TimeXtender MCP Server
Securely connect your data to powerful AI tools and agents
TimeXtender MCP Server connects AI tools and agents to the same governed semantic models and definitions your analysts trust. Consistent metrics, controlled access, and auditable context for reliable AI outputs.
Trusted by world-class brands
Fast AI outputs aren’t useful if they can’t be trusted
AI tools can generate answers fast, but without governed definitions, they will guess. That guesswork is where inconsistency starts, and where teams lose confidence in the numbers. Governed context makes speed useful.
Ask the same question across three systems.
Get three different answers:
| Sales CRM | Data Warehouse | Finance Ledger |
| $4.5M | $4.2M | $3.8M |
| Q1 Revenue | Q1 Revenue | Q1 Revenue |
Get fast AI outputs you can actually trust
The TimeXtender MCP Server closes this context gap. It routes AI queries through the same governed semantic layer your analysts already trust to eliminate hallucinations and generate reliable AI outputs you can actually trust.
Connect
Link any MCP-compatible AI client (like Xpilot) or agent to your TimeXtender semantic models.
Query
AI translates natural language into SQL using governed business terms, relationships, and metrics.
Trust
Answers align with approved definitions across every team, every tool, every time.
How it Works
The TimeXtender MCP Server sits between your raw data and your AI tools. It translates plain English questions into governed queries grounded in approved business definitions, so AI outputs are consistent, traceable, and defensible.
The TimeXtender MCP Server runs entirely inside your own infrastructure, so your data stays where it belongs. The business gets answers, and IT keeps control.
What the TimeXtender MCP Server Delivers
Consistent answers across every team
Sales, Finance, and Analytics get the same number for the same question because AI queries the same semantic model, not raw schemas.
AI agents that produce reliable outputs
Agents query governed definitions and approved business logic, so outputs are grounded in what your organization already trusts.
Self-service that actually scales
Business teams ask questions in plain English and get answers backed by the same governed data your dashboards run on.
Governance that doesn't compromise
Read-only enforcement, audit logging, and domain-scoped access keep AI queries inside your existing governance boundaries.
Full lineage on demand
Every query is traceable to the governed definition it used. When someone asks where a number came from, you can show it.
Secure by design
Your data stays in your environment. MCP exposes governed query endpoints, not direct database access, so AI tools never touch underlying data.
Capabilities
Governed Semantic Intelligence
Connect AI tools and agents to the Deliver layer where definitions, relationships, metrics, and hierarchies live. Queries use the semantic model, not the full warehouse schema.
Natural Language to Governed SQL
Turn plain-language questions into SQL grounded in validated business terms, entities, and metrics. Answers stay consistent with the definitions used in reporting.
Read-Only Query Validation and Audit Logging
Validate and execute every query in read-only mode, with a local audit log for traceability. See what was queried, when, and by which endpoint.
Dual-Mode Connectivity
Use Studio mode for local tools and development. Use HTTP streaming for enterprise deployments with API key or OAuth, scoped by Deliver instance or domain.
Built for the teams responsible for trusted AI
Data and Analytics Leaders
You need AI outputs your organization can stand behind. The TimeXtender MCP Server ensures AI answers align with the approved definitions your dashboards and reports already use, so decisions move forward without reconciliation cycles.
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Data Platform and Engineering Teams
You’re responsible for making AI access predictable and governable. The MCP Server gives you a controlled path for AI tools and agents through governed semantic models, with scoped access, read-only enforcement, and audit logging.
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Consultancies
You need a repeatable way to deliver AI experiences aligned with each customer’s governed semantic layer. The TimeXtender MCP Server lets you build consistent solutions without recreating metric definitions for every AI tool or project.
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Frequently Asked Questions
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What is the TimeXtender MCP Server?
The TimeXtender MCP Server is a Model Context Protocol implementation that connects AI clients and agents directly to your governed semantic models. Instead of pointing AI at raw database schemas, it routes queries through the approved business definitions, relationships, and metrics your analysts already rely on for dashboards, reporting, and planning.
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What AI tools can connect to the MCP Server?
Any MCP-compatible AI assistant, including Claude, ChatGPT via OAuth custom connector, Microsoft Copilot, and custom AI agents built on MCP-compatible frameworks.
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Does using the MCP Server mean our data leaves our environment?
No. The MCP Server sits in your environment and exposes governed query endpoints. When an AI tool queries via MCP, the query executes against your data in your environment and returns results. Your raw data never leaves your network.
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How does the MCP Server relate to TimeXtender Data Integration?
The MCP Server is delivered as a Deliver endpoint within TimeXtender Data Integration. TimeXtender Data Integration builds and maintains the governed semantic layer the MCP Server exposes. You need both: Data Integration prepares and governs the data, and the MCP Server makes that governed layer accessible to AI tools and agents.
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What authentication and access controls are available?
The MCP Server supports API key authentication for simpler setups and OAuth-based authentication for enterprise deployments, including a Claude custom connector and ChatGPT integration. Access can be scoped per Deliver instance or business domain, and all queries are executed in read-only mode with full audit logging.
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What is the difference between Stdio mode and HTTP streaming?
Stdio mode connects the MCP Server directly to a local AI client such as Claude Desktop and is best suited for development and testing. HTTP streaming runs the MCP Server as a shared service accessible to remote AI tools and enterprise deployments, with API key authentication and centralized audit logging.
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Can the MCP Server be deployed on-premises?
Yes. On-premises MCP servers connect to external AI tools through a relay tunnel that establishes an outbound connection to a SignalR relay hosted in TimeXtender Data Platform. Incoming AI tool calls route through the relay without requiring any inbound firewall ports to be opened. Your data never leaves your network.
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How do I get access?
The TimeXtender MCP Server is currently available in Public Preview. Request Early Access here.