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Mcp React Toolkit

nishant-chaudhary5338/mcp-toolkit
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Summary

A comprehensive suite of 17 production-ready MCP servers that automate React and TypeScript workflows end to end. It exposes 77 tools spanning component scaffolding (41 shadcn/ui templates), TypeScript enforcement (7 strictness rules), accessibility audits (WCAG 2.1), test generation (Vitest), performance analysis, and monorepo dependency management. Each server runs independently via stdio and connects to Claude Desktop, Cline, or Cursor. You can chain them into pipelines: legacy-analyzer scores your codebase 0 to 100, code-modernizer converts JS to TypeScript with AST transforms, typescript-enforcer catches unsafe any types, and generate-tests produces coverage. Ships with 450 passing tests, a React 19 UI demo, and an Express bridge for HTTP proxying. Install per server or use the full toolkit for automated code modernization and quality gates.

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mcp-toolkit

MCP servers for React + TypeScript development automation. Works with Claude Desktop, Cline, Cursor — and as plain CLI scripts — one protocol, zero duplication.

npm CI License: MIT MCP SDK

59 tools across 9 categories — component scaffolding, code quality, a full CRUD-feature factory, CRA→Vite migration, and more. Every tool ships as its own MCP server, built and tested independently.


Why this exists — the token math

Here's the thing nobody tells you when you start building agentic workflows: the loop itself is what's expensive, not the model. An agent working without any composed tools does everything the slow way — read a file, think, write a file, read it back to check its own work, repeat — and every single one of those turns re-sends the whole conversation so far as input tokens. By the time you're 20 steps into a real multi-file task, that resent context alone can be running 50K+ tokens per call. It adds up fast, and it's not really about which model you're using.

I didn't just take that on faith — a few sources back it up with real numbers. LeanOps measured agent loops running about 3.2× the tokens of a single direct call at 5 steps, ~30× at 50 steps, and past 100× once you're deep into a typical build-and-debug session — because re-sent context is roughly 62% of the bill. Vantage found similar: real agentic sessions run an input-to-output ratio around 25:1 (a direct call is closer to 1:1), with a 50-turn session routinely hitting a million input tokens, and non-agentic usage on comparable work costing something like 200× less per interaction on the same team. And a recent arXiv paper on agentic tokenomics puts agentic tasks at roughly 1000× the tokens of single-turn work, with up to 30× variance run to run on the exact same task — so it's not just expensive, it's unpredictable.

That's the problem this toolkit's composed tools are built to get rid of. workflow-runner's schema_to_feature and cra-to-vite don't add one more tool call into an agent's existing loop — they replace what would otherwise be 7 or 8 separate read/write/verify turns with a single in-process call that runs the whole generator or migration pipeline and hands back the finished result. That's the "50-turn loop collapses into 1 call" shape the research above says saves 10–100×, which is a very different thing from just bolting one extra tool onto an unchanged loop (that only gets you the 20–40% range).

To keep myself honest, I also ran a real, measured benchmark rather than just trusting the theory — ax-benchmark, 6 tasks, claude -p running headless, three arms (agent alone, agent with one MCP tool call added into its loop, and the tool called directly with no agent at all). This is a conservative baseline on purpose, since it only tests adding a single tool call into an otherwise unchanged loop, not the deeper pipeline collapse described above:

Agent aloneAgent + one MCP toolTool called directly
Analysis tasks (review, a11y, legacy-code)baseline~41% lower cost~100% free, ~15× faster (when in scope)
All 6 tasks, blendedbaseline~19% lower cost—
New code (component, tests)baselineroughly cost-neutralnot applicable to novel work

Two things worth being upfront about: cost is the fair metric here, not wall-time — the agent-alone arm ran headless with no shell access and over-explored on open-ended tasks, which inflated its time without touching its actual cost. And on small, novel, single-file work, the overhead of the tool's structured output can offset what it saves — the real win shows up on repetitive, mechanical, multi-file work, which also happens to be exactly where the multi-turn-loop tax above hits hardest.


Install

Published on npm as mcp-react-toolkit. No clone or build required:

npx mcp-react-toolkit --list            # list all 59 tools
npx mcp-react-toolkit legacy-analyzer   # run one as an MCP server (stdio)

Add it to Claude Desktop / Cursor / Cline:

// claude_desktop_config.json
{
  "mcpServers": {
    "legacy-analyzer": { "command": "npx", "args": ["-y", "mcp-react-toolkit", "legacy-analyzer"] }
  }
}

Swap in any tool name from npx mcp-react-toolkit --list. Restart your client and the tool appears.


Interactive dashboards

Most MCP tools return raw JSON. These return that JSON plus an interactive HTML dashboard — health score, sortable issue triage, light/dark toggle, and one-click fix actions that call other tools in the toolkit. One self-contained artifact, no server, no external requests:

Where you run itWhat you get
Claude Desktop (MCP Apps)Renders inline in the conversation (sandboxed iframe)
Claude Code · Cursor · CLIJSON plus a clickable file:// link to the same dashboard
Any browserThe same HTML, standalone

Analysis tools (legacy-analyzer, component-reviewer, dep-auditor, etc.) get an audit view — grade, category cards, filterable issue table. Generators (component-factory, code-modernizer, etc.) get a result view — files created/changed, diffs, follow-ups. Powered by the internal @mcp-showcase/ui-kit package: dependency-free, ~30 KB per report.


Tools

Component Development

ToolWhat it does
component-factoryScaffold React components from 41 shadcn/ui templates — with tests + Storybook
component-reviewerAudit TypeScript errors, a11y issues, test coverage — graded A+ to F
component-fixerAuto-fix broken imports, missing deps, inline style refactors
component-improverExtend a component with variants, comprehensive stories, and edge-case tests
storybook-generatorAuto-generate Storybook stories — Default, variants, sizes, callbacks, play functions

Code Quality & Modernisation

ToolWhat it does
typescript-enforcerScan for any types, unsafe casts, missing modifiers — 7 rules, scored 0–10
accessibility-checkerWCAG 2.1 audit — alt text, label associations, ARIA roles, keyboard navigation
a11y-autofixerApply safe a11y fixes (img alt, blank rel, htmlFor, tabIndex)
quality-pipeline5-stage audit (tests · types · perf · a11y · design tokens), graded A–F
review-gateStatic A–F quality gate for generated/changed code
enforce-design-tokensFlag hardcoded colors/spacing/radii/shadows, suggest tokens, grade A–F
render-analyzerDetect unnecessary re-renders, missing memo, inline objects/functions
performance-auditMemory leaks, heavy imports, unoptimized images, deep nesting
bundle-budget-guardGate gzipped asset sizes against per-pattern budgets — fail CI on regressions
code-modernizerAST-based JS/JSX → TypeScript conversion, PropTypes → interfaces
react-compiler-migratorFlag redundant useMemo/useCallback/memo for the React 19 Compiler
codemod-runnerGeneric regex codemod engine + named built-ins; dry-run by default
refactor-executorExecute refactor plans safely — move/rename/split, update imports, rollback
redux-state-analyzerAudit Redux for anti-patterns (selectors, mutations, RTK Query migration hints)
api-contract-differDiff two API snapshots → breaking vs additive changes — CI gate against breaks
i18n-extractorScan JSX for hardcoded strings → i18n keys + message catalog
generate-testsAnalyze a TS/React source file and generate a Vitest test suite
test-gap-analyzerFind unimplemented functions, uncovered branches, missing edge cases
test-data-factoryFieldSchema → typed fixture factory for tests/stories
fix-failing-testsRun the suite, classify failures by root cause, generate targeted fixes
legacy-analyzer22-tool health audit for any React/Next.js/Remix app — scores 0–100, migration hints

Monorepo & Infrastructure

ToolWhat it does
dep-auditorUnused deps, duplicate versions, circular imports, bundle impact analysis
monorepo-managerWorkspace listing, dependency graph, health check, shared dep finder
lighthouse-runnerStatic HTML audit — meta tags, a11y, OG/Twitter cards, canonical, JSON-LD
json-viewerInteractive HTML JSON viewer — collapsible, searchable, dark/light

CRUD Factory

One JSON API sample (or OpenAPI schema) fans out into a full, typed CRUD feature. Every generator keys off the shared FieldSchema contract, so the pieces compose.

ToolWhat it does
infer-fieldsJSON sample / OpenAPI → typed FieldSchema (types, FK relations, table/form defaults)
zod-schema-generatorFieldSchema → Zod schema + inferred TS type
api-client-generatorFieldSchema → RTK Query slice or TanStack Query hooks, with cache tags
form-generatorFieldSchema → React Hook Form + Zod form (create / edit)
table-generatorFieldSchema → TanStack Table (sort / filter / paginate)
detail-generatorFieldSchema → typed detail view + delete action
crud-composerWire the pieces into routes — React Router 7 or Next App Router
form-wizard-generatorFieldSchema → multi-step RHF+Zod wizard with per-step validation
msw-mock-generatorFieldSchema → MSW handlers + seed data, so the feature runs against a mock API
workflow-runnerRuns the whole chain end-to-end, gated by review-gate — files + journal + A–F grade
e2e-generatorFieldSchema → Playwright CRUD flow spec (create→edit→delete + a11y)
playwright-scaffolderScaffold the Playwright harness — config, fixtures, base POM, auth setup
visual-regression-setupPlaywright toHaveScreenshot specs for routes/stories — catch CSS drift

CRA → Vite

Migrate a Create React App project to Vite: analyze → plan → scaffold → migrate → verify.

ToolWhat it does
cra-to-viteOrchestrator — runs the six tools below in sequence, one call, graded report
craconfig-analyzerDeep CRA config inspection (react-scripts, env, proxy, jest, browserslist, SVG)
dependency-remapperCRA deps → Vite plan (remove/add with versions + unmapped)
env-var-migratorREACT_APP_* → import.meta.env.VITE_*, in source and .env files
jest-to-vitest-migratorjest.* → vi.*, adds the right imports, flags manual-review cases
vite-project-scaffolderGenerates vite.config.ts, main.tsx, strict tsconfig, a Vitest block
webpack-config-translatorBest-effort webpack/CRACO → Vite translation + manual-review list

Boilerplate

ToolWhat it does
barrel-generatorGenerate an index.ts barrel re-exporting a folder — no drifting export lists
type-from-jsonJSON sample → plain TS interfaces (nested objects become their own interfaces)
zustand-store-generatorState shape → typed Zustand store (setters, reset, persist/devtools)
svg-to-componentRaw SVG → typed React component (SVGProps, currentColor) — SVGR-grade
env-config-generatorZod-validated typed env module (Vite/Next) — fail fast on missing/bad vars
states-scaffolderLoading/empty/error state components + a switch wrapper for a data view

Meta

ToolWhat it does
mcp-tool-factoryScaffold + wire + verify new MCP tools in this package
mcp-tool-improviserAnalyze + improve MCP tools across 7 dimensions — proposed diffs, apply, rollback
docs-generatorGenerate a README (from an MCP tool) or an API reference (from a TS module + JSDoc)

Automation workflows

Chain tools together for common tasks:

WorkflowChain
Code Modernizationlegacy-analyzer → code-modernizer → typescript-enforcer → generate-tests
Component Quality Pipelinecomponent-factory → component-reviewer → accessibility-checker → storybook-generator
Render Performance Auditrender-analyzer → performance-audit → quality-pipeline
App Health Checklegacy-analyzer → component-reviewer → generate-tests
Dependency Healthdep-auditor [unused → duplicates → bundle-impact] → monorepo-manager
Full CRUD featureworkflow-runner (composes the whole CRUD Factory chain in one call)
CRA → Vite migrationcra-to-vite (composes the whole CRA→Vite chain in one call)

How MCP works

Claude Desktop / Cline / Cursor
        │  JSON-RPC over stdio
        ▼
   MCP Server (e.g. typescript-enforcer)
        │
        ▼
   Tool handlers (your code)

Each server extends McpServerBase from tools/shared/ — handles transport, routing, and error formatting. Adding a new tool is ~50 lines:

import { McpServerBase } from '@mcp-showcase/shared';

class MyTool extends McpServerBase {
  constructor() {
    super({ name: 'my-tool', version: '1.0.0' });
  }

  protected registerTools(): void {
    this.addTool('do_thing', 'Does a thing', {
      type: 'object',
      properties: { path: { type: 'string', description: 'Target path' } },
      required: ['path'],
    }, async (args) => {
      const { path } = args as { path: string };
      return this.success({ result: `Processed ${path}` });
    });
  }
}

new MyTool().run();

Run from source (contributors)

Prefer npm for everyday use (see Install). Clone only to hack on the tools or run the showcase UI:

git clone https://github.com/Nishant-Chaudhary5338/mcp-toolkit.git
cd mcp-toolkit
npm install
npm run build
npm test          # run the full suite across all tools
npm run dev       # server on :3002, client on :5173

Point Claude Desktop at a local build the same way as Install, swapping npx -y mcp-react-toolkit <name> for node /path/to/mcp-toolkit/tools/<name>/build/index.js.

Use as a CLI / in CI

Every tool's build/index.js has a #!/usr/bin/env node shebang — pipe a JSON-RPC message to it on stdin:

# Health score + migration hints for a full app
echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"analyze-legacy-app","arguments":{"path":"/path/to/app"}}}' \
  | node tools/legacy-analyzer/build/index.js

# Review a component — grade A+ to F
echo '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"review","arguments":{"path":"src/components/Button.tsx"}}}' \
  | node tools/component-reviewer/build/index.js

# List a tool's available commands
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node tools/legacy-analyzer/build/index.js

Testing

Every tool has a co-located Vitest suite covering its core logic directly — no MCP transport required.

npm test                              # all tools
npm run test -w tools/legacy-analyzer # single tool

CI runs on every push and PR against Node 20 and 22.


Companion package

code-graph-indexer — indexes any TS/React/Next.js repo into a queryable code graph (files, components, functions, and the edges between them) and answers structural questions: who calls this, blast radius, dead code, semantic search. Same family, separate package.

npx code-graph-indexer ui --root .

Contributing

See CONTRIBUTING.md — how to scaffold a new tool, write tests, and open a PR.

Stack

TypeScript strict · Node.js · MCP SDK 1.12 · Vitest · React 19 · Vite · Tailwind CSS · Express

Built by

Nishant Chaudhary — Senior Frontend Engineer · nishantchaudhary.dev@gmail.com

Also see: dashcraft · react-present · ai-builder

MIT License

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Packagemcp-react-toolkit
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UpdatedMay 23, 2026
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