# Letta Agents MCP Server

> Use this tool when you need to manage and customize AI agents, creating and modifying them via the Management Control Platform (MCP) to streamline AI workflows and improve efficiency. It solves problems related to AI agent deployment, configuration, and maintenance, providing a centralized interface for control and customization. Ideal for use cases requiring flexible AI agent management, it accepts input via MCP and outputs customized AI agents.

Canonical page: https://skillsregistry.net/skills/elijahdev0-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/elijahdev0-mcp-server

## Description

Control AI agents creation and modification via MCP.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/inp368jrq2)
- **Repository:** <https://github.com/elijahdev0/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": "elijahdev0-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elijahdev0-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elijahdev0-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt