Mini Course Generator MCP

Live

OAUTH 2.1

COURSE AUTHORING

Marketing

Mini Course Generator MCP gives agents authenticated access to your course authoring: create courses, push complete modules, and edit lessons in one scoped connection.

  • Per-user credentials: each call uses the actual user's token, never a shared bot.
  • Encrypted per-tenant vault: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: pre-call scope check, 90-day SIEM-exportable audit chain.
Mini Course Generator MCP
agent · Acme Q3
Run
Which courses are live, and which ones still need a landing page?
S
minicoursegeneratormcp_course_list
88ms
Course agent
8 courses in the account. 6 have landing pages. Sales Onboarding and API Basics are missing copy; Security 101 is the largest at 5 modules, 42 lessons.
Sources: 8 courses, 1 account
minicoursegeneratormcp
8 courses
18:29
Message Claude...

Tools your course agent reaches for on Mini Course Generator, scoped per user.

CALL ANY TOOL
Run course authoring end to end: list courses, push complete modules from a spec, edit lessons, and host video without leaving your agent.
minicoursegeneratormcp_course_list
List courses
List the courses in the connected account. A Course is the top-level program; the returned ids feed module_list, module_push, and course_update.
Parameters
Name
Type
Required
Description
No parameters required
minicoursegeneratormcp_course_create
Create a course
minicoursegeneratormcp_module_push
Push a complete module
minicoursegeneratormcp_module_list
List modules
minicoursegeneratormcp_lesson_update
Edit a lesson
minicoursegeneratormcp_get_content_format
Get the authoring guide
minicoursegeneratormcp_video_upload
Host a video
Build your Agent
Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.
Python · LlamaIndex
import { ScalekitClient } from "@scalekit-sdk/node";
import { createReactAgent } from "@langchain/langgraph/prebuilt";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

// Mini Course Generator tools scoped to this user
const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["minicoursegeneratormcp"], toolNames: [
    "minicoursegeneratormcp_course_create",
    "minicoursegeneratormcp_module_push",
    "minicoursegeneratormcp_lesson_update"] },
  pageSize: 100,
});

const agent = createReactAgent({ llm, tools });
await agent.invoke({ messages: [{ role: "user", content: "Create a 3-module onboarding course from our product docs." }] });
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["minicoursegeneratormcp"] }, pageSize: 100,
});

const res = await openai.chat.completions.create({
  model: "gpt-5",
  messages: [{ role: "user", content: "Which courses are still missing a landing page?" }],
  tools,
});

// Execute the tool call with the user's vaulted Mini Course Generator credential
await sk.tools.executeTool(res.choices[0].message.tool_calls[0], "user_123");
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["minicoursegeneratormcp"] }, pageSize: 100,
});

const msg = await anthropic.messages.create({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Push a new module on API basics to the Developer 101 course." }],
  tools,
});

// Tool call runs with the user's vaulted Mini Course Generator credential
await sk.tools.executeTool(msg.content, "user_123");
import { Agent } from "@google/adk/agents";
import { ScalekitClient } from "@scalekit-sdk/node";

const sk = new ScalekitClient(env.SCALEKIT_ENV_URL, env.SCALEKIT_CLIENT_ID, env.SCALEKIT_CLIENT_SECRET);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["minicoursegeneratormcp"] }, pageSize: 100,
});

const agent = new Agent({
  name: "course_authoring_agent",
  model: "gemini-2.5-pro",
  instruction: "Author and maintain mini-courses for the signed-in user.",
  tools,
});

await agent.run("Add a quiz lesson to the security module.");
Try these prompts
Copy any prompt into your agent. Each maps directly to a Mini Course Generator tool. Click to copy, paste into your agent, done.
Build new courses
Copy the prompt
Copied
Create a 3-module onboarding course from our product docs.
Copy the prompt
Copied
Draft a course on API basics with a landing page and publish the outline.
Copy the prompt
Copied
Validate this module spec with a dry run before creating anything.
Edit and restructure
Copy the prompt
Copied
Rewrite the intro lesson of Security 101 in plainer language.
Copy the prompt
Copied
List the modules in Sales Onboarding and flag any without a description.
Copy the prompt
Copied
Add a quiz lesson at the end of every section in module 12.
Media and publishing
Copy the prompt
Copied
Upload welcome.mp4 and embed it in the first lesson.
Copy the prompt
Copied
Which courses are still missing a landing page?
Copy the prompt
Copied
Add a completion certificate to the Developer 101 course.
SEE HOW AUTH WORKS
Your users connect once. Their Mini Course Generator credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
Mini Course Generator MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Mini Course Generator MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Mini Course Generator MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Mini Course Generator MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other content and creator connectors.
GTM
HubSpot to Slack updates agent
Watch HubSpot deal stage changes and post structured updates to the right Slack channel. Reps stop checking the CRM all day.
SALES
Outbound prospecting agent
Build targeted prospect lists with Apollo, enrich with firmographic data, and draft personalised outreach. Runs on a schedule.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought. Scalekit starts with identity, scope enforcement, and audit. Connectors follow.
01.
Shared tokens break per-user analytics
A shared Mini Course Generator token looks fine in a demo. In production every course, module, and lesson edit looks like one service account, and you cannot tell who published what. Scalekit resolves the credential of the actual user who triggered the agent, never a shared bot.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
Mini Course Generator today. Ten connectors tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions
Does the agent access Mini Course Generator as the user or through a shared key?
As the user. Scalekit resolves the credential of the person who triggered the agent at request time, so every course created and lesson edited in your audit trail is attributed to a real user, not a shared service account.
Where is the Mini Course Generator token stored?
In an AES-256 encrypted vault with per-tenant namespacing. Tokens are resolved at request time, never enter LLM context, refresh automatically, and can be revoked from one dashboard.
Can I limit what the agent does in Mini Course Generator?
Yes. Filter by tool name in listScopedTools to expose only what you want, for example authoring tools without course_update or media upload. Scalekit also enforces scope checks before every API call.
What happens when a user revokes access?
The credential is invalidated at the next tool call. The call fails closed, other users' connections are unaffected, and the revocation is logged in the audit chain.
Lesson, section, and module deletes are destructive. How do I keep the agent write-safe?
Exclude lesson_delete, section_delete, and module_delete from the toolNames filter in listScopedTools and the agent can never call them. For extra caution, run module_push with dryRun: true so specs validate without creating or changing anything.
Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""minicoursegeneratormcp"": {
""url"": ""https://mcp.scalekit.com/minicoursegeneratormcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.minicoursegeneratormcp]
url = ""https://mcp.scalekit.com/minicoursegeneratormcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""minicoursegeneratormcp"": {
""url"": ""https://mcp.scalekit.com/minicoursegeneratormcp"",
""type"": ""http""
}
}
}