# agentcast-mcp

> Use this tool when you need to enforce structured output from Large Language Models (LLMs) and ensure data consistency. It solves problems of unstructured or invalid responses by extracting JSON, validating against a shape spec, and generating retry prompts for incorrect responses. The agentcast-mcp tool takes LLM outputs as input and produces validated JSON data as output, making it ideal for applications requiring reliable and structured data exchange.

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

## Description

Enforces structured output from LLMs by extracting JSON, validating against a shape spec, and generating retry prompts for incorrect responses.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o26p56p55i)
- **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": "mukundakatta-agentcast-mcp"
    }
  }
}
```

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