MCP Servers: 7 Model Context Protocol Servers for ibl.ai

ibl.ai EngineeringMarch 5, 2025

A collection of MCP servers covering analytics, agent creation, agent chat, search, user management, and Canvas LMS integration. Connect from Claude Desktop, Cursor, or Claude Code.

We've released a collection of 7 Model Context Protocol (MCP) servers that connect the ibl.ai platform to any MCP-compatible client:

Server	Purpose
Analytics	Query platform analytics — engagement, completion rates, usage patterns
Agent Creation	Create and configure AI agents programmatically
Agent Chat	Chat with agents via MCP tool calls
Search	Search across platform content, users, and agents
User Management	Create, update, and manage user accounts
Canvas LMS	Bridge ibl.ai agents with Canvas courses, assignments, and enrollments
Admin	Platform administration and tenant configuration

Supported Clients

Connect from any MCP-compatible client:

Claude Desktop — Add servers via claude_desktop_config.json
Cursor — Configure in .cursor/mcp.json
Claude Code — Add via claude_code_config.json

Transport

All servers support Streamable HTTP transport for reliable, production-grade connections.

Getting Started

git clone https://github.com/iblai/iblai-mcp.git
cd iblai-mcp

See individual server READMEs for configuration and connection instructions.

← PreviousApp CLI: Scaffold Production-Ready AI Applications Next →Infrastructure CLI: End-to-End AWS Provisioning