# Letta

> Use this tool when you need to manage and interact with AI agents, memory blocks, and tools in a unified system, solving problems such as agent creation, memory management, and tool integration. It provides inputs for agent and memory block management, and outputs for seamless communication with agents, making it ideal for projects requiring advanced agent-based interactions. The Letta server is particularly useful in contexts where integration with Cline is necessary for enhanced AI application development.

Canonical page: https://skillsregistry.net/skills/oculairmedia-letta  
JSON: https://api.skillsregistry.net/v1/skills/oculairmedia-letta

## Description

This MCP server implementation provides tools for interacting with the Letta API, enabling management of agents, memory blocks, and tools within the Letta system. Developed by Oculair Media, it offers functionality for creating and listing agents, managing memory blocks, attaching tools, and facilitating communication with agents. The server is designed to integrate seamlessly with Cline, making it useful for projects requiring advanced agent-based interactions and memory management in AI applications.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/oculairmedia-letta)
- **Repository:** <https://github.com/oculairmedia/letta-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "oculairmedia-letta"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oculairmedia-letta` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oculairmedia-letta/pull`

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