MCP server

Jsonaut

io.github.shoggi211/jsonaut

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Repair malformed JSON from LLM/agent output; optional JSON Schema coercion. Free + x402 paid.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

4

Token cost

About 677 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http jsonaut https://jsonaut.jsonaut-shaurya.workers.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.jsonaut]
url = "https://jsonaut.jsonaut-shaurya.workers.dev/mcp"

Gemini CLI

{"mcpServers":{"jsonaut":{"httpUrl":"https://jsonaut.jsonaut-shaurya.workers.dev/mcp"}}}

Cursor

{"mcpServers":{"jsonaut":{"url":"https://jsonaut.jsonaut-shaurya.workers.dev/mcp"}}}

VS Code

{"servers":{"jsonaut":{"type":"http","url":"https://jsonaut.jsonaut-shaurya.workers.dev/mcp"}}}

Antigravity

agy mcp add jsonaut https://jsonaut.jsonaut-shaurya.workers.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"jsonaut","server_url":"https://jsonaut.jsonaut-shaurya.workers.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"jsonaut","server_url":"https://jsonaut.jsonaut-shaurya.workers.dev/mcp"}

Tools

• extract_json ~206 tokens
  Extract JSON embedded in arbitrary text — LLM prose, chat messages, logs, emails — then repair and validate it. Deterministic extraction is free. If no JSON can be located and allow_llm_fallback is true, a paid LLM extracts structured data from the text (requires x402 payment; charged only on succes
• infer_schema ~168 tokens
  Infer a JSON Schema (draft 2020-12) from an example JSON value. Free and deterministic. Set as_samples=true when the input is an array of example objects of the same shape to merge them into one schema. Turns sample agent/tool output into a reusable schema.
• repair_json ~200 tokens
  Repair malformed JSON (trailing commas, single quotes, truncation, markdown fences, comments, python literals) and optionally validate/coerce it against a JSON Schema. Deterministic repair is free. If it fails and allow_llm_fallback is true, a paid LLM repair is attempted (requires x402 payment; cha
• validate_json ~103 tokens
  Validate a JSON string against a JSON Schema. Free. Returns validity and a list of violations.

Browse

• GitHub tools
• Converting to Markdown
• Payments
• GitHub and code hosting
• Calling other AI models

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