MCPFusion Developer Prover MCP Connector for Claude
A+LLMs have never been trained on MCPFusion. They use raw z.object(), skip Presenters, mix semantic verbs, and violate MVA layering. This tool teaches the framework through structured reflection — forcing the agent to prove it understands defineModel(), Presenters, and the Model-View-Ag...
LLMs don't know MCPFusion. They weren't trained on it. They fall back to what they know: raw Zod schemas, manual success() wrapping, inline JSON responses, and flat file structures. The result: MCP servers that work but violate every MVA principle.
The Problem
- Raw z.object() — Bypasses defineModel(), losing hidden field stripping, fillable profiles, timestamps, and .toApi() alias resolution
- Missing Presenters — Handlers dump raw JSON, losing egress validation, JIT rules, server-rendered UI, agentLimit, and action suggestions
- Wrong semantic verbs — f.mutation() for reads, f.query() for writes — misleading the LLM about side effects
- Manual success() — Wrapping data manually when .handle() does it automatically
- Inline schemas — z.object() in tool files instead of Models in models/ layer
How It Works
5 Decision Pivots teach and validate MCPFusion mastery:
- mvaRespected — Model→Presenter→Tool layering, downward imports only
- modelUsed — defineModel() for every entity with m.casts(), m.hidden(), m.fillable()
- presenterAttached — .returns(Presenter) on every data-returning tool
- semanticVerbCorrect — f.query()=read, f.mutation()=write, f.action()=neutral
- fileStructureCorrect — models/, views/, agents/ separation
Related Connectors
MRR and ARR Calculator MCP
Calculate Monthly Recurring Revenue (MRR) and Annual Recurring Revenue (ARR) from subscription data, broken down by plan segment.
ABC-XYZ Inventory Classifier MCP
Classify inventory items by value (ABC) and demand stability (XYZ) to optimize management strategies.
Pet Monthly Cost Estimator MCP
Estimate the monthly financial commitment for pet care based on species, size, and location.
Song Structure Timer MCP
Calculate musical timing, section durations, and full song timelines based on BPM and meter.