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PopNx MCPMCP servers for people who use AI · explained in plain words

TalentLMS

by mindstoneversion 0.4.0i★ –iRuns on your computer
Registry nameio.github.mindstone/mcp-server-talentlms

Install

Overview

Description from the maker (original English)

TalentLMS MCP server: users, courses, groups, branches, reporting, and assessments

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
  • You need to fill in: TALENTLMS_API_KEY, TALENTLMS_DOMAIN

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).
  • You fill in yourself: TALENTLMS_API_KEY, TALENTLMS_DOMAIN, TALENTLMS_REQUEST_TIMEOUT

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "talentlms": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-talentlms"
      ],
      "env": {
        "TALENTLMS_API_KEY": "your-value",
        "TALENTLMS_DOMAIN": "your-value",
        "TALENTLMS_REQUEST_TIMEOUT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add talentlms --env TALENTLMS_API_KEY=your-value --env TALENTLMS_DOMAIN=your-value --env TALENTLMS_REQUEST_TIMEOUT=your-value -- npx -y @mindstone/mcp-server-talentlms

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "talentlms": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-talentlms"
      ],
      "env": {
        "TALENTLMS_API_KEY": "your-value",
        "TALENTLMS_DOMAIN": "your-value",
        "TALENTLMS_REQUEST_TIMEOUT": "your-value"
      }
    }
  }
}

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": {
    "talentlms": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-talentlms"
      ],
      "env": {
        "TALENTLMS_API_KEY": "your-value",
        "TALENTLMS_DOMAIN": "your-value",
        "TALENTLMS_REQUEST_TIMEOUT": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • TALENTLMS_API_KEY secret required env
    TalentLMS API key
  • TALENTLMS_DOMAIN required env
    TalentLMS subdomain (e.g. acme for acme.talentlms.com)
  • TALENTLMS_REQUEST_TIMEOUT env
    Request timeout in milliseconds

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 mindstone, 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 32744 servers in this category
  • Published to the registry more recently than 22% of the other 32744 servers in this category
  • Basic checks equal to or better than 100% of the other 32744 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 TalentLMS 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?

You need to fill in: TALENTLMS_API_KEY, TALENTLMS_DOMAIN

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 (0.4.0) reached the registry 3 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: Spec Driven Development, Remote Desktop Commander, Date Math

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Runs in the cloud★ 211Updated 2 days ago
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Date Math

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Runs in the cloudUpdated today
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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.

@mindstone/mcp-server-talentlms

TalentLMS MCP server for Model Context Protocol hosts. Manage users, courses, groups, branches, categories, enrolments, reporting, and assessments in TalentLMS through a standardised MCP interface.

Status

  • Version: 0.4.0 · npm
  • Auth: API key (TALENTLMS_API_KEY)
  • Tools: 28 (users, courses, groups, categories, reporting, assessments)
  • Surface: cloud-api
  • Machine-readable: STATUS.json

Requirements

  • Node.js 20+
  • npm

One-click install

After clicking the button, your host will prompt you to fill: TALENTLMS_API_KEY, TALENTLMS_DOMAIN, TALENTLMS_REQUEST_TIMEOUT.

Manual config for Claude Desktop / Claude Code / Goose / Continue.dev (TalentLMS)

{

"mcpServers": { "TalentLMS": { "command": "npx", "args": [ "-y", "@mindstone/mcp-server-talentlms" ], "env": { "TALENTLMS_API_KEY": "", "TALENTLMS_DOMAIN": "", "TALENTLMS_REQUEST_TIMEOUT": "30000" } } } }

Quick Start

Install & build
cd <path-to-repo>/connectors/talentlms

npm install npm run build

npx (once published)
npx -y @mindstone/mcp-server-talentlms
Local
node dist/index.js

Configuration

Environment variables
  • TALENTLMS_API_KEY — TalentLMS API key
  • TALENTLMS_DOMAIN — TalentLMS subdomain (e.g. acme for acme.talentlms.com)
  • TALENTLMS_REQUEST_TIMEOUT — request timeout in milliseconds (default: 30000)
  • MCP_HOST_BRIDGE_STATE — optional path to a host bridge state file used for credential management
  • MINDSTONE_REBEL_BRIDGE_STATE — backwards-compatible alias for MCP_HOST_BRIDGE_STATE

Host configuration examples

Claude Desktop / Cursor
{

"mcpServers": { "TalentLMS": { "command": "npx", "args": ["-y", "@mindstone/mcp-server-talentlms"], "env": { "TALENTLMS_API_KEY": "your-api-key", "TALENTLMS_DOMAIN": "your-domain" } } } }

Local development (no npm publish needed)
{

"mcpServers": { "TalentLMS": { "command": "node", "args": [" /connectors/talentlms/dist/index.js"], "env": { "TALENTLMS_API_KEY": "your-api-key", "TALENTLMS_DOMAIN": "your-domain" } } } }

Tools (28)

List tools paginate: TalentLMS returns 20 items per page by default — pass page_size (max 1000) and page_number to page through larger tenants.

Configuration
  • configure_talentlms — Configure TalentLMS API credentials
Users
  • list_talentlms_users — List users (paginated)
  • get_talentlms_user — Get a user's full profile by ID or email
  • create_talentlms_user — Create a new user
  • update_talentlms_user — Update an existing user (name, email, login, password, bio, timezone, deactivation date; non-privileged user types only)
  • set_talentlms_user_status — Activate or deactivate a user
  • get_talentlms_user_courses — Get all courses a user is enrolled in
Courses
  • list_talentlms_courses — List courses (paginated)
  • get_talentlms_course — Get full course details by ID
  • create_talentlms_course — Create a new course
  • get_talentlms_course_users — Get all users enrolled in a course
  • enrol_talentlms_user — Enrol a user into a course
  • unenrol_talentlms_user — Remove a user from a course
  • get_talentlms_course_sso_link — Generate an SSO link to launch a user into a course
Groups
  • list_talentlms_groups — List groups (paginated)
  • get_talentlms_group — Get group details including members and courses
  • create_talentlms_group — Create a new group
  • add_course_to_talentlms_group — Assign a course to a group
Branches
  • list_talentlms_branches — List branches (paginated, multi-tenant)
Categories
  • list_talentlms_categories — List course categories (paginated)
Reporting
  • get_talentlms_site_info — Get site-level statistics and configuration
  • get_talentlms_timeline — Get activity timeline for users or courses
  • get_talentlms_user_progress — Get detailed progress for a user in a course
  • get_talentlms_leaderboard — Gamification leaderboard (users ranked by points; derived from the full user list, paged 1000 at a time so no user is dropped)
  • get_talentlms_user_certifications — Get a user's issued certifications with expiration dates
Assessments
  • get_talentlms_test_answers — Get a user's answers for a test/quiz
  • get_talentlms_survey_answers — Get a user's responses to a survey
  • get_talentlms_ilt_sessions — Get instructor-led training sessions for a unit

Security notes

  • Untrusted-content envelopes: text authored inside TalentLMS (course and group descriptions, user names/bios/custom fields, test and survey answers, etc.) is returned inside envelopes so the host model treats it as data, not instructions. Ids, statuses, timestamps, and other metadata are deliberately left raw so tool chaining (e.g. copying a user_id into the next call) keeps working.
  • Privilege guard: create_talentlms_user and update_talentlms_user only accept the non-privileged Learner/Trainer user types — Administrator/SuperAdmin accounts must be managed in the TalentLMS UI.

Licence

FSL-1.1-MIT — Functional Source License, Version 1.1, with MIT future licence. The software converts to MIT licence on 2030-04-08.

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