# io.github.MukundaKatta/agentcast

> Use this tool when you need to extract and validate structured data from unstructured text generated by large language models (LLMs). It solves the problem of noisy or inconsistent output by enforcing JSON format and validating the extracted data. The tool takes messy LLM text as input and outputs validated JSON data, making it ideal for use cases where structured output is required from unstructured text sources.

Canonical page: https://skillsregistry.net/skills/io-github-mukundakatta-agentcast  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentcast

## Description

Structured-output enforcer: extract and validate JSON from messy LLM text.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MukundaKatta%2Fagentcast)
- **Repository:** <https://github.com/MukundaKatta/agentcast-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": "io-github-mukundakatta-agentcast"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentcast` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mukundakatta-agentcast/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