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Clientell MCP

Give your AI assistant a live map of your Salesforce org: objects, fields, flows, Apex and permissions. Ask questions and trace what breaks before you change anything.

Clientell MCP

Clientell MCP Reviews and Details

This page is designed to help you find out whether Clientell MCP is good and if it is the right choice for you.

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  • Landing page //
    2026-10-13

Features & Specs

  1. Org Context Graph

    Maps objects, fields, flows, Apex, validation rules, profiles, permission sets and reports, and how they depend on each other

  2. Impact analysis

    Shows where a field is used and what a change would break before you make it

  3. Approval-gated changes

    Create, update and delete records; every change is proposed first and only runs after you confirm

  4. Live record queries

    Look up accounts, contacts, opportunities, cases and more from your real org

  5. Flow builder

    Draft flows from plain English, validate them against your org, and deploy with confirmation

  6. Bulk CSV jobs

    Import, update or delete records from a CSV, with row limits and a review step

  7. Reports and dashboards

    Build and update Salesforce reports and dashboards

  8. Works with your AI tools

    Claude, ChatGPT, Cursor, VS Code (Copilot), Claude Code and Codex CLI

  9. Secure sign-in

    OAuth 2.1; runs as your own Salesforce user through Salesforce's official APIs

  10. Production and sandboxes

    Works with production orgs and unlimited sandboxes

  11. Free trial

    14-day free trial, no card needed

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Questions & Answers

As answered by people managing Clientell MCP.
  1. Who are some of the biggest customers of Clientell MCP?

    • Pixis
      • Appsmith
      • PKG Group
      • Lytx
      • Talkspace
      • Govini
      • CoreView
  2. Which are the primary technologies used for building Clientell MCP?

    Model Context Protocol (Streamable HTTP), OAuth 2.1 with Dynamic Client Registration, Salesforce official APIs, Python, TypeScript

  3. How would you describe the primary audience of Clientell MCP?

    Salesforce admins, developers, architects, DevOps and RevOps teams who manage or change a Salesforce org and want answers from their real org rather than guesses.

  4. Why should a person choose Clientell MCP over its competitors?

    It works inside the AI tools your team already uses (Claude, ChatGPT, Cursor, VS Code) instead of another dashboard. It covers both questions and actions: - dependency and impact checks - record updates and bulk CSV jobs - flows, reports and dashboards

    Every change is proposed first and runs only after you approve it, as your own Salesforce user through Salesforce's official APIs.

  5. What makes Clientell MCP unique?

    Most AI tools guess about your Salesforce org. Clientell gives your AI assistant a live map of it (objects, fields, flows, Apex, permissions and how they depend on each other), so it can tell you what a change will break before you make it. And it never writes anything until you say yes.

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Is Clientell MCP good? This is an informative page that will help you find out. Moreover, you can review and discuss Clientell MCP here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.