Nishant-Chaudhary5338/mcp-toolkit

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πŸ“‡ 🏠 🍎 πŸͺŸ 🐧 - 9 MCP servers for React + TypeScript development automation β€” component scaffolding, dependency auditing, WCAG accessibility checking, test generation, TypeScript enforcement, and monorepo management. 134 tests, CI on Node 20+22.

Quick Install

One-Click IDE Configuration
claude_desktop_config.json
{
  "mcpServers": {
    "nishant-chaudhary5338-mcp-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "nishant-chaudhary5338-mcp-toolkit"
      ]
    }
  }
}
Or

Using an AI coding agent (Claude Code, Cursor, etc.)? Copy a ready-made prompt that tells it to fetch the setup instructions and install this server for you.

Documentation Overview

mcp-toolkit

MCP servers for React + TypeScript development automation. Works with Claude Desktop, Cline, Cursor β€” and as plain CLI scripts β€” 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 β€” 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 β€” read a file, think, write a file, read it back to check its own work, repeat β€” 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 β€” a few sources back it up with real numbers. LeanOps measured agent loops running about 3.2Γ— the tokens of a single direct call at 5 steps, ~30Γ— at 50 steps, and past 100Γ— once you're deep into a typical build-and-debug session β€” 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 200Γ— less per interaction on the same team. And a recent arXiv paper on agentic tokenomics puts agentic tasks at roughly 1000Γ— the tokens of single-turn work, with up to 30Γ— variance run to run on the exact same task β€” 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 β€” 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 10–100Γ—, 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 β€” 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, ~15Γ— faster (when in scope)
All 6 tasks, blendedbaseline~19% lower costβ€”
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 β€” 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 β€” 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 β€” 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 Β· Cursor Β· 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 β€” grade, category cards, filterable issue table. Generators (component-factory, code-modernizer, etc.) get a result view β€” 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 β€” with tests + Storybook
component-reviewerAudit TypeScript errors, a11y issues, test coverage β€” 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 β€” Default, variants, sizes, callbacks, play functions

Code Quality & Modernisation

ToolWhat it does
typescript-enforcerScan for any types, unsafe casts, missing modifiers β€” 7 rules, scored 0–10
accessibility-checkerWCAG 2.1 audit β€” alt text, label associations, ARIA roles, keyboard navigation
a11y-autofixerApply safe a11y fixes (img alt, blank rel, htmlFor, tabIndex)
quality-pipeline5-stage audit (tests Β· types Β· perf Β· a11y Β· 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 β€” fail CI on regressions
code-modernizerAST-based JS/JSX β†’ TypeScript conversion, PropTypes β†’ 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 β€” 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 β†’ breaking vs additive changes β€” CI gate against breaks
i18n-extractorScan JSX for hardcoded strings β†’ 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 β†’ 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 β€” 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 β€” meta tags, a11y, OG/Twitter cards, canonical, JSON-LD
json-viewerInteractive HTML JSON viewer β€” 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 β†’ typed FieldSchema (types, FK relations, table/form defaults)
zod-schema-generatorFieldSchema β†’ Zod schema + inferred TS type
api-client-generatorFieldSchema β†’ RTK Query slice or TanStack Query hooks, with cache tags
form-generatorFieldSchema β†’ React Hook Form + Zod form (create / edit)
table-generatorFieldSchema β†’ TanStack Table (sort / filter / paginate)
detail-generatorFieldSchema β†’ typed detail view + delete action
crud-composerWire the pieces into routes β€” React Router 7 or Next App Router
form-wizard-generatorFieldSchema β†’ multi-step RHF+Zod wizard with per-step validation
msw-mock-generatorFieldSchema β†’ MSW handlers + seed data, so the feature runs against a mock API
workflow-runnerRuns the whole chain end-to-end, gated by review-gate β€” files + journal + A–F grade
e2e-generatorFieldSchema → Playwright CRUD flow spec (create→edit→delete + a11y)
playwright-scaffolderScaffold the Playwright harness β€” config, fixtures, base POM, auth setup
visual-regression-setupPlaywright toHaveScreenshot specs for routes/stories β€” catch CSS drift

CRA β†’ Vite

Migrate a Create React App project to Vite: analyze β†’ plan β†’ scaffold β†’ migrate β†’ verify.

ToolWhat it does
cra-to-viteOrchestrator β€” 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 β†’ Vite plan (remove/add with versions + unmapped)
env-var-migratorREACT_APP_* β†’ import.meta.env.VITE_*, in source and .env files
jest-to-vitest-migratorjest.* β†’ 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 β†’ Vite translation + manual-review list

Boilerplate

ToolWhat it does
barrel-generatorGenerate an index.ts barrel re-exporting a folder β€” no drifting export lists
type-from-jsonJSON sample β†’ plain TS interfaces (nested objects become their own interfaces)
zustand-store-generatorState shape β†’ typed Zustand store (setters, reset, persist/devtools)
svg-to-componentRaw SVG β†’ typed React component (SVGProps, currentColor) β€” SVGR-grade
env-config-generatorZod-validated typed env module (Vite/Next) β€” 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 β€” 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 β†’ code-modernizer β†’ typescript-enforcer β†’ generate-tests
Component Quality Pipelinecomponent-factory β†’ component-reviewer β†’ accessibility-checker β†’ storybook-generator
Render Performance Auditrender-analyzer β†’ performance-audit β†’ quality-pipeline
App Health Checklegacy-analyzer β†’ component-reviewer β†’ generate-tests
Dependency Healthdep-auditor [unused β†’ duplicates β†’ bundle-impact] β†’ 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
        β”‚  JSON-RPC over stdio
        β–Ό
   MCP Server (e.g. typescript-enforcer)
        β”‚
        β–Ό
   Tool handlers (your code)

Each server extends McpServerBase from tools/shared/ β€” 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 β€” 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 β€” 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 β€” 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 β€” 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 β€” how to scaffold a new tool, write tests, and open a PR.

Stack

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

Built by

Nishant Chaudhary β€” Senior Frontend Engineer Β· nishantchaudhary.dev@gmail.com

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

MIT License

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