Agentfit

Name: Agentfit
Author: MukundaKatta

by MukundaKattaversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.MukundaKatta/agentfit

Install

Overview

Description from the maker (original English)

Token-aware message truncation: fit a chat history into your model's context budget.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Accounting, finance & tax

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agentfit": {
      "command": "npx",
      "args": [
        "-y",
        "@mukundakatta/agentfit-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agentfit -- npx -y @mukundakatta/agentfit-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentfit": {
      "command": "npx",
      "args": [
        "-y",
        "@mukundakatta/agentfit-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentfit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mukundakatta/agentfit-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account MukundaKatta, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Accounting, finance & taxi

More stars than 0% of the other 2919 servers in this category
Published to the registry more recently than 6% of the other 2919 servers in this category
Basic checks equal to or better than 100% of the other 2919 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Agentfit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Finance Toolkit

by JerBouma

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

Computer or cloud★ 5,496MITUpdated yesterday

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SolidInvoice

by SolidInvoice

Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.

Runs in the cloud★ 981MITUpdated 9 days ago

Install

Korea Tax Calculator

by UpstageAI

Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.

Runs on your computer★ 97MITUpdated 2 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

agentfit-mcp

MCP server for [`@mukundakatta/agentfit`](https://www.npmjs.com/package/@mukundakatta/agentfit). Lets Claude Desktop, Cursor, Cline, Windsurf, Zed, or any other MCP client estimate token counts and fit a chat history into a model's context budget on demand.

npx -y @mukundakatta/agentfit-mcp

Three tools:

`count_tokens` — estimate tokens in a string or chat-message array, with per-model estimator families (openai, anthropic, google, llama, default).
`fit_messages` — drop messages from a chat history until under a maxTokens budget. Supports drop-oldest, drop-middle, and priority strategies; honors preserveSystem, preserveFirstN, preserveLastN.
`list_estimators` — list the built-in estimator families.

Add to your client

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

"mcpServers": { "agentfit": { "command": "npx", "args": ["-y", "@mukundakatta/agentfit-mcp"] } } }

Cursor

~/.cursor/mcp.json:

"mcpServers": { "agentfit": { "command": "npx", "args": ["-y", "@mukundakatta/agentfit-mcp"] } } }

Cline / Windsurf / Zed

Same shape as above. The server speaks plain MCP over stdio, so any client that supports stdio MCP servers will work.

Tool examples

`count_tokens`:

{ "input": "hello world", "model": "claude-sonnet-4-6" }

Returns:

{ "tokens": 4, "model": "claude-sonnet-4-6" }

`fit_messages`:

"messages": [ { "role": "system", "content": "You are precise." }, { "role": "user", "content": "long context..." }, { "role": "assistant", "content": "..." }, { "role": "user", "content": "final question" } ], "maxTokens": 8000, "model": "claude-sonnet-4-6", "preserveSystem": true, "preserveLastN": 2, "strategy": "drop-oldest" }

Returns:

"messages": [...], "dropped": [...], "tokens": { "before": 12000, "after": 7800, "budget": 8000 }, "fit": true }

fit_messages always returns a structured result and never throws across the wire: if the budget is unreachable even after dropping all non-protected messages, you get fit: false with the partial result so the caller can decide what to do.

Why a separate MCP server

@mukundakatta/agentfit is a zero-dependency JavaScript library. This package wraps it as an MCP server so it's accessible from inside any MCP-aware AI assistant: ask Claude "how many tokens is this transcript?" or "trim this chat to 8k tokens preserving the system prompt and last 2 turns" and the assistant calls these tools directly.

Sibling MCP servers

Part of the agent-stack series, all @mukundakatta/*-mcp:

@mukundakatta/agentfit-mcp — *Fit it.* (this)
@mukundakatta/agentguard-mcp — *Sandbox it.*
@mukundakatta/agentsnap-mcp — *Test it.*
@mukundakatta/agentvet-mcp — *Vet it.*
@mukundakatta/agentcast-mcp — *Validate it.*

License

MIT

Agentfit

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Accounting, finance & taxi

Common questions

Alternatives

Finance Toolkit

SolidInvoice

Korea Tax Calculator

README from the maker

agentfit-mcp

Add to your client

Claude Desktop

Cursor

Cline / Windsurf / Zed

Tool examples

Why a separate MCP server

Sibling MCP servers

License