🔌MCP Setup Guide

The Euno AI Assistant can be integrated with your preferred AI coding assistant (Claude Desktop, Cursor, VSCode Copilot, etc.) using the Model Context Protocol (MCP). This allows you to query your data model directly from within your development environment.

Prerequisites

Before setting up the MCP integration, you'll need:

1. API Key: Contact your Euno administrator to obtain an API key for MCP access

2. Account ID: Your Euno account identifier (available in your Euno account settings)

Configuration by Platform

Claude Desktop (Pro, Max, Teams and Enterprise)

1. Open Claude Desktop Settings

2. Navigate to Connectors

3. Click "Add custom connector" in the bottom of the screen

4. Give this tool a name (i.e "euno"). In the URL, enter: `https://api.app.euno.ai/mcp?account_id=<ACCOUNT_ID>&api_key=<API_KEY>. Replace <ACCOUNT_ID> and <API_KEY> with your specific details.

5. Restart Claude. You will need to go through the authentication flow the first time you use the tool.

Cursor

1. Access MCP Settings

   • Open Cursor settings

   • Navigate to Tools & Integrations section

   • Click "New MCP server"

2. Configure MCP Server In the mcp.json file that opens, add:

   {
     "mcpServers": {
       "euno-assistant": {
          "type": "http",
          "url": "https://api.app.euno.ai/mcp",
          "headers": {
              "x-api-key": "<API_KEY>",
              "x-account-id": <ACCOUNT_ID>
          }
        }
     }
   }

   Make sure to replace <ACCOUNT_ID> and <API_KEY> with your specific details.

3. Restart Cursor

Available Tools

Tool	Description
euno_instructions	Get detailed instructions on how to use the Euno MCP server, including resource types, relationships, and properties
fetch_single_resource	Retrieve properties of a single resource by its URI
find_resource_by_name	Locate resources by name using similarity/semantic search
find_resources_for_topic	Search resources by topic/keywords across names and descriptions, ranked by relevance
get_upstream_lineage	Retrieve upstream lineage (dependencies) for a resource, grouped by relationship type
resource_impact_analysis	Get downstream impact summary with counts and sample affected resources
documentation_search	Keyword search over Euno documentation
documentation_get_full_document	Fetch full documentation page by URL
documentation_get_surrounding_context	Fetch adjacent doc chunks around a specific chunk ID
generate_eql_query	Convert natural language to EQL query
execute_eql_query	Run an EQL query to search/filter resources with pagination and sorting
execute_eql_count	Count resources matching an EQL query, optionally grouped by property

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