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How to Use Skode CRM with Claude (MCP Setup Guide)

Learn how to connect Skode CRM to Anthropic Claude using the Model Context Protocol (MCP). This guide covers MCP basics, setup steps, and example workflows for querying your CRM data.

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Skode Team

April 9, 2026

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The Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude securely access external data sources, and Skode CRM supports it natively. This guide explains what MCP is, how to set up the Skode CRM connector for Claude, and how to use it for real sales workflows.

What Is MCP?

MCP (Model Context Protocol) is a protocol developed by Anthropic that standardizes how AI models connect to external tools and data. Think of it as a universal adapter: instead of building a custom integration for every AI model, your tool implements MCP once and any MCP-compatible AI assistant can use it.

For CRM users, this means Claude can read your leads, deals, contacts, invoices, and e-commerce data in a structured, schema-aware way. Unlike a generic API call, MCP gives Claude full context about your data schema — it knows what fields exist, what types they are, and how records relate to each other. This results in more accurate queries and fewer misunderstandings.

Prerequisites

  • An active Skode CRM account on any paid plan.
  • A Claude Pro, Team, or Enterprise subscription.
  • Admin or Manager role in Skode CRM.

Step 1: Enable MCP in Skode CRM

Log in to your Skode CRM dashboard. Go to Settings > Integrations > AI Connectors. Click New Connection and select Claude (MCP). Click Generate MCP Configuration. This generates a JSON configuration file that contains your secure connection endpoint and authentication token.

Step 2: Download the MCP Config File

Click Download MCP Config to save the skode-crm-mcp.json file to your computer. This file contains your CRM endpoint URL and a scoped authentication token. Keep it secure — anyone with this file can query your CRM data within the permissions of the generating user.

Step 3: Add the Connector in Claude

Open Claude (desktop app or claude.ai). Go to Settings > Connections (or Settings > MCP Servers in Claude Desktop). Click Add MCP Server and upload the skode-crm-mcp.json file. Claude will validate the connection and display a confirmation with the available data modules.

Step 4: Verify and Configure Scope

Start a new Claude conversation and ask: "What Skode CRM modules do you have access to?" Claude should list the enabled modules (leads, deals, contacts, invoices, e-commerce). To adjust which modules are available, return to Skode CRM > Settings > AI Connectors > Claude and toggle modules on or off.

Example Workflows

Pipeline Analysis

Ask Claude: "Analyze my sales pipeline. What is the total value at each stage, and which deals have been stuck for more than 14 days?" Claude will pull your full pipeline data, calculate stage totals, identify stalled deals, and present the analysis in a structured format. Because MCP provides schema context, Claude understands deal stages, values, and timestamps without you having to explain your data model.

Lead Scoring Review

Ask Claude: "Review my leads from the past 30 days. Which ones have the highest engagement scores but haven't been assigned to a rep?" Claude queries your lead data, filters by date and engagement score, checks assignment status, and returns unassigned high-potential leads.

Invoice Reconciliation

Ask Claude: "Compare my invoices from Q1 2026 with the deals they are linked to. Are there any deals marked as closed-won that don't have a corresponding invoice?" Claude cross-references your deal and invoice records to identify gaps in your billing process.

Custom Report Generation

Ask Claude: "Generate a weekly sales report for the last 4 weeks showing: new leads, deals created, deals won, revenue closed, and average deal size. Format as a table." Claude pulls the data, calculates the metrics, and presents a formatted table you can paste into Slack or an email.

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Tips for Better Results

  • Be specific with date ranges: "Last 30 days" works better than "recently."
  • Name your fields: If you have custom fields, refer to them by name so Claude can match them in the schema.
  • Ask for formats: Request tables, bullet points, or summaries to control how Claude structures the output.
  • Chain queries: Start broad ("Show my pipeline") then drill down ("Now filter to deals over $10k in negotiation stage").

For a comparison of Claude vs ChatGPT vs Gemini for CRM queries, see ChatGPT vs Claude vs Gemini for CRM.

#AI Connectors#Claude#MCP#Guide

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