not remove the need for good integration architecture. Developers still need to understand APIs, authentication, permissions, data relationships, and business processes.

What Does This Mean for Salesforce Developers?

The role of Salesforce developers is also expanding.

Developers still need strong knowledge of Apex, LWC, APIs, data models, security, and Salesforce architecture. However, they also need to understand how agents interact with these components.

Salesforce's current development tools include Agentforce DX, Agent Script, MCP solutions, APIs, SDKs, and AI-assisted development tools.

This means modern Salesforce application development is becoming a combination of traditional development and agent-based functionality.

Developers may build the application interface, create business logic, expose approved actions, connect external services, and then provide agents with the tools needed to complete specific tasks.

When Should Businesses Use Agentforce and MCP?

Agentforce and MCP are worth considering when a business needs more than a basic Salesforce customization.

They can be useful for:

• AI-powered customer support
• Sales assistance
• Lead qualification
• Service automation
• Employee assistance
• Cross-system data access
• Workflow automation
• Custom AI applications
• External system integration

However, not every Salesforce application needs an AI agent or MCP connection.

For simple workflows, standard Salesforce automation may be enough. The right approach depends on the business process, data requirements, security needs, and expected return on investment.

The Future of Salesforce Application Development

Salesforce application development is moving toward applications that can do more than store and display information.

With Agentforce, applications can include agents that interact with users and perform defined tasks. With MCP, those agents can connect with external tools and services through a common protocol.

Salesforce's Headless 360 direction also reflects this change. Salesforce describes major platform capabilities as being available through APIs, MCP tools, or CLI commands, giving applications, developers, and AI agents more ways to interact with the platform.

For businesses, this means future Salesforce applications can be designed around both users and intelligent agents.

Final Thoughts

Agentforce and MCP are giving developers new ways to approach Salesforce application development.

Agentforce provides the foundation for building agents that can work with Salesforce data, actions, and business processes. MCP provides a standardized way to connect AI applications and agents with external tools and services.

Used correctly, these technologies can help businesses build applications that are more connected, easier to interact with, and better suited to complex workflows.

However, successful implementation still depends on good architecture, secure data access, clear business rules, testing, and experienced development.

For businesses planning to modernize their Salesforce environment, choosing the right development approach is just as important as choosing the technology itself.

Salesforce Application Development With M40Tech

M40Tech helps businesses build and customize Salesforce solutions around their specific business requirements. From Salesforce application development and CRM customization to integrations, automation, and ongoing development support, M40Tech focuses on creating practical solutions that fit existing business processes.

As Salesforce continues to expand its capabilities around Agentforce, MCP, APIs, and connected applications, businesses can use these technologies to build more capable and connected Salesforce environments.