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PranayMahendrakar

MCP Toolkit

MCP Toolkit 🧰

A tiny, free, open-source plugin for both Claude and ChatGPT.

It's a single MCP (Model Context Protocol) server. Because Claude and ChatGPT both now speak MCP, the same server plugs into both β€” you build it once and one public URL works everywhere.

Tools it adds to the AI

The theme: things AI is confidently bad at. Every tool here computes rather than guesses.

Tool

What it does

Why it helps

get_current_time

Real current time in any timezone

LLMs don't actually know "now"

calculate

Precise arithmetic (+ - * / % ^, parentheses)

LLMs make math mistakes

word_count

Exact word / character / sentence stats

LLMs can't reliably count

test_regex

Actually runs your regex against test strings β€” real matches, positions, capture groups

LLMs guess regex behaviour and are often wrong

diff_text

Exact line-by-line diff with true added/removed counts

LLMs miscount and invent changes when comparing by eye

estimate_tokens

Exact char/word counts + an approximate token range, and cost if you supply your rate

Sizing prompts and budgeting spend

validate_data

Validates JSON/YAML with a real parser, pinpointing the error line and column

LLMs guess at syntax errors

decode_jwt

Decodes header + payload, renders exp/iat as real dates, flags expiry

Inspecting tokens without a website

All are read-only β€” they can't change or delete anything.

Honest limits (deliberately stated)

  • estimate_tokens is an estimate, not a BPE tokenizer (~4 chars/token heuristic, typically Β±10–20% on English prose; code and non-English text differ). The character and word counts are exact. It never hardcodes model prices β€” you pass your own rate, because prices change.

  • decode_jwt decodes; it does not verify. Verifying a signature needs the key. Anyone can read a JWT's contents β€” only the key holder can prove it's authentic. Don't paste live production tokens into any third-party tool, this one included.

  • diff_text caps at 300 lines per side β€” the diff is O(nΓ—m) and the free tier allows 10ms CPU per request.


The one thing to understand first

GitHub stores your code for free, but it can't run a server. (GitHub Pages only serves static files.) To be added to live Claude/ChatGPT, your server needs a public https:// URL that's actually running. So we host the code on GitHub and run it on Cloudflare Workers' free tier.

   Your code on GitHub  ──deploy──▢  Cloudflare Workers (free)  ──▢  https://mcp-toolkit.<you>.workers.dev/mcp
        (free)                            (runs 24/7)                          β”‚
                                                                               β”œβ”€β”€β–Ά paste into Claude
                                                                               └──▢ paste into ChatGPT

Cloudflare Workers' free tier is 100,000 requests/day β€” plenty for personal use, and it never sleeps.


Related MCP server: axiom-calculator-mcp

What you need (all free)


Step 1 β€” Get the code & run it locally

# from the mcp-toolkit folder
npm install
npm run dev

You'll see it running at http://localhost:8787. Open http://localhost:8787/ in a browser β€” you should see a "βœ” live" page. (Your local MCP endpoint is http://localhost:8787/mcp.)

Tip: to sanity-check the code before deploying, run npm run type-check.


Step 2 β€” Deploy it (get your public URL)

npx wrangler deploy

The first time, Wrangler opens a browser to log into Cloudflare. When it finishes it prints your live URL:

https://mcp-toolkit.<your-account>.workers.dev

Your connector URL is that address with /mcp on the end:

https://mcp-toolkit.<your-account>.workers.dev/mcp

Open the base URL in a browser to confirm you see the "βœ” live" page. Keep the /mcp URL handy β€” you'll paste it into Claude and ChatGPT next.


Step 3 β€” Put the code on GitHub (make it public & free)

git init
git add .
git commit -m "MCP Toolkit: free MCP plugin for Claude & ChatGPT"
git branch -M main
git remote add origin https://github.com/<your-username>/mcp-toolkit.git
git push -u origin main

That's it β€” the code is now public and anyone can use it for free (MIT license).

Optional β€” auto-deploy on every push: this repo includes .github/workflows/deploy.yml. Add a CLOUDFLARE_API_TOKEN secret in your repo (Settings β†’ Secrets and variables β†’ Actions), and every git push will redeploy automatically. (Details are in the workflow file's comments.)


Step 4 β€” Add it to Claude

Works on Free, Pro, Max, Team, and Enterprise (Free is limited to one custom connector).

  1. Open claude.ai β†’ your profile/Settings β†’ Connectors (it may be under Customize β†’ Connectors).

  2. Click Add β†’ Add custom connector.

  3. Paste your URL: https://mcp-toolkit.<your-account>.workers.dev/mcp

  4. Click Add. (Leave the OAuth fields blank β€” this server needs no login.)

  5. In any chat, click the + menu β†’ Connectors, enable MCP Toolkit, then ask: "What time is it right now in Asia/Kolkata?" or "Use calculate: (349 * 12.5) / 100".

Works the same in Claude Desktop (Settings β†’ Connectors β†’ Add custom connector). On Team/Enterprise, only an organization Owner can add it.


Step 5 β€” Add it to ChatGPT

ChatGPT reaches custom MCP tools through Developer Mode (a beta). Requirements: Plus, Pro, Business, Enterprise, or Edu, on ChatGPT in a desktop web browser (not the mobile app).

  1. ChatGPT (desktop web) β†’ Settings β†’ Connectors β†’ Advanced β†’ turn on Developer mode. (On Business/Enterprise, an admin may need to enable this first.)

  2. Back in Connectors, click Create / Add. Fill in:

    • Name: MCP Toolkit

    • Description: Current time, precise math, and text stats

    • URL: https://mcp-toolkit.<your-account>.workers.dev/mcp

    • Authentication: None

  3. Save. In a chat, open the + / tools menu, enable MCP Toolkit, and ask the same kind of question.

Why Developer Mode? ChatGPT's older "Deep Research connectors" only accept servers that expose exactly two tools (search + fetch). Developer Mode lifts that restriction so any MCP tools work in normal chat. If your plan can't use Developer Mode, this general-purpose toolkit won't fit the Deep-Research path β€” but it works fully in Claude.


Add your own tool (extend it)

Open src/index.ts and copy the pattern inside init():

this.server.registerTool(
  "reverse_text",
  {
    title: "Reverse text",
    description: "Reverse a string of text.",
    inputSchema: { text: z.string() },          // a plain object of zod fields
    annotations: { readOnlyHint: true },          // read-only = no confirmation prompt
  },
  async ({ text }) => ({
    content: [{ type: "text", text: [...text].reverse().join("") }],
  }),
);

Then npx wrangler deploy again (or just git push if you set up auto-deploy). Reconnect in Claude/ChatGPT to pick up the new tool.


Troubleshooting

Problem

Fix

Connector won't connect

Make sure you used the /mcp URL and that opening the base URL in a browser shows the "βœ” live" page. The server must be publicly reachable (Cloudflare's is).

npx wrangler deploy fails to log in

Run npx wrangler login once, then retry.

ChatGPT has no "Developer mode"

It needs a Plus+ plan on desktop web; on Business/Enterprise an admin must enable it.

Tools don't appear in a chat

Open the + / connectors menu in that chat and toggle the connector on.

Don't put secrets in the URL

Never add ?token=... to the URL β€” it's blocked by the MCP spec. Use proper auth if you need it.


How it's built (for the curious)

  • Runtime: Cloudflare Workers (serverless, free tier, never sleeps)

  • Library: agents' McpAgent + the official @modelcontextprotocol/sdk

  • Transports served: /mcp (Streamable HTTP, recommended) and /sse (legacy, for older clients)

  • Auth: none (authless) β€” anyone with the URL can use the read-only tools

License

MIT β€” free for anyone to use, modify, and share. Replace <Your Name> in LICENSE.

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
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