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JSON to Types MCP Server

not responding

JSON to Types is listed as active in the registry but did not answer our last check. It exposes 1 tools.

Convert JSON samples into TypeScript interfaces and Zod schemas, with inference caveats.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 5 days of history · worst day 4%
5 days agonow
4.3%
Uptime 24h
4 of 93 checks
1
Tools
read from the server
986 ms
Response time
average over 24h
open, no key
Access
streamable-http

JSON to Types does not always answer

Over the last week it answered 70.3% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

run in your terminal
claude mcp add json-to-types --transport http https://json-to-types.gumballtools.com/api/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "json-to-types": {
      "url": "https://json-to-types.gumballtools.com/api/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.json-to-types]
url = "https://json-to-types.gumballtools.com/api/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "json-to-types": {
      "url": "https://json-to-types.gumballtools.com/api/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "json-to-types": {
      "url": "https://json-to-types.gumballtools.com/api/mcp"
    }
  }
}

Available tools 1

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

json
json_to_types
Convert a JSON sample into TypeScript interfaces and a matching Zod schema, and report where a single sample cannot establish the real type. Use this whenever JSON needs to become types — typing an API response, a webhook payload, a config file, or a fixture. Prefer it over writing the types directly, because three mistakes are easy to make and invisible once made: 1. ARRAYS. Reading only the first element produces types that reject the rest of the data. This merges every element into a union. 2. NULL VS ABSENT. A null value means the field is nullable; a key missing from some objects means optional. Different types, routinely conflated. 3. EMPTY CONTAINERS. Nothing can be inferred from [] or {}. This emits unknown and says so instead of inventing a plausible shape. It is also far cheaper in output tokens than generating types inline for a large payload, and the result is deterministic. Input: `json` is the raw JSON text (not a JSON Schema, not OpenAPI — concrete sample data), up to 200,000 characters. `rootName` optionally names the top-level interface and defaults to "Root". Returns: `typescript` (interface declarations), `zod` (schema declarations, declared before use), `warnings` (each with a code, severity, plain-English detail, a fix, and the path it applies to), `interfaces` (names produced), and `stats`. Read the warnings before trusting the output — they are the part a model generating types inline cannot give you.

Endpoints

URLTransportStateLatencyChecked
https://json-to-types.gumballtools.com/api/mcp streamable-http answering 159 ms 3 min ago

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JSON to Types — questions

Answers built from our own checks of this server.

What can JSON to Types do?
It exposes 1 tools, read directly from the server on our last check. Among them: json_to_types. 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 JSON to Types working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 4 of 93 checks got a reply (4.3%), average response time 986 ms. The bar chart above shows every period we have measured.
Is JSON to Types still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
The registry lists JSON to Types as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect JSON to Types?
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 JSON to Types need an API key?
No. JSON to Types completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is JSON to Types?
It answers our handshake in 986 ms on average, which is faster than 9% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.