SegMetrics MCP Server
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Endpoint
Hosted endpoint · transport http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
get-account-info— Returns account context: account name, timezone, currency, attribution model, feature flags, subscription plan, connected integrations, and a data summary. Typically called first to understand the account before making queries.run-query— Executes a report query against SegMetrics data. The primary tool for pulling metrics and analyzing performance. Supports 16 report types (including acquisition, ads, revenue, funnel, leads, subscriptions), with filtering, grouping by dimensions, date ranges, time comparisons, and multiple attribution models.get-contacts— Retrieves individual contact or order records matching filter criteria — drill down from aggregate numbers to specific people. Supports contact, order, and individual purchase views.get-metrics— Searches the 370+ available metrics in SegMetrics.get-dimensions— Searches available dimensions (group-by fields) for reports, including account-specific custom dimensions pulled from integration custom fields.get-filters— Searches available filters and pruners. Filters narrow which contacts are included in a report (before aggregation); pruners narrow which rows appear (after aggregation).get-products— Returns products with revenue and volume stats. Supports keyword search and date range filtering.get-tags— Returns tags with contact counts. Supports keyword search and date range filtering.get-lists— Returns lists with contact counts. Supports keyword search and date range filtering.get-segments— Returns saved audience segments with their filter definitions.get-traffic-sources— Returns active traffic sources: channels, UTM sources, mediums, and campaigns with recent data.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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