# Deferno MCP Server

> Use this tool when you need to integrate AI agents with task management capabilities, enabling them to read, create, and manage tasks, habits, and daily plans. It solves problems related to automating routine tasks, scheduling, and organization, providing a backend interface for AI agents to interact with. The Deferno MCP Server accepts inputs such as task requests and updates, and outputs task data and management responses.

Canonical page: https://skillsregistry.net/skills/circuit-stitch-defernowork-mcp  
JSON: https://api.skillsregistry.net/v1/skills/circuit-stitch-defernowork-mcp

## Description

Exposes the Deferno task-manager backend to AI agents, enabling them to read, create, update, and manage tasks, habits, chores, events, and daily plans.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o1dnsirknz)
- **Repository:** <https://github.com/Circuit-Stitch/defernowork-mcp>

## 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": "circuit-stitch-defernowork-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/circuit-stitch-defernowork-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/circuit-stitch-defernowork-mcp/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