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Manage RFQ submission, quoting, pricing, and installment planning through GraphQL.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP RFQ Processor" yet — see the docs or source repo.
Using this procurement request, submit the RFQ, generate a quote, and return itemized pricing details for each quoted line.
A complete RFQ processing result, including submission status, quote details, and itemized pricing.
Based on the generated quote with a total of 120000, create an installment payment plan and output the amount and timing of each installment.
An installment plan linked to the quote, including the number of installments, each payment amount, and schedule.
Update the quoted prices in this RFQ with new pricing and regenerate the corresponding installment payment schedule.
Updated quote pricing and a recalculated installment schedule based on the new prices.
Procurement or business teams can have an AI assistant submit an RFQ and generate quotes after receiving a request, reducing manual coordination and follow-up work.
When a quote must account for both pricing and payment timing, this tool helps an AI assistant handle pricing and create an installment plan.
Developers or product teams can integrate it into MCP-enabled AI workflows and use GraphQL to perform RFQ lifecycle operations.
It lets AI assistants manage the full RFQ lifecycle, including submission, quoting, pricing, and installment planning. The description states that it works through GraphQL.
Yes. The original description explicitly says it is for AI assistants. It fits automation workflows that need to process RFQ-related tasks.
The provided material does not include installation steps, runtime requirements, or key information. See the source repository for prerequisites.
Query purchase orders from a procurement API in natural language.
Search live RFPs, bid opportunities, and public tenders inside MCP clients.
Turn GraphQL schemas into MCP tools for natural-language API access.
Use Claude to manage quotations, customers, sales, and related Motorsights data.
Query sales data via GraphQL for orders, customers, products, and analytics.
Let AI search procurement documents and answer grounded questions.