Letta MCP Server
Letta MCP servers enable AI models to interact with the Letta platform, providing capabilities for agent management, memory operations, and tool integration.
Overview
The Letta MCP Server provides a bridge between AI models and the Letta agent management system. It allows language models to create, manage, and interact with Letta agents, their memories, and associated tools in a standardized way.
Created by:
Developed by Oculair Media
Key Features
Agent Management
Create, modify, clone, and manage Letta agents
Memory Operations
Handle memory blocks and passages for agents
Tool Integration
Attach and manage tools for agents with full MCP support
Enhanced Metadata
Output schemas and behavioral annotations for all tools
Available Tools
The Letta MCP server offers consolidated tools that use a discriminator pattern. You specify the desired operation within the tool arguments.
Quick Reference
| Tool | Purpose | Category |
|---|---|---|
agent | Manage Letta agents | Agent Management |
memory | Handle memory blocks | Memory |
tool | Manage agent tools | Tool Management |
Detailed Usage
agent▶
Perform operations on Letta agents, such as creating, listing, or messaging.
// Create a new agent
use_mcp_tool({
server_name: "letta",
tool_name: "agent",
arguments: {
operation: "create_agent",
name: "My New Agent",
model: "openai/gpt-4"
}
});
// Send a message to an agent
use_mcp_tool({
server_name: "letta",
tool_name: "agent",
arguments: {
operation: "message_agent",
agent_id: "agent-123",
message: "Hello, agent!"
}
});
memory▶
Manage memory blocks for agents.
// Create a memory block
use_mcp_tool({
server_name: "letta",
tool_name: "memory",
arguments: {
operation: "create_memory_block",
name: "agent_persona",
label: "persona",
value: "You are a helpful assistant."
}
});
tool▶
Manage tools for agents.
// List available tools
use_mcp_tool({
server_name: "letta",
tool_name: "tool",
arguments: {
operation: "list_tools"
}
});
Installation
{
"mcpServers": {
"letta": {
"command": "npx",
"args": [
"-y",
"letta-mcp-server"
],
"env": {
"LETTA_BASE_URL": "https://your-letta-instance.com/v1",
"LETTA_PASSWORD": "your-secure-password"
}
}
}
}
Sources
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