# pith

> Use this tool when you need to manage and track tasks collaboratively between AI agents and humans. It enables reading, creating, and updating tasks, as well as tracking work sessions, providing a unified task board for seamless cooperation. Ideal for use cases requiring multi-agent and human collaboration, task automation, and workflow management.

Canonical page: https://skillsregistry.net/skills/silupanda-pith  
JSON: https://api.skillsregistry.net/v1/skills/silupanda-pith

## Description

MCP server for task management that enables AI agents to read, create, update tasks, and track work sessions, allowing agents and humans to collaborate on the same task board.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/es2z3pm3ay)
- **Repository:** <https://github.com/SiluPanda/pith>

## 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": "silupanda-pith"
    }
  }
}
```

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