AgentDiet Deterministic A2A Broken-JSON Repair & Schema Validator
Repairs truncated or malformed LLM JSON outputs (trailing commas, markdown fences, single quotes).
MCP server · by agentdiet.dev
About
AgentDiet Deterministic A2A Broken-JSON Repair & Schema Validator is an MCP server published by agentdiet.dev. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-19 and have recorded no change since. As of our marketplace pass on 2026-10-20.
What it asks for
- Runs remotely
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
A one-click link opens the client, which asks you to confirm before it adds the server.
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a remote MCP server
Built from what Official MCP Registry declares.
claude mcp add --transport http json-repair https://json-repair.agentdiet.dev/mcp
[mcp_servers.json-repair]
url = "https://json-repair.agentdiet.dev/mcp"
{
"mcpServers": {
"json-repair": {
"url": "https://json-repair.agentdiet.dev/mcp"
}
}
}
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 7.0.15 | No figure published | Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
- Became a product we track
- Official MCP Registry: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
json-repair-mcp io.github.grupoanesthy-spec/json-repair-mcp
Repairs malformed JSON from LLM output, validated against a schema. Paid per call via Stripe.
-
Repair broken JSON from LLM output and validate it against a JSON Schema.
-
jsonaut io.github.shoggi211/jsonaut
Repair malformed JSON from LLM/agent output; optional JSON Schema coercion. Free + x402 paid.
-
Repair broken LLM JSON and check it against a JSON Schema. Flags cut-off output. Free trial.
-
Deterministic JSON repair, validate, example-gen, schema-coerce for agents. Zero LLM, sub-10ms.
-
json io.github.rog0x/json
JSON/YAML/CSV validate, diff, transform for AI agents
-
json-repair-mcp io.github.robertoyanguas-ops/json-repair-mcp
Repairs truncated or malformed LLM JSON outputs (trailing commas, markdown fences, unquoted keys).
-
Deterministic inspect, safe repair, and JSON Schema validation for agent JSON. No LLM.
-
structured-data-validator io.github.agenson-horrowitz/structured-data-validator
Validate, transform, and normalize structured data for AI agents.
-
Turn messy text into strict JSON schemas agents can trust (invoice, receipt, contact, resume).
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
AI eXchange Optimised Notation plugin converts your inputs into a machine-to-machine language to reduce token usage by up to 80% depending on the context.
-
Turn LLM instructions (skills, plugins, prompts) into standalone, deterministic scripts — more reliable than agent calls, with no token cost and faster execution.
-
Convert Markdown, JSON, yaml and plain text to SLIM format (Structured LLM Instruction Markup). Any AI document can typically saves upto 45% tokens. Validates .slm files against…
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Has a listing on Claude Code: claude-plugins-official (5)
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. Define rules via simple markdown files.
Has a listing on Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
MCP server for terminal commands, file operations, and process management
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
AI-powered code review in Codex, powered by CodeRabbit.
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
Has a listing on Community GitHub marketplaces (5)
-
Intelligent multi-agent system for delegating analysis, code review, and complex reasoning tasks to local ollama models. Saves 70%+ of Claude's context budget with automatic model…
-
Cleans messy, typo-ridden Claude Code prompts before Claude sees them.
-
Audit and split oversized CLAUDE.md instructions, with checks that preserve their content.
-
Build and refactor CLIs for AI agent compatibility. Use when making CLI tools machine-readable with structured JSON output, input hardening, schema introspection, dry-run safety…
-
Audit your CLAUDE.md, skills, subagents and prompts for hidden branching logic: scores, hot sections, and hints for skills that will never trigger.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Advanced Security plugin for GitHub Copilot.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Has a listing on Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
Has a listing on Docker MCP Catalog (5)
-
Production-ready RAG service to search and retrieve data from your documents.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Fetch, validate, and generate code or curl from any OpenAPI or Swagger spec - all from a single URL.
-
MCP server for terminal commands, file operations, and process management
Has a listing on Official MCP Registry (5)
-
json-repair-mcp io.github.grupoanesthy-spec/json-repair-mcp
Repairs malformed JSON from LLM output, validated against a schema. Paid per call via Stripe.
-
Repair broken JSON from LLM output and validate it against a JSON Schema.
-
jsonaut io.github.shoggi211/jsonaut
Repair malformed JSON from LLM/agent output; optional JSON Schema coercion. Free + x402 paid.
-
Repair broken LLM JSON and check it against a JSON Schema. Flags cut-off output. Free trial.
-
Deterministic JSON repair, validate, example-gen, schema-coerce for agents. Zero LLM, sub-10ms.
Has a listing on npm registry (MCP servers) (5)
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
genexus io.github.lennix1337/genexus
Read, edit, and analyze GeneXus 18 KB objects from Claude, Cursor, and AI agents.
-
easytable-mcp io.github.chrischall/easytable-mcp
easyTable restaurant reservations for Claude — availability, and create/modify/cancel bookings
-
easy-notion io.github.misterwigglesworth/easy-notion
Markdown-first Notion MCP server. ~6-7x fewer response tokens vs official Notion MCP. 43 tools.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.