Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Agenttune

by bernardjhuangversion 1.0.0i★ –iRuns in the cloud
Registry namecom.agent-tune/agenttune

Install

Overview

Description from the maker (original English)

Personality tuning files for AI agents: 43 MIT-licensed tunings + 5 inline personality tests.

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.

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://agent-tune.com/mcp

Run this in your terminal

claude mcp add --transport http agenttune https://agent-tune.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "agenttune": {
      "url": "https://agent-tune.com/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": {
    "agenttune": {
      "type": "http",
      "url": "https://agent-tune.com/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://agent-tune.com/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain agent-tune.com (the registry checks domain ownership)

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32484 servers in this category
  • Published to the registry more recently than 12% of the other 32484 servers in this category
  • Basic checks equal to or better than 100% of the other 32484 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 Agenttune 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Recta

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
Install

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

Recta

by RectaBuild

Cheaper cross-chain stablecoin routes for AI agents; 5 % of the verified saving, nothing if none.

Computer or cloudUpdated 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.

AgentTune

Editable communication preferences for AI assistants. Browse 43 templates, choose the rules that fit, and review them before adding them to your instructions. A personality label is optional; templates are editorial suggestions, not diagnoses or proven performance improvements.

Website · Preference builder · Library · Research

Start with the behavior you want

  1. Describe your preferred level of detail, tone, structure and pushback in the preference builder, or browse a template below.
  2. Read and edit the actual rules. Your current request and explicit preferences take precedence. No questionnaire framework automatically outranks another.
  3. Add only the reviewed text to the intended conversation, account settings or project instructions. Preserve existing content; use a clearly marked block when editing a shared file.
  4. Reopen the destination to verify storage. Compare several new tasks to assess behavior; saved text alone does not prove that a model will follow it.
  5. To undo, remove only the added block. Do not delete an existing shared instruction file.

Reading a resource does not authorize installation, an external action or a lasting change to preferences. Templates must preserve accuracy, material uncertainty and authorized scope.

Browse templates

  • MBTI-style preferences: 16 templates
  • Enneagram-style preferences: 9 templates
  • DISC-style preferences: 4 templates
  • Attachment-related preferences: 4 templates
  • OCEAN preferences: 10 templates

Combine only rules you want. When two rules conflict, choose explicitly rather than treating a score or framework as an instruction priority. The framework labels are navigation aids, not claims about every person who uses a label.

Optional questionnaires

The current release includes five interactive questionnaire adaptations: MBTI-style, Enneagram, DISC, attachment and IPIP Big Five. The Big Five adaptation returns raw dimension totals and item means. It does not return population percentiles or select instructions automatically. Review the availability and rights record for other instruments. All five questionnaires are available. Their source terms remain separate; availability does not establish unrestricted reuse rights.

See third-party notices before reusing instrument material. Original AgentTune code and preference templates are MIT licensed; that does not make every third-party instrument MIT or commercially reusable.

Versioned content and local scoring

This repository owns the canonical content. The website consumes a pinned release, not a runtime fetch from main. dist/manifest.json gives the release version and SHA-256 of every exported artifact. dist/instruments.json identifies the available definitions, item IDs, response anchors and definition hashes. Every scoring result identifies its instrument and scorer version.

const { score, scoreOrdered } = require('./dist/score.js');

const instrument = require('./dist/instruments.json').find(d => d.route === 'big-five'); const result = score({ instrumentId: instrument.id, instrumentVersion: instrument.version, responses: instrument.items.map(item => ({ itemId: item.id, value: 3 })) }); // result.status === 'complete'; all totals 30 and all item means 3. // scoreOrdered(id, version, answers) requires the exact complete item order.

Valid partial responses return incomplete, with missing item IDs and no final score. Duplicate/unknown IDs, noninteger/out-of-range values and malformed responses return invalid. Missing answers are never silently imputed. Raw scores are separate from a user's subsequent choice of communication preferences. Keep personal responses local and out of public pull requests.

Browser: load dist/score.js to use AgentTuneScoring. It contains scoring keys for the approved instrument without embedding question wording. The original generic engine is also available separately as dist/engine.js; users are responsible for rights to any definitions they register.

Agent access

The site exposes body-only Markdown at /resources/tunings/ / .md, metadata-rich mirrors via the tuning catalog, and a versioned content manifest. Apply only the body; metadata is for discovery and verification.

The stateless MCP endpoint is https://agent-tune.com/mcp. Its tools are list_tunings, get_tuning, get_test_spec, list_resources, get_resource and get_free_tools. Questionnaire availability is explicit; an unavailable specification must not be treated as an instruction to administer an old questionnaire. MCP retrieves public resources and does not need your questionnaire answers.

Use the installation protocol and platform registry for current destinations. Metadata separates verify.saved_text from verify.behavior; there is no universal compliance probe.

Development and research provenance

Run npm run build and npm test with Node 22 or later. No dependency installation is needed. Edit data/tunings.json, data/contract.md and approved definitions in data/instruments/; do not edit generated copies. npm run check also detects stale generated artifacts. License eligibility, instrument IDs, fixture scores and export parity are release gates.

See the changelog and legacy provenance. Historical questionnaires contained adaptations and undocumented substitutions. Their responses must remain attached to their actual versions. Correcting future instruments does not retroactively correct previous observations. Research about model questionnaire responses is distinct from evidence that a tuning improves task performance.

License

MIT for original AgentTune work, with the third-party exceptions and availability policy. Review the per-instrument terms and provenance before redistribution.

Ask PopNx