Schema Sieve MCP Server

by mrfentmen Your server? Claim it

local only

Schema Sieve MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 52 installs a week from npm.

Local JSON Schema structure inspection and privacy-safe fixture planning. Tools include inspect...

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

Installs per day peak 313 · avg 21 · +87% w/w

a month agotoday

Installs / week

npm · schema-sieve-mcp

—

Stars

on GitHub

—

Last commit

4 releases in 90 days

—

License

language unknown

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add schema-sieve-mcp -- npx -y schema-sieve-mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "schema-sieve-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "schema-sieve-mcp"
      ]
    }
  }
}

~/.codex/config.toml

[mcp_servers.schema-sieve-mcp]
command = "npx"
args = ["-y", "schema-sieve-mcp"]

.cursor/mcp.json

{
  "mcpServers": {
    "schema-sieve-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "schema-sieve-mcp"
      ]
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "schema-sieve-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "schema-sieve-mcp"
      ]
    }
  }
}

Alternatives to Schema Sieve MCP

same job, measured the same way

Openapi Scout MCP

by mrfentmen

Local read-only OpenAPI and Swagger inspection with secret-safe schema summaries. Tools include...

51 installs/wk local only

Env Contract MCP

by mrfentmen

Local value-free environment contract and configuration drift inspection. Tools include inspect...

117 installs/wk local only

Draftlytic MCP

by rbsoftwaresystems

Offline MCP server for planning structured project specs — validate, render, and checklist tools.

56 installs/wk local only

Docpick

by arknill

Schema-driven document extraction with local OCR + LLM. Document in, Structured JSON out.

108 installs/wk local only

Bestjsonformatter

by skrcode

Private, lossless JSON tools for formatting, validation, repair, analysis, querying, and schemas.

47 installs/wk local only

I18n Codelens MCP

by hepter

Inspect, audit and safely edit i18n locale JSON files from AI agents.

57 installs/wk local only

Schema Gen

by sharozdawa

Generate Schema.org JSON-LD markup for 12 types including Person, Product, and FAQ.

46 installs/wk local only

Vrm Toolkit MCP

by dwarehouse1

Inspect, validate and preview VRM / VRMA files from an AI agent (5 tools, local stdio server).

69 installs/wk local only

Schema Sieve MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for Schema Sieve MCP?

Schema Sieve MCP runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package schema-sieve-mcp was installed 52 times last week.

Is Schema Sieve MCP 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.

How do I connect Schema Sieve MCP?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls schema-sieve-mcp straight from npm; nothing to host, nothing to sign up for.

How many people use Schema Sieve MCP?

The npm package schema-sieve-mcp was installed 52 times in the last week. Week over week that is +87%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.