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TalentLMS MCP Server

local only

TalentLMS runs on your own machine — the client starts it, so there is no endpoint to ping. 60 installs a week from npm. Last commit 2 Nov 2026.

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

Installs per day peak 16 · avg 4 · +173% w/w
a month agotoday
60
Installs / week
npm · @mindstone/mcp-server-talentlms
14
Stars
2 open issues
2 Nov 2026
Last commit
1 release in 90 days
FSL-1.1-MIT
License
TypeScript

What the code does

We read the source, 22 h ago · rules 995398eba69f

A tool parameter reaches a dangerous call

A value the model can set ends up inside a file or shell call. That is not a flaw by itself — for a terminal server it is the job — but it is where things go wrong when it is not.

A tool parameter reaches a file or shell call replace_workspace_document.document_id → connectors/pandadoc/src/tools/documents.ts:891
          fs.writeFileSync(outFd, pdfBuffer);
Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command connectors/office/src/index.ts:403
    const child = spawn(process.execPath, [script], {
  if (isUnder(resolvedAbs, sshDir)) return { hit: true, reason: '~/.ssh/** is sensitive' };
Page loads a third-party script connectors/office/src/addin/taskpane.html:10
  <script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script>
    const entries = fs.readdirSync(workspacePath, { withFileTypes: true });

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

A tool parameter here reaches a dangerous call

That is not a flaw by itself — but it is where things go wrong when it is not the job. We re-read this code on every release. Watch it and you hear from us the day another one appears.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add mcp-server-talentlms -e 'TALENTLMS_API_KEY=<TALENTLMS_API_KEY>' -e 'TALENTLMS_DOMAIN=<TALENTLMS_DOMAIN>' -- npx -y @mindstone/mcp-server-talentlms
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server-talentlms": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-talentlms"
      ],
      "env": {
        "TALENTLMS_API_KEY": "<TALENTLMS_API_KEY>",
        "TALENTLMS_DOMAIN": "<TALENTLMS_DOMAIN>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-server-talentlms]
command = "npx"
args = ["-y", "@mindstone/mcp-server-talentlms"]
env = { TALENTLMS_API_KEY = "<TALENTLMS_API_KEY>", TALENTLMS_DOMAIN = "<TALENTLMS_DOMAIN>" }
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server-talentlms": {
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-talentlms"
      ],
      "env": {
        "TALENTLMS_API_KEY": "<TALENTLMS_API_KEY>",
        "TALENTLMS_DOMAIN": "<TALENTLMS_DOMAIN>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "mcp-server-talentlms": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mindstone/mcp-server-talentlms"
      ],
      "env": {
        "TALENTLMS_API_KEY": "<TALENTLMS_API_KEY>",
        "TALENTLMS_DOMAIN": "<TALENTLMS_DOMAIN>"
      }
    }
  }
}

Put your own values in place of <TALENTLMS_API_KEY> (TalentLMS API key), <TALENTLMS_DOMAIN> (TalentLMS subdomain (e.g. acme for acme.talentlms.com)). The author’s registry entry marks them as required.

Optional settings from the registry entry, left out of the block above: TALENTLMS_REQUEST_TIMEOUT (Request timeout in milliseconds).

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TalentLMS — questions

Answers built from our own checks of this server.

Why is there no uptime for TalentLMS?
TalentLMS runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package @mindstone/mcp-server-talentlms was installed 60 times last week.
How do I connect TalentLMS?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls @mindstone/mcp-server-talentlms straight from npm; nothing to host, nothing to sign up for.
How many people use TalentLMS?
The npm package @mindstone/mcp-server-talentlms was installed 60 times in the last week. Week over week that is +173%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is TalentLMS open source?
No, and the distinction matters: its licence is declared as FSL-1.1-MIT. That makes it source-available — you can read the code, but the terms are the author's own, not one of the recognised open-source licences. Read them before you build on it.