Modelforge MCP server

ModelForge

<!-- mcp-name: io.github.Whatsonyourmind/modelforge -->

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Bulge-tier Excel financial model factory for credit & structured finance. Every cell live-formulated. Every number traceable back to the source document page it came from.

A developer tool for analysts and engineers who build credit and corporate-finance models programmatically. Covers unitranche, sponsor-backed LBO, project finance, real estate credit, NPL, structured credit, restructuring, M&A, DCF and IPO templates. Extensible to any asset class.

The moat: builds are byte-identical deterministic (same spec → same workbook bytes, every run) and ship with a verifiable manifest + certificate — formula integrity, accounting/conservation invariants (balance sheet balances, cash ties out), and SHA-256 hashes of spec + sources + workbook. Run certify --strict / build --trust-strict and it's fail-closed: non-zero exit on any integrity violation, so a broken model never ships. That's model generation with a portable audit trail — not just generation. For an AI agent or an app that emits financial models, it's the layer that turns "the LLM produced a spreadsheet" into "here is a certificate that the spreadsheet is internally correct and reproducible."

🚀 Using ModelForge in production — or want managed features, priority support, or a specific template/connector?

Tell me about your use case → — I read every one.

What this solves

• Your agent needs to produce an Excel model from a structured spec — without an LLM hallucinating numbers directly into cells. ModelForge keeps the model deterministic: the LLM writes a typed YAML spec with source IDs, and a Python builder emits the live-formula workbook.
• You need every output number to be auditable back to where it came from — without manually maintaining a sources sheet. Each hardcoded input carries a source ID, and the model's linkage graph is persisted to SQLite so a cell can be traced to its driver, source, and document page.
• You want a model that recalculates instead of being a static dump — without writing formula strings by hand. Every cell is a real Excel formula, with named ranges, sign conventions, and WORST/BASE/BEST scenario toggles wired across sheets.
• You need to gate a workbook for review — without eyeballing it. The QC tool runs an automated structural check suite (QC sheet present, named ranges populated, source references resolve, print areas set, no orphan sheets) and returns a per-check pass/fail report.
• You need to triage many candidate deals fast — without building a workbook for each one. The screening tool filters and ranks a directory of spec YAMLs by quantitative criteria (margins, leverage, IRR) on their screening: block alone.
• You want the whole pipeline available to an AI assistant — without bespoke glue code. ModelForge ships an MCP server (modelforge-mcp) so agents in Claude Code, Cursor, Cline, or ChatGPT Enterprise can list templates, build, QC, trace lineage, ingest a data room, and export deliverables.

Use it inside Claude Code, Cursor, ChatGPT Enterprise (MCP-native)

PyPI name: modelforge-finance (the unscoped modelforge was taken by source{d}'s ML library). Import name stays modelforge.

Shortened. The full README is on GitHub.