DX MCP Server
The DX MCP server exposes a customer's DX data to MCP-compatible AI clients such as Claude, Cursor and Devin Desktop. It is deliberately read-only, offering tools to list and retrieve software catalog entities, scorecards and initiatives, and teams, plus execution of SQL queries against the DX Data Cloud PostgreSQL database. It is available as a DX-hosted remote endpoint at ai.getdx.com/mcp or run locally from DX's open-source dx-mcp-server repository.
Find alternatives to DX MCP Server
No published figures. The pricing FAQ states pricing is based on developer licenses and that 'usage tiers apply for MCP server access' - the only metering detail DX discloses. The local server is distributed open-source via github.com/get-dx/dx-mcp-server but requires a DX instance to be useful.
What it does
- Knowledge retrieval
- Data analysis
Sources
- Pricing
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'usage tiers apply for MCP server access'; no rate card or dollar figures published.
- Description
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Official documentation · 5 Sep 2026
Bridges DX instance data to MCP-compatible AI clients including Claude, Cursor and Devin Desktop. Read-only by design - 'for create/update/delete operations, connect with the DX CLI instead.' Exposes Entities, Scorecards & Initiatives, Teams, and 'Execute a SQL query against the DX Data Cloud PostgreSQL database'.
- Sold within
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Pricing FAQ: 'usage tiers apply for MCP server access' - sold as metered access within the DX platform's developer-license model, not as a standalone SKU.
Also from DX
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DX AI Application
DX AI is a conversational interface for exploring an organization's engineering data held in DX, described by the vendor as 'the copilot for engineering leaders.' It answers natural-language questions with generated charts, summarizes qualitative snapshot data into themes and sentiment, and diagnoses the drivers behind metric changes. Its data can also be streamed into external LLM clients via the DX MCP server.
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Fabric Developer tool
Fabric is DX's context layer for AI agents, marketed as 'the context engine for AI-native engineering.' It turns an organization's software catalog into structured, live context that agents can query, and adds scorecards and self-service automation so agents can create services, provision infrastructure and resolve failing standards checks. Context is exposed to any MCP-compatible agent via the DX MCP server.
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AI Code Insights Developer tool
AI Code Insights measures what AI coding agents produce inside an engineering organization, tracking AI-generated code by commit, PR, team, agent and repo from IDE to production. It attributes authorship by monitoring supported coding agents' edits and links them to commits, pull requests and deployments, reporting adoption, delivery velocity, code-quality signals and session-level agent performance. It includes the Agent Experience report, which scores requirements clarity, steering and task scope from the agent's perspective.
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DX CLI Developer tool
Command-line interface to a DX instance, built so coding agents can drive it: it ships an agent skill telling an agent when and how to call the CLI, and covers the same catalog, scorecard and self-service operations a human uses the dashboard for.
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