How to Use the Coassemble MCP in LlamaIndex

Q: How do I index Coassemble course data in LlamaIndex?

You use the MCP tool spec to pull data via getcoursetrainingdetails. This raw text is then chunked and loaded into your vector index for semantic search.

Q: Can LlamaIndex handle Coassemble student group queries?

Your agent uses getmembergroupassociations to check user groups, allowing you to restrict search results based on a user's cohort.

Q: Does Coassemble MCP Server integration support async execution in LlamaIndex?

Yes. You can load tools like listcoassembleenrolments asynchronously to keep your search index updates fast and non-blocking.

Turn your LMS data into a searchable knowledge base with LlamaIndex and this MCP Server.

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Connect Coassemble MCP to LlamaIndex

Create your Vinkius account to connect Coassemble to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Coassemble with LlamaIndex

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Index course structures using this MCP Server

The `list_coassemble_courses` tool retrieves your entire curriculum structure directly into your LlamaIndex pipeline. This lets your agent build a semantic index of your training catalog, making it searchable for users. Instead of hardcoding course descriptions, your RAG setup queries the live LMS database. Users get accurate, up-to-date answers about available training modules without manual content updates.

Query student progress with LlamaIndex RAG

The `get_training_completion_results` tool pulls active student grades and completion metrics directly into your vector store. This allows your agent to answer specific questions about cohort performance. You can ask your agent which students completed their compliance training this week. Your pipeline queries the API, indexes the fresh results, and generates a grounded response.

Manage enrollments through LlamaIndex tools

The `enroll_member_in_course` tool lets your query engine take direct action when a student requests access to a module. Your agent identifies the course ID and executes the enrollment instantly. This bridges the gap between searching for courses and actually taking them. Students can find a class and sign up for it in a single conversational interface.

Setup guide

Set up Coassemble MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Coassemble MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Coassemble tools.",
)
response = await agent.run("List recent Coassemble data")

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Common questions about Coassemble MCP in LlamaIndex

You use the MCP tool spec to pull data via `get_course_training_details`. This raw text is then chunked and loaded into your vector index for semantic search.

Your agent uses `get_member_group_associations` to check user groups, allowing you to restrict search results based on a user's cohort.

Yes. You can load tools like `list_coassemble_enrolments` asynchronously to keep your search index updates fast and non-blocking.

Configure the allowed tools filter during initialization to only expose read-only tools like `list_coassemble_courses` if you want to prevent accidental enrollments.

All student names, course enrollments, and performance metrics are processed in ephemeral V8 containers. No LMS data is stored on Vinkius servers, maintaining strict data compliance.

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