mcpField
T
TalentLMS MCP by usefulapi

TalentLMS MCP by usefulapi

Remote
usefulapi.ioScience & Education0Updated today

About TalentLMS MCP by usefulapi

TalentLMS MCP by usefulapi is a hosted MCP server for training teams and learning-platform administrators. MCP clients can inspect users, courses, groups, branches and progress, and perform selected learner and enrollment actions.

Key features

  1. 01Look up users, courses, and learning paths
  2. 02Inspect user groups and branches
  3. 03Read course progress and certificates
  4. 04Create learners and enroll them in courses
  5. 05Add users to groups

Use cases

  1. 01Check a learner’s course progress
  2. 02Review course, group, and branch membership
  3. 03Create a learner and enroll them in a course

MCP support

It provides a hosted MCP server for clients such as Claude and Cursor. Clients use TalentLMS credentials to access read tools and selected write tools.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://talentlms.usefulapi.io/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

23

This tool takes no parameters.

Details

From the project README

TalentLMS MCP by usefulapi

Use TalentLMS from Claude, Cursor, or any MCP client — read TalentLMS users, courses, groups, branches and progress; create learners and enroll users. Hosted, no local install: connect with your own TalentLMS credentials.

Live endpoint: https://talentlms.usefulapi.io/mcp · Homepage: https://usefulapi.io/talentlms

Connect

  • Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste https://talentlms.usefulapi.io/mcp.
  • Claude Code: claude mcp add --transport http talentlms https://talentlms.usefulapi.io/mcp, then run /mcp to log in.
  • VS Code: Add to VS Code.
  • Cursor and other clients: add the URL as a remote MCP server:
{
  "mcpServers": {
    "talentlms": {
      "url": "https://talentlms.usefulapi.io/mcp"
    }
  }
}

Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your TalentLMS credentials.

Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/talentlms/

On first connect you'll provide your TalentLMS portal subdomain and API key. Your credentials are validated, stored per-user, and scoped to you — no keys in config files.

Tools

ToolTypeWhat it does
talentlms_get_portal_statisticsreadGet portal statistics
talentlms_get_timelinereadGet timeline
talentlms_list_usersreadList users
talentlms_get_userreadGet a user
talentlms_list_user_coursesreadList a user's courses
talentlms_list_user_groupsreadList a user's groups
talentlms_list_user_branchesreadList a user's branches
talentlms_list_user_certificatesreadList a user's certificates
talentlms_get_course_progressreadGet a user's progress in a course
talentlms_list_coursesreadList courses
talentlms_get_coursereadGet a course
talentlms_list_course_usersreadList a course's users
talentlms_list_categoriesreadList course categories
talentlms_list_learning_pathsreadList learning paths
talentlms_list_groupsreadList groups
talentlms_get_groupreadGet a group
talentlms_list_group_usersreadList a group's users
talentlms_list_branchesreadList branches
talentlms_get_branchreadGet a branch
talentlms_list_branch_usersreadList a branch's users
talentlms_create_userwriteCreate a learner
talentlms_enroll_user_in_coursewriteEnroll a user in a course
talentlms_add_user_to_groupwriteAdd a user to a group
talentlms_usage_statusmetaUsage status (free-tier meter)
talentlms_request_featuremetaRequest a missing feature
talentlms_upgrademetaUpgrade to Pro (unlimited*)
talentlms_cancel_subscriptionmetaCancel the Pro subscription

read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.

Pricing

PlanPriceLimit
Free$050 tool calls / month
Pro (per portal)$9/mo or $90/yr (2 months free)Unlimited*

*Pro has a fair use limit of 10,000 tool calls a month on this server. For more, write to [email protected].

Pro covers this server only. Subscribe with talentlms_upgrade (it returns a Stripe Checkout link). Cancel any time with talentlms_cancel_subscription: Pro continues to the end of the paid period, with no refund for the current period, and running talentlms_upgrade before then undoes the cancel. Or write to [email protected].

License

MIT © usefulapi. Not affiliated with or endorsed by TalentLMS.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.