Salesforce AI Analytics
Your Salesforce data holds the answers. Now you can ask.
Nexatron connects natively to Salesforce, from Opportunities to Cases, and gives Claude governed access through MCP. Ask in plain English and get trusted, SQL-backed answers without a CRM Analytics license.
- Native Salesforce Connector
- MCP Tools for Claude
- Self-Hosted / BYOL
Trusted by enterprises running
The Problem
Salesforce reporting was built for records. Not for questions.
CRM Reporting Hits a Ceiling
Salesforce Reports and Dashboards work for standard views. Cross-object, cross-system and trend analysis requires CRM Analytics (formerly Einstein Analytics) or manual exports.
Pipeline Opacity
Leadership wants real-time pipeline health, win rate trends, and forecast accuracy. Standard reports show snapshots, not stories.
Cross-Object and Cross-System Gaps
Opportunities, Cases and Campaigns sit in different objects, and the finance view sits in the ERP. Questions that span them require manual joins or exports.
How It Works
From Salesforce data to trusted answers in seconds
- 1
Connect
Point Nexatron at your Salesforce org. Native SOQL and Bulk API connection, no middleware, no exports. Read-only. Respects your existing security.
- 2
Ask
Ask any business question in plain English, in Nexatron or from Claude through MCP. Cross-object, cross-system, cross-period.
- 3
Trust
Every answer comes with the SQL generated, sources queried, confidence score and a full audit trail. Governed by your semantic layer.
Claude and Salesforce
How does Claude reach Salesforce data through an MCP server?
Claude reaches Salesforce through an MCP server: a service that exposes Salesforce data to AI applications as tools over the Model Context Protocol, the open-source standard for connecting AI applications to external systems. Claude never logs in to Salesforce itself. The server authenticates to your org as an integration user, runs each query under that user's permissions, and returns the result with the evidence behind it.
Nexatron is that server for governed analytics. Its Salesforce connector is live, and it exposes governed query tools to Claude and other MCP clients, with certified metric definitions and row-level policies applied to every answer. The design and the approval steps are covered in Salesforce MCP Server: Governed Access for Claude, and the wider Claude program lives on the Claude for the enterprise page.
Which Salesforce controls still apply when Claude asks a question?
All of them. The MCP server is one more client of your org, and Salesforce treats it exactly like any other integration.
OAuth scopes on the app
The MCP server authenticates through an External Client App or a connected app, and the OAuth scopes you assign define which protected resources it can reach. The api scope covers REST API and Bulk API 2.0 access on behalf of the integration user. Scopes narrow what the app can touch; they never add permissions the integration user does not already have.
Permission sets on the integration user
Give the server its own integration user and grant object access through permission sets, the method Salesforce recommends. Salesforce also ships integration permission sets that define the scope of data access for integration services. Start with Read on the objects a pilot needs and nothing else.
Field-level security
Field permissions decide whether a user can view or edit each field, and Salesforce enforces them in its APIs as well as in the UI. A field hidden from the integration user never reaches Claude, whatever the prompt asks for.
Sharing rules and org-wide defaults
Org-wide defaults set the baseline for records a user does not own, and sharing rules can only grant additional access, never take it away. Claude sees the records the integration user is allowed to see and no others.
How should a Salesforce MCP server be run?
Read-only first, logged on both sides, and governed by one set of definitions.
Read-only first
Start with query tools only. Actions that write to Salesforce, such as updating an Opportunity stage or creating a Case, come later, one at a time, each with its own approval path and its own permission set.
Log every request
On the server side, record who asked, which query ran, which objects and fields it touched and what came back. On the Salesforce side, Event Monitoring (a Salesforce Shield or Event Monitoring add-on) shows who accessed which data, when and from where.
Govern the definitions
Permissions decide who can see a field. They do not decide what 'pipeline' or 'win rate' means. Nexatron's semantic layer holds one certified definition per metric, so Claude, a dashboard and an export all agree.
What about Salesforce's own MCP server?
Salesforce publishes the Salesforce DX MCP Server for developer workflows in clients such as Claude Code and Cursor. It runs against orgs a developer has already authorized with the Salesforce CLI and includes a SOQL query tool. Salesforce has announced that this local server reaches end of life on 2 November 2026. Salesforce also offers hosted MCP servers, which an administrator activates in Setup under API Catalog and which run each call as the signed-in user. Both apply Salesforce permissions, and permissions do not decide what pipeline or win rate means. That is the gap Nexatron fills. Before enabling any connector, run it through the Claude connector approval checklist.
Sources: Salesforce, Salesforce DX MCP Server README on GitHub and Manage MCP Servers in API Catalog in Salesforce Help, and the Model Context Protocol introduction. Current Nexatron connector status is published at nexatron.io/connectors.
Use Cases
Questions your Salesforce team asks every week
Question
“What's our pipeline health by stage and region?”
What Nexatron Returns
Queries Opportunities across regions with stage-level breakdowns, win rates, and velocity metrics.
Question
“Which accounts have the highest expansion potential?”
What Nexatron Returns
Analyzes account history, usage patterns, and whitespace against similar accounts.
Question
“Show me customer churn risk by segment”
What Nexatron Returns
Combines Service Cloud cases, engagement scores, and contract renewal data.
Question
“What's our marketing-to-revenue attribution?”
What Nexatron Returns
Traces Campaign and Campaign Influence records through to closed-won Opportunities, using the attribution model configured in your org.
Capabilities
Built for Salesforce. Built for the enterprise.
Native Salesforce Connector
Direct SOQL and Bulk API connection. No middleware, no CSV exports, no workarounds.
MCP Tools for Claude
Governed query tools that Claude, ChatGPT and Copilot can call, with your definitions and permissions applied to every request.
Cross-Object and Cross-System Analytics
Query Sales Cloud and Service Cloud objects such as Opportunities, Accounts, Cases and Campaigns in a single request, and combine Salesforce with supported sources such as NetSuite, Oracle Fusion and Snowflake. Salesforce Marketing Cloud is Coming soon as a separate connector.
Governed Semantic Layer
Define 'pipeline', 'ARR' and 'churn rate' once. The definition is enforced across every query and every user.
Field-Level and Row-Level Security
Respects Salesforce org-level, field-level and record-sharing controls, and adds row-level policies of its own.
Audit Trail
Every answer includes the SQL generated, sources queried, confidence score and timestamps.
Enterprise Reality
Most enterprises are experimenting with AI. Few are running it.
Your data is locked in Oracle, NetSuite, and Salesforce.
Your decisions are based on last week's export.
Your AI pilots are producing demos.
Not outcomes. Not ROI. Not scale.
Your platforms are adding AI natively.
Deploying it in a real enterprise is a different problem entirely.
23+
Years Enterprise Depth
500+
Enterprises Served
5
Platform Certifications
6
Industries Served
Resources
Go deeper on Salesforce, Claude and Agentforce
FAQ
Salesforce, Claude and MCP questions
How does Nexatron connect to Salesforce?
Can Claude read our Salesforce data through MCP?
What is a Salesforce MCP server?
Can it query across Sales Cloud and Service Cloud?
How should we scope a Salesforce analytics pilot?
Can it query Salesforce and Oracle at the same time?
How is data security handled?
Nexatron by dotSolved Inc
Evaluate Salesforce pipeline analytics with Nexatron
Use a defined pipeline question, an approved Salesforce reference and the intended user's permissions to evaluate the product workflow. Claude can be the interface through MCP.
Explore Salesforce analytics in NexatronPut Claude on your Salesforce pipeline, with the permissions to prove it
Bring one pipeline question, the report you trust today and the user whose permissions should apply. We will show Claude answering it through Nexatron, with the query and the policies that were applied.