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Salesforce MCP Server Generator for AI Agents

Give Claude, ChatGPT, Cursor and your own agents governed access to Salesforce data through named tools instead of a shared admin login. APIGenerator generates an MCP server for the objects you choose, with row rules, keys and a log of every call.

Source
Output
Ready in about 30 s
Or start from
  • Your files are parsed in your browser and never uploaded.
  • Code export on every plan. You own what you generate.

Your generated API

https://clinic.apigenerator.ai

  • Parsing source
  • Inferring resources
  • Designing endpoints
  • Writing docs
  • Building MCP tools

                            

Request


                                

Response


                            

Create your account to see every resource, run the tests, export the code and deploy this API.

Why one integration user is the wrong way to connect agents to Salesforce

Salesforce holds the pipeline, the customer list and every open case. The quickest way to try an agent is to hand it an integration user with broad object access. That works in a demo. In production, a single prompt injected through a case comment can pull opportunities from every region, and nobody can say afterwards which agent read which record. Named tools with fixed shapes, one key per agent and a call log remove both problems.

What the generated Salesforce MCP server does

  • Turns the objects you pick, such as Account, Contact, Opportunity, Lead, Case and custom objects, into tools with filters, sorting and a hard cap on page size.
  • Exposes only the fields you approve. Fields like margin, internal notes or personal data stay out of the tool.
  • Separates read tools from write tools. Write tools exist only for the objects you switch on.
  • Applies row rules per key, so a sales agent for one region or owner sees only that slice.
  • Keeps the Salesforce credentials on the server. The model supplies values, never query text.
  • Writes a log line for every call with the key, the tool, the arguments and the row count.

From object list to a working agent in four steps

  1. Describe the objects and fields the agent needs, or upload a field export or an OpenAPI file.

  2. Review the proposed tools and change names, descriptions and permissions.

  3. Choose output. MCP server is preselected, and the same definition also gives you a REST API and GraphQL.

  4. Deploy to managed hosting or export the code, then add the server URL and a key to your agent.

Teams that put agents in front of real CRM data

  • RevOps and sales operations teams that want an agent to prepare account briefs, log notes and update opportunities without giving it admin rights.
  • Support leaders who want an agent to read cases and customer history but never touch billing fields.
  • Consultancies and Salesforce partners that build agents for several clients and need one key and one set of row rules per client.
  • Security and compliance owners who must show exactly what an AI agent read last quarter.

Shared integration user or a generated server

A shared login is fine for exploring a sandbox. The table describes what changes when the agent reaches production records and customers ask who can see their data.

Topic Agent on a shared Salesforce login Generated with APIGenerator
Access model One user, whatever its profile allows Named tools, one key per agent
Query written by The model Fixed tools with typed arguments
Record level limits Sharing rules of that one user Per key rules such as region or owner
Field exposure Everything the profile sees Only approved fields
Write protection Depends on the profile Write tools off until enabled
Audit trail Event monitoring or your own logging Built in per call

Other databases and outputs

Agents on a database instead of a CRM? See the postgres mcp server, mysql mcp server and sql server mcp server pages. To put many agents behind one governed endpoint use the mcp gateway. If you already have an OpenAPI file for an API, see openapi to mcp server, and for pricing see plans.

Questions about salesforce mcp server

No. The generated server holds the Salesforce connection on your side and agents call named tools with their own key. The model never sees a token and never writes SOQL.

Yes. A row rule attaches a filter such as OwnerId or Region to the key, and every tool call by that agent is restricted to those records, for reads and writes alike.

Standard objects such as Account, Contact, Opportunity, Lead and Case, and your custom objects. You choose which objects and which fields become tools, and everything else stays unreachable.

Only if you switch the write tool on for that object. Read tools and write tools are separate, and a key can hold read access only.

Connect agents to Salesforce with rules you control

Describe your objects and see the generated tools before you pay for anything.