KineticMCP exposes Salesforce as a standardized Model Context Protocol (MCP) server. Any AI client can now "speak Salesforce" fluently.
You give a natural language goal to your agent (Claude, OpenAI, or local LLM). It understands the context and decides it needs to fetch data.
Our server receives the intent and converts it into safe, optimized SOQL queries and API calls. It checks permissions, schema compliance, and limits before execution.
The action is executed via the official Salesforce API. Records are updated, tasks are created, and everything is logged. Invisible to the user, fully audited.
Output:
Found 12 Accounts.
Created 12 Tasks for Account Owners: "Re-engage Customer"
We index your metadata. Agents know that "Annual Value" maps to `Amount` and "Closed" means `StageName = 'Closed Won'`, without you teaching them.
Need to update 5,000 records? KineticMCP automatically switches from REST to Bulk API to handle load efficiently and avoid limit hits.
Deploys as a single, self-contained container. No complex microservices. Works on any cloud (AWS, Azure, GCP) or strictly on-prem.
Theory is good. Reality is better. Explore real-world scenarios where KineticMCP transforms business logic into automated reality.