MCP Data Platform by Txn2 is an MCP server designed to unify data access across various sources. It integrates other MCP servers like mcp-trino and mcp-datahub, creating a composable data platform ecosystem. This platform offers a single interface for AI assistants to interact with diverse data. Built primarily in Go, it extends the Model Context Protocol for enhanced data operations. The platform aims to connect enterprise data with AI, supporting advanced governance and exploration capabilities.

What does MCP Data Platform connect to?

MCP Data Platform connects to and integrates other Model Context Protocol servers, specifically mcp-trino and mcp-datahub. It functions as a composable data platform ecosystem, providing a unified interface to various data sources. This integration allows AI assistants to access diverse data through a single point. The platform is categorized as an MCP server, centralizing access to distributed data environments. Its core purpose is to bring together disparate data systems under one protocol.

Core features and tools

MCP Data Platform itself does not expose specific callable tools directly. Instead, it acts as a platform that integrates and exposes tools provided by configured toolkits. These tools originate from integrated servers such as mcp-datahub and mcp-trino instances. The platform supports HTTP as a transport protocol, utilizing JSON-RPC 2.0 for communication. It can also support stdio, SSE, or streamable HTTP. The broader MCP ecosystem works with various AI applications.

Who is it for?

MCP Data Platform is for enterprise users and AI agents needing unified data access and governance. It suits organizations requiring strict audit logging for regulatory compliance, such as SOC 2, HIPAA, and GDPR. Business users exploring data through AI will find configurations for interactive use and semantic enrichment valuable. Autonomous AI agents can use it to discover and understand unfamiliar datasets. Skip this if your organization does not require OIDC for role-based access.

How to get started

Access is granted through a standard OAuth authorization flow using OpenID Connect, with setup involving configuration of OIDC parameters such as issuer and client_id. The platform supports HTTP as a transport protocol.

Use cases

• Enterprise Data Governance: Provides audit logging for regulatory compliance, including logging every tool call with caller identity and parameters, supporting long data retention.
• Data Democratization: Enables business users to explore data through AI, with configurations optimized for interactive use and semantic enrichment.
• AI Agent Exploring Unfamiliar Datasets: Helps autonomous AI agents discover and understand data, with configurations for higher result limits and full lineage depth.

MCP Data Platform offers a unified data access layer for AI agents and enterprise users. It integrates existing MCP servers to present a single interface, supporting critical workflows like data governance and AI-driven exploration. Its OIDC authentication model ensures secure, role-based access for various applications. The platform is a key component for managing data interactions within an AI-powered ecosystem. Try exploring data with an AI agent using its semantic enrichment capabilities.