Structured-output enforcer: extract and validate JSON from messy LLM text.
Structured-output enforcer: extract and validate JSON from messy LLM text.
An MCP server that gives AI assistants the ability to enforce structured output: extract JSON from messy LLM text, gate it against a shape spec, and produce the retry feedback message when the model returns the wrong shape.
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| Tool | What it does |
|---|---|
| extract_json | Pull a JSON value out of messy LLM output. Tries the whole text, then a fenced json block, then the largest balanced {...} / [...] substring. Returns the parsed value plus which strategy succeeded. |
| validate_response | Validate a parsed JSON value against an agentcast shape spec. Spec maps field name to type: string, number, boolean, array, object. Suffix with ? for optional. |
| build_retry_prompt | Given an attempt history, produce the validation-error feedback message agentcast appends to the conversation when the model returned the wrong shape. Codifies the "validation error as feedback" pattern for non-Node MCP |
{
"mcpServers": {
"agentcast": {
"command": "npx",
"args": ["-y", "@mukundakatta/agentcast-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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