Connect The New York Times to Claude through Jourier's bespoke data layer. Customer-owned pipeline, hosted on your cloud or by Jourier.
Jourier builds a Model Context Protocol (MCP) server that exposes your The New York Times data to Claude. Claude sees structured tool calls (search, read, query, write) and returns deterministic responses. No CSV exports, no copy-paste, no API hallucination. Your team can ask Claude questions about your The New York Times data, draft replies that reference it, and run enrichment workflows with full The New York Times context.
The MCP server reads from the same Data Hub that feeds your dashboards and bespoke applications. One modeled layer, many consumers. Claude sees the same numbers your team sees in BI, with the same definitions and the same governance.
Public data sources change definitions and methodologies on their own roadmap. Jourier wraps The New York Times in a stable internal contract so changes upstream surface as code review rather than as silent shifts in the analyses that depend on them.
Anthropic's enterprise data-handling posture means The New York Times data crossing into Claude is governed by clear contractual terms. Jourier wires the MCP server to run on your infrastructure or on Jourier's, scopes Claude's tool access through Data Hub permissions, and audits every tool call — so the integration is traceable end-to-end.
Result: Claude can answer questions about The New York Times data with the same accuracy your dashboards have, because both surfaces read from one modeled layer rather than from separate connectors.
MCP (Model Context Protocol) is the standard Claude uses to talk to external data. Instead of teaching Claude every The New York Times API directly, Jourier builds one MCP server that wraps the Data Hub. Claude reads from a clean modeled layer, the same one your BI dashboards and bespoke applications read from. Permissions, governance, and audit logs live in the layer (not in Claude), so what Claude can see and do is bounded by your team, not by Anthropic's defaults.
Yes. Jourier builds a Model Context Protocol (MCP) server that wraps your The New York Times integration in the Data Hub. Claude sees structured tool calls (search, read, query, optionally write) and returns deterministic responses against the same modeled tables that feed your applications and reports. You can ask Claude questions about The New York Times data, run enrichment workflows, draft replies that reference live records, or have it generate the same dashboards rendered inline in chat. The MCP server runs in your environment or on Jourier's infrastructure, so Claude pulls only the data your team has authorized.
Only the slices Claude explicitly queries when a user invokes a tool. The MCP server itself runs on your infrastructure or Jourier's, not on Anthropic's. Through Data Hub permissions you control which The New York Times fields, rows, and records Claude can access. Sensitive columns can be masked or excluded entirely; queries can be scoped per user, per role, or per workspace. Audit logs of every tool call live in the layer, so you can review exactly what Claude touched.
Yes, scoped to the actions you authorize. The MCP server can expose write tools (create record, update field, post comment, send message) that Claude invokes after a confirmation step. Jourier scopes these tools tightly with allow-lists per role so Claude can't act outside the intended workflow. Two-way patterns we see often: Claude drafts an outbound message, a human approves, Claude posts it back to The New York Times. Or Claude updates a status field after a multi-step research workflow finishes.
Where The New York Times supports change-data-capture, the data Claude reads is current within seconds. Otherwise scheduled polling and webhooks keep the layer current at the cadence your team sets — typically 5 to 60 minutes for operational data, hourly to daily for slower-moving sources. The MCP server reads from the Data Hub, so Claude sees the same data your dashboards and applications see. No stale snapshots, no second source of truth.
First sync is usually instant to one day. A scoped MCP engagement covering The New York Times plus the workflows it powers (external-signal reporting, macro-trend analytics) runs typically two to six weeks before going to production. Bigger transformations are split into phases, each shipping value before the next begins. Jourier handles the The New York Times integration, the Data Hub modeling, the MCP tool definitions, the access controls, and the runbooks. Your team validates the workflows.
Yes. The MCP server is designed for team use. Each user authenticates against your identity provider (Okta, Microsoft, Google) and the server scopes their queries by role, region, or department. Two team members hitting the same MCP tool will both get answers consistent with the underlying data layer — and consistent with each other. Concurrency, rate limits, and per-user quotas are handled in the server.
You do. Jourier delivers the MCP server, the Data Hub it wraps, the data model, the access-control config, and the documentation as part of the engagement. Self-host or have us host. Hand it to another vendor whenever you want, or take it over with your own team. No per-seat licences from Jourier, no platform fees if you self-host. The Claude subscription stays directly with Anthropic.
Bespoke project, scoped to the The New York Times data and the workflows that matter. Pricing is project-based, not subscription-based: a fixed-fee build, then optional managed-services if you want Jourier to run the server. No per-seat licences from us, no platform fees if you self-host. Claude usage (your seats, your tokens) stays directly billed by Anthropic. We size every engagement to the data layer's actual scope, not to a one-size-fits-all price card.
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