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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

  • Anthropic
  • Oracle
  • NetSuite
  • Salesforce
  • Microsoft
  • Databricks
  • UiPath
  • Google
  • IBM
  • Workato

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. 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. 2

    Ask

    Ask any business question in plain English, in Nexatron or from Claude through MCP. Cross-object, cross-system, cross-period.

  3. 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

FAQ

Salesforce, Claude and MCP questions

How does Nexatron connect to Salesforce?
Nexatron connects directly to Salesforce using SOQL and the Bulk API. No middleware, no CSV exports required. The connection is read-only and respects your existing Salesforce org-level and field-level security controls.
Can Claude read our Salesforce data through MCP?
Yes, when an MCP server sits between Claude and Salesforce. Nexatron's Salesforce connector is live, and Nexatron exposes governed query tools to Claude and other MCP clients. Claude asks a question, Nexatron runs the query against Salesforce as the integration user you configured, and the answer comes back with the query, the certified metric definition and the row-level policies that were applied. Claude never holds Salesforce credentials and never sees fields or records the integration user cannot see. On Claude Team and Enterprise plans, an Owner adds the server as a custom connector in Organization settings and each user then connects to it and signs in through OAuth.
What is a Salesforce MCP server?
A Salesforce MCP server is a service that exposes Salesforce data or actions to AI applications as tools, using the Model Context Protocol, an open-source standard for connecting AI applications to external systems. The server authenticates to Salesforce through OAuth on an External Client App or connected app and runs under the permissions of that integration user, so OAuth scopes, permission sets, field-level security and sharing rules still decide what it can see. Salesforce publishes the Salesforce DX MCP Server for developer workflows, and its README on GitHub (salesforcecli/mcp) states that this local server reaches end of life on 2 November 2026. For governed business analytics, Nexatron acts as the MCP server and adds certified metric definitions, row-level policies and a logged, SQL-backed answer to every request.
Can it query across Sales Cloud and Service Cloud?
Yes. Sales Cloud and Service Cloud share the core Salesforce platform, so Opportunities, Accounts, Contacts, Cases and Campaigns are reached through the same connector and can be combined in a single question. Salesforce Marketing Cloud and Salesforce Account Engagement run on separate platforms and are listed as Coming soon in Nexatron's connector catalog, so do not plan a pilot on either today.
How should we scope a Salesforce analytics pilot?
Start with an approved pipeline question, a reference report and the intended user permissions. Validate Salesforce fields, reporting periods and record access before adding supported sources such as NetSuite or Snowflake. Keep existing reporting in place until the pilot meets your agreed acceptance criteria.
Can it query Salesforce and Oracle at the same time?
Yes, for Oracle Fusion. Nexatron's Salesforce and Oracle Fusion connectors are both live, and Nexatron combines them in a single question when the business definitions, source permissions and record relationships line up. A question that joins Salesforce closed-won Opportunities to Oracle Fusion invoices, for example, needs a shared account key and one agreed definition of revenue. Oracle E-Business Suite is Coming soon in Nexatron, so do not plan a pilot on an EBS connector today. dotSolved services implement and support Oracle E-Business Suite if you need help on the EBS side in the meantime.
How is data security handled?
Nexatron enforces security based on your Salesforce org-level and field-level permissions. Self-hosted deployment runs Nexatron in your VPC. Every query generates an audit trail with SQL, sources, and confidence scores. With BYOL (Bring Your Own LLM) you can run inference on a model you host, so prompts and results stay inside your environment.

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 Nexatron 

Put 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.