# StoryForge MCP Server

> StoryForge MCP Server — ankushchaudhari203-commits-storyforge. Use this tool when you need to streamline Agile project management by automating Jira ticket creation and management through natural language commands. It solves problems of manual ticket creation and synchronization, enabling seamless integration of AI-driven backlog generation with Jira board actions. The tool accepts natural language inputs and outputs structured Jira tickets, ideal for use in Agile development environments where efficient project management is crucial.

Canonical page: https://skillsregistry.net/skills/ankushchaudhari203-commits-storyforge  
JSON: https://api.skillsregistry.net/v1/skills/ankushchaudhari203-commits-storyforge

## Description

Enables AI clients to create and manage Jira tickets for Agile backlog items through natural language commands, integrating structured backlog generation with Jira board actions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qk9cz8u28g)
- **Repository:** <https://github.com/ankushchaudhari203-commits/storyforge>

## 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": "ankushchaudhari203-commits-storyforge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ankushchaudhari203-commits-storyforge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ankushchaudhari203-commits-storyforge/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