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mcp-toolkit

59 MCP servers for React + TypeScript automation — component scaffolding, CRUD feature factory, WCAG checks, test gen, TS enforcement, render/perf analysis, CRA→Vite migration, legacy analysis. npx-installable.

Install / Use

claude mcp add Nishant-Chaudhary5338 -- npx -y github:Nishant-Chaudhary5338/mcp-toolkit

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

83/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
Cursor
Cline

Our assessment of mcp-toolkit

mcp-toolkit scores 83/100 on our quality scale, 2011th of 2,945 Automation skills we index.

Its MCP Server is 16 KB long, well organised into 24 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so mcp-toolkit is actively maintained.
  • Our last check on 2026-09-12 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the first 100 KB of the file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-03. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

mcp-toolkit compared with similar skills

All 4 of these similar skills score higher than mcp-toolkit; compare them before choosing.

SkillScoreStarsUpdatedFormat
mcp-toolkit (this skill)by Nishant-Chaudhary53388331d agoMCP Server
Agent-Reachby Panniantong10088.6k17d agoCLAUDE.md
headroomby headroomlabs-ai10074.3ktodayCLAUDE.md
rufloby ruvnet10073.7ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.md

Frequently asked questions

How do I install mcp-toolkit?
Run claude mcp add Nishant-Chaudhary5338 -- npx -y github:Nishant-Chaudhary5338/mcp-toolkit. The install tabs above show the steps for each supported agent.
Which AI agents does mcp-toolkit work with?
It is written for Claude Code, Claude Desktop, Cursor and Cline, as a MCP Server file. Other agents that read the same format can often use it too.
Is mcp-toolkit safe to use?
Our scan of the first 100 KB of the file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mcp-toolkit still maintained?
The repository was last updated yesterday, so mcp-toolkit is actively maintained.

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 alone | Agent + one MCP tool | Tool called directly | |---|---|---|---| | Analysis tasks (review, a11y, legacy-code) | baseline | ~41% lower cost | ~100% free, ~15× faster (when in scope) | | All 6 tasks, blended | baseline | ~19% lower cost | — | | New code (component, tests) | baseline | roughly cost-neutral | not 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 it | What you get | |---|---| | Claude Desktop (MCP Apps) | Renders inline in the conversation (sandboxed iframe) | | Claude Code · Cursor · CLI | JSON plus a clickable file:// link to the same dashboard | | Any browser | The 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

| Tool | What it does | |---|---| | component-factory | Scaffold React components from 41 shadcn/ui templates — with tests + Storybook | | component-reviewer | Audit TypeScript errors, a11y issues, test coverage — graded A+ to F | | component-fixer | Auto-fix broken imports, missing deps, inline style refactors | | component-improver | Extend a component with variants, comprehensive stories, and edge-case tests | | storybook-generator | Auto-generate Storybook stories — Default, variants, sizes, callbacks, play functions |

Code Quality & Modernisation

| Tool | What it does | |---|---| | typescript-enforcer | Scan for any types, unsafe casts, missing modifiers — 7 rules, scored 0–10 | | accessibility-checker | WCAG 2.1 audit — alt text, label associations, ARIA roles, keyboard navigation | | a11y-autofixer | Apply safe a11y fixes (img alt, blank rel, htmlFor, tabIndex) | | quality-pipeline | 5-stage audit (tests · types · perf · a11y · design tokens), graded A–F | | review-gate | Static A–F quality gate for generated/changed code | | enforce-design-tokens | Flag hardcoded colors/spacing/radii/shadows, suggest tokens, grade A–F | | render-analyzer | Detect unnecessary re-renders, missing memo, inline objects/functions | | performance-audit | Memory leaks, heavy imports, unoptimized images, deep nesting | | bundle-budget-guard | Gate gzipped asset sizes against per-pattern budgets — fail CI on regressions | | code-modernizer | AST-based JS/JSX → TypeScript conversion, PropTypes → interfaces | | react-compiler-migrator | Flag redundant useMemo/useCallback/memo for the React 19 Compiler | | codemod-runner | Generic regex codemod engine + named built-ins; dry-run by default | | refactor-executor | Execute refactor plans safely — move/rename/split, update imports, rollback | | redux-state-analyzer | Audit Redux for anti-patterns (selectors, mutations, RTK Query migration hints) | | api-contract-differ | Diff two API snapshots → breaking vs additive changes — CI gate against breaks | | i18n-extractor | Scan JSX for hardcoded strings → i18n keys + message catalog | | generate-tests | Analyze a TS/React source file and generate a Vitest test suite | | test-gap-analyzer | Find unimplemented functions, uncovered branches, missing edge cases | | test-data-factory | FieldSchema → typed fixture factory for tests/stories | | fix-failing-tests | Run the suite, classify failures by root cause, generate targeted fixes | | legacy-analyzer | 22-tool health audit for any React/Next.js/Remix app — scores 0–100, migration hints |

Monorepo & Infrastructure

| Tool | What it does | |---|---| | dep-auditor | Unused deps, duplicate versions, circular imports, bundle impact analysis | | monorepo-manager | Workspace listing, dependency graph, health check, shared dep finder | | lighthouse-runner | Static HTML audit — meta tags, a11y, OG/Twitter cards, canonical, JSON-LD | | json-viewer | Interactive 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.

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

CRA → Vite

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

| Tool | What it does | |---|---| | cra-to-vite | Orchestrator — runs the six tools below in sequence, one call, graded report | | craconfig-analyzer | Deep CRA config inspection (react-scripts, env, proxy, jest, browserslist, SVG) | | dependency-remapper | CRA deps → Vite plan (remove/add with versions + unmapped) | | env-var-migrator | REACT_APP_* → import.meta.env.VITE_*, in source and .env files | | jest-to-vitest-migrator | jest.* → vi.*, adds the right imports, flags manual-review cases | | vite-project-scaffolder | Generates vite.config.ts, main.tsx, strict tsconfig, a Vitest block | | webpack-config-translator | Best-effort webpack/CRACO → Vite translation + manual-review list |

Boilerplate

| Tool | What it does | |---|---| | barrel-generator | Generate an index.ts barrel re-exporting a folder — no drifting export lists | | type-from-json | JSON sample → plain TS interfaces (nested objects become their own interfaces) | | zustand-store-generator | State shape → typed Zustand store (setters, reset, persist/devtools) | | svg-to-component | Raw SVG → typed React component (SVGProps, currentColor) — SVGR-grade | | env-config-generator | Zod-validated typed env module (Vite/Next) — fail fast on missing/bad vars | | states-scaffolder | Loading/empty/error state components + a switch wrapper for a data view |

Meta

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Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated1d ago
Forks0

Languages

TypeScript

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low