Who it is for
FP&A and finance teams whose numbers are spread across ERP, CRM, and warehouse systems.
Plain language questions across connected finance data
Overview
Aleph is an FP&A platform, and its MCP server connects that data to the assistant. The integration is framed around a governed source of truth: structured data drawn together from more than 200 systems, among them ERP, CRM, HRIS, spreadsheets, and the data warehouse.
Questions can be asked in ordinary language, reports built, and analyses run, with each result traceable back to the underlying source. The same connection drives automations in other tools, with Slack and Linear named in the record as examples of where that output can land once an analysis is finished.
FP&A and finance teams whose numbers are spread across ERP, CRM, and warehouse systems.
Every output is traceable back to the system the figure came from.
Availability
Aleph is listed in the ChatGPT apps directory only. Aleph has no connector under the same domain in the Claude directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.
ChatGPT apps are built on MCP, and the same server can back a Claude connector, so the absence is a distribution decision rather than a technical one.
ChatGPT listing
Nearby
Read-only questions about accounts receivable recovery data
ChatGPT
Multichain block explorer data: addresses, tokens, and contracts
Claude
Multi-currency personal finance questions in plain language
ChatGPT
Campfire ERP records queried and exported from a conversation
Claude
Query Cube financial planning data through chat
ChatGPT
Underwrite and compare U.S. rental property deals
ChatGPT
This is an independent catalogue entry compiled by Node8 from Aleph's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Aleph, and inclusion here is not an endorsement.
Node8 builds MCP servers end to end: deciding which tools are worth exposing, the authentication and permission model, the review submissions, and the onboarding that gets them used. One server serves ChatGPT, Claude, and Microsoft Copilot.