Clay MCP: find, enrich, and manage contact and company data from AI assistants—search people at companies, resolve named contacts, enrich rows, and track workspace credits.
Clay clay mcp: find, enrich, and manage contact and company data from ai assistants—search people at companies, resolve named contacts, enrich rows, and track workspace credits.. The official Clay MCP server provides AI agents with standardized access to Clay's services, enabling powerful automation and integration capabilities that enhance developer productivity and streamline workflows.
This official MCP server is maintained and verified by Clay, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on clay.com, guaranteeing secure and reliable access to Clay's services.
Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Clay MCP server provides a standardized way to connect AI agents with Clay's extensive platform capabilities. This integration enables natural language interactions with Clay, making it easier than ever to leverage Clay's features through AI assistants like Claude, ChatGPT, and Cursor.
https://api.clay.com/v3/mcpGo to Settings → Cursor Settings
Click "Add new global MCP Server"
Paste the MCP configuration into mcp.json and restart
Or manually add to your mcp.json:
{
"mcpServers": {
"clay": {
"url": "https://api.clay.com/v3/mcp"
}
}
}The official Clay MCP server enables AI agents to:
These capabilities make it easy for AI agents to work with Clay as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.
The Clay MCP server provides 7 tools for AI agents to interact with the platform. Use the search below to find specific tools.
| Tool Name | Description |
|---|---|
add-company-data-points | Add enrichment data points to every company from a prior find-and-enrich-* search. Parameters: searchId (required string); dataPoints (required array). Company types: Headcount Growth; Recent News; Investors; Company Competitors; Company Customers; Tech Stack; Website Traffic; Open Jobs; Revenue Model; Annual Revenue; Latest Funding; Custom (requires customDataPoint). Examples: tech stack → [{ type: "Tech Stack" }]; funding and headcount → [{ type: "Latest Funding" }, { type: "Headcount" }]; custom → [{ type: "Custom", customDataPoint: "recent product announcements" }]. |
add-contact-data-points | Add enrichment data points to every contact from a prior find-and-enrich-* search. Parameters: searchId (required string from the earlier search); dataPoints (required array). Contact data point types: Email; Summarize Work History; Find Thought Leadership; Custom (requires customDataPoint string). Standard shape { type: "Email" }; custom { type: "Custom", customDataPoint: "recent LinkedIn posts" }. Examples: emails → [{ type: "Email" }]; phone and work history → [{ type: "Phone" }, { type: "Summarize Work History" }]; custom research → [{ type: "Custom", customDataPoint: "recent publications" }]. |
find-and-enrich-company | Find and enrich a single company by domain or LinkedIn URL. Parameters: companyIdentifier (required string); companyDataPoints (optional array of data point objects). Examples: overview only → companyIdentifier stripe.com; funding → companyIdentifier openai.com with companyDataPoints [{ type: "Latest Funding" }]; competitors and tech → companyIdentifier canva.com with [{ type: "Company Competitors" }, { type: "Tech Stack" }]. |
find-and-enrich-contacts-at-company | Search for contacts at a company by role, title, or department, with optional enrichment. Parameters: companyIdentifier (required string)—company domain (e.g. stripe.com) or LinkedIn company URL; contactFilters (optional object)—job_title_keywords, job_title_exclude_keywords, headline_keywords, about_keywords, certification_keywords, languages, school_names (string arrays where listed), current_role_min_months_since_start_date and current_role_max_months_since_start_date (numbers), locations and locations_exclude (string arrays); dataPoints (optional object) for contact/company enrichment. Example: VP Finance at HubSpot → companyIdentifier hubspot.com and contactFilters.job_title_keywords ["VP Finance"]; new hires last 3 months at Stripe → companyIdentifier stripe.com and contactFilters.current_role_max_months_since_start_date 3. Results can be shown in the ui://clay/search-results resource widget. |
find-and-enrich-list-of-contacts | Find and enrich specific named people at their companies. Parameters: contacts (required array of { contactName, companyIdentifier }); dataPoints (optional object) for enrichment. Example: one person → [{ contactName: "John Smith", companyIdentifier: "openai.com" }]; multiple → [{ contactName: "Jane Doe", companyIdentifier: "stripe.com" }, { contactName: "Bob Lee", companyIdentifier: "figma.com" }]. |
get-credits-available | Return how many credits remain in the Clay workspace. No parameters. |
get-existing-search | Retrieve an existing search by ID. Parameters: searchId (required string)—the search id returned from a previous find-and-enrich-* call. |
Last updated: April 17, 2026 at 12:00 PM
AI agents can use the Clay MCP server to automate repetitive tasks and manage workflows within Clay's platform.
The MCP server allows AI agents to query and retrieve data from Clay, enabling intelligent data analysis and insights.
Developers can integrate Clay capabilities directly into their AI coding assistants for seamless workflows.
Visit https://www.clay.com, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Clay MCP server.
Yes, this MCP server is officially provided and maintained by Clay. The endpoint https://api.clay.com/v3/mcp is hosted on their official domain clay.com, ensuring reliability and security.
The Clay MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.
Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.
The MCP server itself is free to use, but you may need a Clay account and API access, which may have its own pricing tiers. Check https://www.clay.com for current pricing information.
The Clay MCP server enables AI agents to manage CRM data and sales pipelines. Clay MCP: find, enrich, and manage contact and company data from AI assistants—search people at companies, resolve named contacts, enrich rows, and track workspace credits. This allows you to interact with Clay's platform through natural language commands in your AI assistant.
Ensure your API key is correctly configured and your network allows outbound connections to clay.com. Verify that the MCP endpoint URL https://api.clay.com/v3/mcp is accessible from your network.
Verify your API key is valid and has not expired. Generate a new key from https://www.clay.com if needed. Make sure you're using the correct authentication method as specified in the documentation.
Check Clay's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.
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The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Clay provides standardized access to their services, allowing AI agents to interact with Clay's platform seamlessly.
To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.
Learn more about MCP in our complete guide or browse our FAQ for common questions.