io.github.MukundaKatta/agentcast

MCPcommunity
v0.1.0io.github.MukundaKattaUnknownUpdated 2mo agonpmGitHub

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. with Claude Desktop, Cursor, Cline, Windsurf, Zed, and any other MCP client. Pull a JSON value out of messy LLM output. Tries the whole text, then a fenced json block, then…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo agoLast update
Package
Authorio.github.MukundaKatta
LicenseUnknown
Version0.1.0
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved+ · none vulnerable
Tool surface3 tools · none privileged
Security scan✓ Cleanv0.1.0 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

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. with Claude Desktop, Cursor, Cline, Windsurf, Zed, and any other MCP client. 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.…

Keywords
mcp