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mcp-usage

by Rixtayzversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.Rixtayz/mcp-usage

Install

Overview

Description from the maker (original English)

Find out which MCP servers you actually use: local, read-only audit of Claude Code transcripts.

PopNx MCP’s three pillars

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

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: Other

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?

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": {
    "usage": {
      "command": "npx",
      "args": [
        "-y",
        "@rixtay/mcp-usage",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add usage -- npx -y @rixtay/mcp-usage serve

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "usage": {
      "command": "npx",
      "args": [
        "-y",
        "@rixtay/mcp-usage",
        "serve"
      ]
    }
  }
}

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": {
    "usage": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@rixtay/mcp-usage",
        "serve"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Rixtayz, 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 Otheri

  • More stars than 0% of the other 32568 servers in this category
  • Published to the registry more recently than 52% of the other 32568 servers in this category
  • Basic checks equal to or better than 100% of the other 32568 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 mcp-usage 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 (0.1.1) reached the registry 37 days 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: Spec Driven Development, Remote Desktop Commander, FlyDocs

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

FlyDocs

by flydocs.ai

Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.

Runs on your computerUpdated today
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.

mcp-usage

A small, focused MCP server and CLI that reads your local Claude Code transcripts and tells you, for every MCP server you have connected, whether it is actually used, sits idle in every session, fails to connect, or has been waiting for authorization for weeks — and what to disconnect.

Built for one job: answer *"which of my MCP servers should I keep?"* — locally, read-only, without ever exposing a word of your conversations.

Tools

Four tools, all read-only:

ToolWhat it does
usage_summaryOne row per server: status, tools exposed, sessions, calls, error rate, estimated result tokens, last use
unused_serversServers that were connected but never called, failed to connect, or are waiting for authorization
server_detailsOne server in full, with per-tool calls, errors and result size (accepts the id or the label, case-insensitive)
recommendationsA prioritized action list: disconnect, fix or remove, authorize or remove, investigate errors, heavy results

Design choices:

  • Exact, not guessed. Claude Code already records, in every session, which MCP tools were available and which servers failed or needed auth. "Available but never used" is a set difference over your own logs, not a heuristic.
  • Private by construction. No network code at all. The output holds server names, tool names, counts, byte totals and timestamps — never prompts, responses, tool inputs, tool outputs, file paths or error messages. The test fixtures plant SECRET_* markers everywhere private content lives in a real transcript, and the tests assert none of them reach the library, the CLI or the MCP output.
  • Fast on big histories. Transcripts are streamed line by line and lines that cannot matter are skipped before JSON.parse: ~360 MB of history (including a 90 MB session) scans in about 3 seconds.
  • Hygiene, not billing. Cost analyzers (ccusage, agent-cost-mcp, …) tell you how many tokens and dollars you spent. This tells you which servers earn their place.
  • Every tool ships a strict input schema and MCP annotations (readOnlyHint, idempotentHint) so hosts can auto-approve them.

Requirements

  • Node.js 22 or newer.
  • Claude Code (CLI, desktop app or IDE extension) with some session history on this machine. Nothing else: no account, no API key, no configuration.

1. Run the report

No install needed, npx fetches the package from npm (@rixtay/mcp-usage, the installed command is mcp-usage):

npx -y @rixtay/mcp-usage

Or from a clone:

git clone https://github.com/Rixtayz/mcp-usage.git

cd mcp-usage npm install && npm run build node dist/bin/cli.js

OptionPurpose
--since Look back this many days (default 30)
--project Only scan projects whose path contains this text
--min-sessions Sessions before an unused server is flagged (default 5)
--dir Claude config directory (default: $CLAUDE_CONFIG_DIR or ~/.claude)
--jsonPrint the full report as JSON, including per-tool stats

Text output truncates long lists; --json always contains everything.

2. Connect to Claude Code

claude mcp add --scope user --transport stdio mcp-usage -- npx -y @rixtay/mcp-usage serve

3. Connect to Claude Desktop / Cowork / any MCP client

mcp-usage is listed in the official MCP Registry as io.github.Rixtayz/mcp-usage, so clients that browse the registry can install it by name. Otherwise, configure it by hand:

Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS (or %APPDATA%\Claude\claude_desktop_config.json on Windows), reachable through Settings → Developer → Edit Config.

{

"mcpServers": { "mcp-usage": { "command": "npx", "args": ["-y", "@rixtay/mcp-usage", "serve"] } } }

If the host cannot find npx (it may not inherit your shell PATH), use absolute paths instead: "command": "/absolute/path/to/node", "args": ["/absolute/path/to/mcp-usage/dist/bin/cli.js", "serve"].

The server reads Claude Code's transcripts wherever it runs, so it only makes sense in local sessions, on the machine where you use Claude Code.

4. Example prompts

  • "Which of my MCP servers should I disconnect?"
  • "Which servers have been waiting for authorization the longest?"
  • "Playwright seems flaky. Which of its tools fail the most?"
  • "Did I use anything other than Context7 in the last 7 days?"

Typical flow: recommendations → the assistant proposes a cleanup list, you confirm → server_details on anything surprising → you disconnect the servers yourself. The tools never touch your MCP configuration.

What it reports

Each server gets one status:

StatusMeaning
usedCalled at least once in the window
unusedIts tools were available, but nothing ever called them
failedNever exposed a tool; Claude Code reported a connection failure
needs-authNever exposed a tool; waiting for authorization

Recommendations, in priority order:

ActionRule
disconnectUnused, and available in ≥ 5 sessions (--min-sessions)
fix-or-removeFailed to connect in ≥ 3 sessions
authorize-or-removeWaiting for authorization in ≥ 3 sessions
investigate-errors≥ 5 calls and ≥ 30 % of them failed
heavy-resultsResults average ≥ 10,000 estimated tokens per call

Development

npm test          # vitest: name parsing, streaming parser, aggregation, rules, CLI, MCP tools over an in-memory transport

npm run typecheck npm run inspect # MCP Inspector against the built server

Layout:

src/bin/cli.ts             entry point: `mcp-usage` prints the report, `mcp-usage serve` serves stdio

src/cli.ts argument parsing and output src/server.ts builds the McpServer and registers the four tools src/analyze.ts options → report; the one function both shells call src/parser.ts streaming JSONL reader → typed events src/aggregate.ts events → per-server stats src/recommend.ts stats → prioritized recommendations src/report.ts text table rendering src/scan.ts transcript discovery (--since, --project) src/adapters/claude-code.ts the only client-specific code, behind a small ClientAdapter interface src/names.ts mcp__ __ parsing and server id mangling

Stack: @modelcontextprotocol/sdk v1, zod v4, nothing else at runtime. Design notes: docs/DESIGN.md.

Things worth knowing

  • The transcript format is not a public API. It is parsed defensively — every field optional, unknown records ignored, malformed lines counted and skipped — but a future Claude Code release can still break it. Tested against Claude Code 2.1.233 – 2.1.274.
  • Token figures are estimates: result bytes ÷ 4, text only. Transcripts record no per-result token count, and image results are not counted.
  • Tool names are split on the first `__` after the mcp__ prefix. Server ids can contain underscores, hyphens, dots or be a bare UUID, and tool names can contain __ themselves, so a naive split("__") miscounts.
  • The same connector can appear under two names — a readable one in the CLI, a UUID in the desktop app. They are not merged.
  • Servers bundled with the Claude desktop app (ccd_*) are reported but never flagged for disconnection: you cannot remove them.
  • Claude Code deletes old transcripts, so a long --since window only sees what is still on disk.
  • Claude Code only, for now. Adapters for other clients are welcome.

Contributing

Bug reports, fixes and adapters for other MCP clients are welcome: see CONTRIBUTING.md. If Claude Code updates and the report suddenly looks wrong, open a bug with your Claude Code version. Found a way the tool could leak transcript content? Please report it privately, as described in SECURITY.md.

Release history: CHANGELOG.md.

License

MIT

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