Connect
Optimize
Secure
EasyLlama MCP Server
for AI Agents
Production-ready EasyLlama MCP server with 27 extensible actions — plus built-in authentication, security, and optimized execution.
EasyLlama MCP Server
Built by 
StackOne
StackOne 
Coverage
27 Agent Actions
Create, read, update, and delete across EasyLlama — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your EasyLlama MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every EasyLlama tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every EasyLlama call.
Tools Discovery →What is the EasyLlama MCP Server?
A EasyLlama MCP server lets AI agents read and write EasyLlama data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's EasyLlama MCP server ships with 27 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Cursor, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All EasyLlama MCP Tools and Actions
Every action from EasyLlama's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Learners
- Create Learner
Create a new learner in the EasyLlama platform
- List Learners
Retrieve a list of all learners in the EasyLlama platform
- Get Learner
Retrieve detailed information for a specific learner by their ID
- Update Learner
Update an existing learner's information in EasyLlama
Archive Learners
- Archive Learner
Archive a learner from the EasyLlama platform
Unarchive Learners
- Unarchive Learner
Restore an archived learner in EasyLlama
Assign Trainings
- Assign Training
Assign a training course to a learner
Unassign Trainings
- Unassign Training
Unassign a training course from a learner
Trainings
- List Trainings
Retrieve a list of all available training courses in EasyLlama
- Get Training
Retrieve detailed information for a specific training course
Training Preview URLs
- Get Training Preview URL
Get a preview URL for a training course
Training Upload Status
- Get Training Upload Status
Get the upload status for a training course
Learner Trainings
- List Learner Trainings
Retrieve all training courses assigned to a specific learner
Learner Training Hourly Reports
- Get Learner Training Hourly Report
Fetch hourly report for a learner training
Locations
- Create Location
Create a new location in EasyLlama
- List Locations
Retrieve a list of all locations in EasyLlama
- Get Location
Retrieve detailed information for a specific location by its ID
- Update Location
Update an existing location in EasyLlama
- Delete Location
Delete a location from EasyLlama
Regions
- List Regions
Retrieve a list of all regions in EasyLlama
Departments
- Create Department
Create a new department in EasyLlama
- List Departments
Retrieve a list of all departments in EasyLlama
- Get Department
Retrieve detailed information for a specific department by its ID
- Update Department
Update an existing department in EasyLlama
- Delete Department
Delete a department from EasyLlama
Industries
- List Industries
Retrieve a list of all industries in EasyLlama
Categories
- List Categories
Retrieve a list of all training categories in EasyLlama
Set Up Your EasyLlama MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to EasyLlama in under 10 lines of code.
MCP Clients
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}More Learning / LMS MCP Servers
Saba
122+ actions
Xyleme
79+ actions
360Learning
78+ actions
Adobe Learning Manager
72+ actions
Go1
69+ actions
SAP SuccessFactors
69+ actions
Discourse
67+ actions
EasyLlama MCP Server Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
EasyLlama MCP Server FAQ
EasyLlama MCP server vs direct API integration — what's the difference?
A EasyLlama MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling EasyLlama. A EasyLlama MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling EasyLlama at runtime. StackOne provides both.
How does EasyLlama authentication work for AI agents?
EasyLlama authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own EasyLlama account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are EasyLlama MCP tools vulnerable to prompt injection?
Yes — EasyLlama MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a EasyLlama agent and how do I avoid it?
Context bloat happens when EasyLlama tool schemas and API responses eat your EasyLlama agent's memory, preventing it from reasoning effectively. A single EasyLlama query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my EasyLlama agent can access?
Yes — you can limit which actions your EasyLlama agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my EasyLlama MCP server?
Yes — you can create custom agent actions for your EasyLlama MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research EasyLlama's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a EasyLlama MCP server?
Skip a EasyLlama MCP server if your integration is purely software-to-software — direct EasyLlama API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call EasyLlama actions at runtime.
What AI frameworks and AI clients does the StackOne EasyLlama MCP server support?
The StackOne EasyLlama MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.