ENDPOINT 1
https://mcp.hivelearn.app
MCP server metadata
- Name
- hivelearn
- Version
- 0.3.0
Known tools 57
hivelearn_get_courseFetch one course with full metadata (description, instructor, tags, flags).
Inferred read-onlyhivelearn_list_course_modulesList modules (sections) of a course, ordered by sort_order.
Inferred read-onlyhivelearn_list_course_lessonsList lessons of a course, optionally filtered to one module.
Inferred read-onlyhivelearn_create_course_outlineScaffold an entire course in one call: course + modules + lesson placeholders (title/description only, no content yet).
Inferred read-onlyhivelearn_update_lesson_contentReplace just the content of a lesson — URL, content_type, and optional description/duration/thumbnail.
Inferred read-onlyhivelearn_reorder_module_lessonsSet the full lesson order within a module in one atomic call.
Inferred read-onlyhivelearn_publish_coursePublish a course: sets is_published=true after validating that every lesson has content_url.
Potential side effectshivelearn_get_course_structureReturn a compact titles-only tree of the course: course → modules → lessons.
Inferred read-onlyhivelearn_list_quizzesList quizzes, optionally scoped to a course or a specific lesson.
Inferred read-onlyhivelearn_get_quizFetch one quiz with metadata (passing_score, time_limit, max_attempts).
Inferred read-onlyhivelearn_list_quiz_questionsList all questions for a quiz, ordered by sort_order.
Inferred read-onlyhivelearn_list_enrollmentsList course enrollments, optionally scoped to one course or one user.
Inferred read-onlyhivelearn_get_course_progressAggregate lesson-completion progress for a course across enrolled users.
Inferred read-onlyhivelearn_get_course_gradebookQuiz-score gradebook for a course: per-user quiz attempts, scores, pass/fail.
Inferred read-onlyhivelearn_list_certificatesList issued certificates, optionally scoped to one user or one course.
Inferred read-onlyhivelearn_create_certificateIssue a certificate of completion to a user for a course.
Inferred read-onlyhivelearn_list_resourcesList published resources in the authenticated community, newest first.
Inferred read-onlyhivelearn_get_member_pointsFull points breakdown for one member (by auth user id) in the community: total, per-category (posts/comments/events/courses/engagement), period totals, level.
Inferred read-onlyhivelearn_list_tracksList published learning tracks (curated course sequences) in the community, newest first.
Inferred read-onlyhivelearn_list_track_coursesReturn the ordered curriculum of a track: its courses with sort_order, is_required, and unlock_after_course_id (prerequisite gating).
Inferred read-onlyhivelearn_get_track_progressPer-member progress through a learning track: enrolled_at, started_at, completed_at, total_courses, completed counts.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.hivelearn]
url = "https://mcp.hivelearn.app"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"hivelearn": {
"type": "http",
"url": "https://mcp.hivelearn.app"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: hivelearn
Remote MCP URL: https://mcp.hivelearn.app
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"hivelearn": {
"url": "https://mcp.hivelearn.app"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"hivelearn": {
"type": "http",
"url": "https://mcp.hivelearn.app"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "hivelearn",
"transport": "streamable-http",
"url": "https://mcp.hivelearn.app"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for hivelearn.app was fetched 2026-08-25T14:56:27.648Z.
hivelearn.app is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.