Connect your PIM with AI tools and business apps through Sales Layer MCP Server. Automate, audit, and scale in minutes.
1-minute setup
OAuth 2.0 + Encryption
ISO 27001 Certified
MCP Server is the secure bridge between your product data and the new generation of AI and enterprise tools. It makes product catalogs accessible in a standardized way, so teams can analyze, enrich, and automate information directly from the PIM without creating custom integrations or duplicating work.
The MCP Server acts as a standardized bridge between AI-powered tools and your Sales Layer API. Connect Claude, ChatGPT, or any MCP-compatible application to query, analyze, and interact with your product catalogs through a unified interface.
Build applications with AI elements faster by leveraging pre-built connectors and standardized protocols. Whether you're creating smart product assistants, automated content generators, or intelligent search tools, the MCP Server provides the foundation to integrate AI capabilities with your product data.
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The MCP Server is purpose-built for integration with workflow automation platforms and agentic systems. Connect with tools like n8n, Make, Zapier, or custom agent frameworks to create complex product data processes that run continuously without manual intervention.
With the MCP protocol at the core, you can create intelligent agents that monitor catalog changes, trigger enrichment pipelines, validate data quality, and synchronize information across systems. MCP keeps these workflows running smoothly inside your preferred automation platform and ensures they stay maintainable and portable across all tools and environments.
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Run your AI stack without sending a single file outside your infrastructure. With local deployment and built-in security practices such as API keys, OAuth 2.0, encrypted transport, and Sales Layer’s ISO 27001-certified environment, you maintain full control of your data at all times.
Real-time monitoring and zero-downtime updates give your technical team the stability and regulatory compliance needed to scale with confidence.
Sales Layer provides two versions of the MCP Server, depending on the level of control you need
Designed for safe exploration and analysis of product catalogs. This option lets you run audits, generate quality reports, and benchmark against the market without any risk of altering the source data. It's the fastest way to start using AI to understand your product information.
Recommended to start
Built for full automation of product workflows. In addition to everything available in Read-only, this version allows you to create new product records, update prices or descriptions in bulk, and synchronize catalogs across ERP and ecommerce systems. It's ideal when you want AI to not only detect issues, but also take action. This version is also designed for integration with agent-based systems, enabling continuous workflows where AI agents can trigger, validate, and execute product data tasks automatically.
Security is always at the core.
The MCP Server is deployed with encrypted communication, role-based permissions, and ISO 27001 compliance, ensuring your product data remains protected while becoming more usable across your business.
The easiest way to start is using our hosted remote server. No installation, no configuration, just connect and go.
Whether you choose remote or local deployment, the setup process is straightforward:
Remote URL or local installation path
Secure access to your catalog data
Verify data access and permissions
Use natural language to interact with products
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Whether you need the convenience of our hosted solution or the control of a local installation, we've got you covered.
Connect instantly to our managed infrastructure
Just paste the URL and your token
Always running the latest version
ISO 27001 certified infrastructure
Reliable, monitored 24/7
View Installation Steps
Server URL:
https://mcp.saleslayer.com
Installation Steps (Claude, ChatGPT, etc.):
1.
Open your AI tool settings
2.
Navigate to MCP Servers or Integrations section
3.
Add new server with URL: https://mcp.saleslayer.com
4.
Enter your Sales Layer API token when prompted
5.
Save and start using your product data in AI conversations
Recommended to start
Connect instantly to our managed infrastructure
Deploy behind your firewall
Works in isolated networks
Tailor to your environment
Read-only and Read/Write packages
Download Installation Package
Choose your version:
Both packages include complete installation instructions andconfiguration files.
Claude
Desktop & API
Microsoft Copilot Studio
Enterprise ready
OpenAI
ChatGPT & API
Google Gemini
AI Platform
Cursor IDE
AI-first editor
VS Code
Extension support
Mistral
Open models
Identify missing attributes, inconsistent formats, and outdated data across all catalogs in real time. Teams gain visibility into gaps before they reach sales channels.
Marketing managers can prioritize fixes by product family or region and avoid campaign delays. With the Read-only MCP server, analysis happens safely with no risk of altering source data.
Create detailed reports that score catalog health and verify alignment with buyer or regulatory requirements. Reports show which products block listings and where standards are not met.
Managers can share clear summaries across teams, track progress over time, and reduce costly rejections. This ensures leadership sees reliable product data at every stage.
Compare catalogs automatically with market references and competitor data to uncover pricing gaps, missing features, or weak positioning.
Instead of relying on manual checks, teams see structured insights that guide content updates and assortment planning. Category managers use the findings to sharpen go-to-market strategies and defend margin decisions with evidence.
Spot unusual price shifts or unexpected spec changes the moment they occur. Alerts allow teams to fix problems early, avoiding buyer complaints or sales interruptions.
Confidence in product data improves while support tickets and catalog rollbacks decline. Business leaders get peace of mind knowing issues are caught before they escalate.
Ask natural questions and instantly retrieve accurate details from product documentation. Teams no longer waste hours digging through spreadsheets to confirm specs or compliance notes.
Quick access supports faster decision-making, smoother handoffs, and easier onboarding of new staff. By delivering context with every answer, MCP search speeds approvals and execution.
Generate new versions of products by adjusting attributes such as color, size, or packaging without repetitive manual work. Marketing teams accelerate launches across categories while keeping product data consistent.
By freeing staff from repetitive edits, companies expand assortments faster and focus resources on strategy instead of data entry.
Apply changes to thousands of products at once, from pricing adjustments to SEO-optimized descriptions generated with AI tools like Claude or Gemini.
Content is directly enriched with specs, categories, and market data. This reduces error risk and ensures every channel reflects accurate and persuasive product information.
Keep PIM, ERP, CRM, and ecommerce platforms aligned with two-way data flows. Changes made in one system are reflected everywhere, avoiding mismatches or delays.
Teams can trust that product data is current across all tools. This level of automation strengthens collaboration across departments and reduces the cost of manual reconciliation.
Control catalog changes with approval steps that safeguard quality. AI can suggest updates, but nothing is published without team review.
Managers gain oversight while editors keep full authority over product messaging. This balance of automation and governance reduces risks, improves consistency, and ensures catalogs meet corporate and buyer standards.
Adapt catalogs for global markets with AI-driven translations that preserve technical accuracy and cultural nuance. Teams remove bottlenecks in international launches, making it easier to expand into new regions.
Localized product content reaches buyers faster and with the right messaging. Growth into new markets becomes scalable without adding headcount.
Sales Layer gives teams full control over large-scale updates with features like bulk editing, formula driven rules, Excel style views, and data mapping templates. You can paste directly from spreadsheets, apply conditional logic to update thousands of fields, and reuse configurations to accelerate recurring workflows. This minimizes manual tasks and ensures consistency across complex catalogs
Yes. Sales Layer is built for cross-functional collaboration. Marketing, product, and ecommerce teams can work simultaneously in the same account, with clearly defined roles, permissions, and workflows. You can assign tasks, tag teammates in comments, approve changes, and track every edit. Version control and audit logs prevent conflicts and give visibility into all changes made.
Sales Layer’s built in validation engine highlights missing fields, inconsistent formats, and incomplete data as you work. A real time quality score shows where attention is needed by product, language, channel, or taxonomy. You can define custom rules to catch errors before publishing, ensuring product content meets internal standards and external channel requirements.
Yes. Sales Layer supports unlimited catalogs, hierarchies, product families, and localized versions within one environment. Whether you’re managing global markets, multiple brands, or distinct B2B and D2C catalogs, you can configure flexible structures without duplicating or fragmenting your product data.
Sales Layer uses native connectors and open APIs to sync with ecommerce platforms (like Shopify or Magento), ERPs (like SAP or Dynamics), and marketplaces (like Amazon). When you update product data in the PIM, changes are automatically pushed to every connected channel keeping listings accurate, current, and compliant with each platform’s requirements.
Step-by-step instructions to install and configure the Sales Layer MCP Server locally
1
Download the MCP Server Package
Choose your preferred version (Read-only or Read/Write) and download the package for your operating system.
2
Install the Extension
In Claude Desktop, navigate to Settings → Extensions → Advanced settings → Extension Developer section.
Click "Install Extension..." and select the downloaded .mcpb file. Claude Desktop will handle the installation automatically.
💡 Tip: No need to extract or configure files manually. The .mcpb package includes everything needed.
3
Add Your API Token
During installation, Claude Desktop will prompt you to configure the extension. Enter your Sales Layer API token when requested:
4
Test the Connection
Once installed, the extension will be available in your conversations. Test it by asking: "Can you list my product catalogs?"
1
Install MCP Server Package
Download and extract the Sales Layer MCP Server package to your n8n server environment.
2
Configure n8n Credentials
In n8n, create a new credential for the Sales Layer MCP Server:
Credential Type: HTTP Header Auth
Header Name: Authorization
Header Value: Bearer YOUR_SALESLAYER_TOKEN
3
Add MCP Node to Workflow
Add an HTTP Request node or custom MCP node to your n8n workflow:
Method: POST
URL: http://localhost:3000/mcp
Authentication: Use Sales Layer credential
4
Create Automated Workflows
Build workflows that query, analyze, or update product data automatically using the MCP Server endpoints.
5
Test Your Workflow
Execute a test workflow to verify the MCP Server is responding correctly and returning product data.
General Installation Steps
The Sales Layer MCP Server can be integrated with any platform that supports the Model Context Protocol (MCP) standard.
1
Download and Extract Package
Download the appropriate version for your use case:
2
Configure Environment
Set up your environment variables:
SALESLAYER_API_TOKEN = your_token_here
MCP_SERVER_PORT = 3000
MCP_SERVER_HOST = localhost
3
Start the Server
Run the MCP Server using Node.js:
node index.js
4
Connect Your Platform
Configure your AI platform or automation tool to connect to the MCP Server endpoint:
http://localhost:3000/mcp
5
Verify Connection
Test the connection by sending a simple query to ensure the server is responding correctly.
Need Help?
For platform-specific integration guides or troubleshooting assistance, contact our support team.