mcpbeat

Jsonaut MCP Server

io.github.shoggi211/jsonaut
answering

Jsonaut is answering right now. Last checked 14 min ago. It exposes 4 tools. Last commit 6 Jul 2026.

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

Uptime history 42 hours of history
42 hours agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
69 ms
Response time
average over 24h
0
Stars
last commit 6 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add jsonaut --transport http https://jsonaut.jsonaut-shaurya.workers.dev/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "jsonaut": {
      "url": "https://jsonaut.jsonaut-shaurya.workers.dev/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.jsonaut]
url = "https://jsonaut.jsonaut-shaurya.workers.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "jsonaut": {
      "url": "https://jsonaut.jsonaut-shaurya.workers.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "jsonaut": {
      "url": "https://jsonaut.jsonaut-shaurya.workers.dev/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

extract
extract_json
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 success). Pass a JSON Schema to shape the output.
infer
infer_schema
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
repair_json
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; charged only on success).
validate
validate_json
Validate a JSON string against a JSON Schema. Free. Returns validity and a list of violations.

Endpoints

URLTransportStateLatencyChecked
https://jsonaut.jsonaut-shaurya.workers.dev/mcp streamable-http answering 76 ms 14 min ago

Jsonaut — questions

Answers built from our own checks of this server.

What can Jsonaut do?
It exposes 4 tools, read directly from the server on our last check. Among them: extract_json, infer_schema, repair_json, validate_json. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Jsonaut working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 69 ms. The bar chart above shows every period we have measured.
How do I connect Jsonaut?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Jsonaut need an API key?
No. Jsonaut completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Jsonaut?
It answers our handshake in 69 ms on average, which is faster than 94% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Jsonaut open source?
Yes — written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.