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PopNx MCPMCP servers for people who use AI · explained in plain words

Graphql

by Docat0209version 0.1.4i★ –iRuns on your computer
Registry nameio.github.Docat0209/graphql

Install

Overview

Description from the maker (original English)

Turn any GraphQL API into MCP tools. Zero config, zero code.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "graphql": {
      "command": "npx",
      "args": [
        "-y",
        "graphql-to-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add graphql -- npx -y graphql-to-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "graphql": {
      "command": "npx",
      "args": [
        "-y",
        "graphql-to-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Docat0209, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32464 servers in this category
  • Published to the registry more recently than 4% of the other 32464 servers in this category
  • Basic checks equal to or better than 100% of the other 32464 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Graphql safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, yontu

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

yontu

by senrecep

Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.

Runs on your computerUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

graphql-to-mcp

Turn any GraphQL API into MCP tools — zero config, zero code.

Point graphql-to-mcp at a GraphQL endpoint and it auto-generates one MCP tool per query/mutation via introspection. Works with Claude Desktop, Cursor, Windsurf, and any MCP client.

Quick Start

Try it now — no install needed:

npx graphql-to-mcp https://countries.trevorblades.com/graphql

Or add to Claude Desktop / Cursor config:

{

"mcpServers": { "countries": { "command": "npx", "args": ["-y", "graphql-to-mcp", "https://countries.trevorblades.com/graphql"] } } }

That's it. Claude can now query countries, continents, and languages.

Features

  • Zero config — just provide a GraphQL endpoint URL
  • Auto-introspection — discovers all queries and mutations automatically
  • Flat parameter schemas — nested input objects are flattened for better LLM accuracy
  • Smart truncation — large responses are intelligently pruned (array slicing + depth limiting)
  • Auth support — Bearer tokens, API keys (header or query)
  • Retry logic — automatic retries on 429/5xx with exponential backoff
  • Include/exclude filters — expose only the operations you want
  • Schema caching — skip re-introspection with --schema-cache for faster startup
  • Mutation safety — auto-detect destructive mutations (delete*, remove*, etc.) and warn or block them

Usage

CLI
# Public API (no auth)

npx graphql-to-mcp https://countries.trevorblades.com/graphql

With bearer token

npx graphql-to-mcp https://api.github.com/graphql --bearer ghp_xxxxx

With API key

npx graphql-to-mcp https://api.example.com/graphql --api-key "X-API-Key:your-key:header"

Filter operations

npx graphql-to-mcp https://api.example.com/graphql --include "get*" --exclude "internal*"

With prefix (avoid name collisions when using multiple APIs)

npx graphql-to-mcp https://api.example.com/graphql --prefix myapi

Cache schema locally for faster restarts

npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json

Force re-introspection (ignore cache)

npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json --force-refresh

Block destructive mutations (delete*, remove*, etc.)

npx graphql-to-mcp https://api.example.com/graphql --mutation-safety safe

Claude Desktop / Cursor Config
{

"mcpServers": { "github": { "command": "npx", "args": [ "-y", "graphql-to-mcp", "https://api.github.com/graphql", "--bearer", "ghp_xxxxx", "--prefix", "github" ] } } }

Programmatic
import { createServer } from "graphql-to-mcp";

const server = await createServer({ endpoint: "https://api.example.com/graphql", auth: { type: "bearer", token: "xxx" }, include: ["getUser", "listUsers"], });

How It Works

  1. Introspect — Fetches the GraphQL schema via introspection query
  2. Flatten — Nested InputObject types are flattened into simple key-value parameters (e.g., input.name → input_name)
  3. Generate — Each query/mutation becomes an MCP tool with a flat JSON Schema
  4. Execute — When an LLM calls a tool, the flat args are reconstructed into proper GraphQL variables and sent to your endpoint
Why Flat Schemas?

LLMs are significantly better at filling flat key-value parameters than deeply nested JSON objects. By flattening InputObject types, we get:

  • Higher accuracy in parameter filling
  • Fewer hallucinated nested structures
  • Better compatibility across different LLM providers

Options

OptionDescriptionDefault
--bearer Bearer token auth—
--api-key API key auth—
-H, --header Custom header (repeatable)—
--include Include only matching operationsall
--exclude Exclude matching operationsnone
--prefix Tool name prefix—
--timeout Request timeout30000
--max-retries Retry on 429/5xx3
--transport MCP transportstdio
--schema-cache Save/load introspection cache—
--force-refreshIgnore cache, re-introspectfalse
--mutation-safety warn \safe \unrestrictedwarn

Smart Truncation

GraphQL APIs can return large payloads that overwhelm LLM context windows. graphql-to-mcp automatically:

  • Slices arrays to 20 items (with metadata showing total count)
  • Prunes depth beyond 5 levels (with object/array summaries)
  • Hard truncates at 50K characters as a safety net

Schema Caching

Introspection queries can be slow on large schemas. Use --schema-cache to save the introspection result locally:

# First run: introspects and saves to cache

npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json

Subsequent runs: loads from cache (instant startup)

npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json

Force re-introspection when the API schema changes

npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json --force-refresh

The cache file stores the endpoint URL and timestamp. If you point at a different endpoint, it automatically re-introspects.

Mutation Safety

By default, graphql-to-mcp detects destructive mutations and adds warnings to their descriptions. This helps LLMs understand the risk before executing them.

Detected patterns: delete*, remove*, drop*, clear*, truncate*, destroy*, purge*, reset* (case-insensitive).

ModeBehavior
warn (default)Adds "DESTRUCTIVE:" prefix to dangerous mutation descriptions
safeCompletely excludes dangerous mutations from the tool list
unrestrictedNo filtering or warnings (previous behavior)
# Safe mode: only expose read queries + non-destructive mutations

npx graphql-to-mcp https://api.example.com/graphql --mutation-safety safe

Unrestricted: expose everything (use with caution)

npx graphql-to-mcp https://api.example.com/graphql --mutation-safety unrestricted

Use with REST APIs Too

Pair with mcp-openapi to give Claude access to both REST and GraphQL APIs:

{

"mcpServers": { "github-graphql": { "command": "npx", "args": ["-y", "graphql-to-mcp", "https://api.github.com/graphql", "--bearer", "ghp_xxx", "--prefix", "gh"] }, "petstore-rest": { "command": "npx", "args": ["-y", "mcp-openapi", "https://petstore3.swagger.io/api/v3/openapi.json"] } } }

Related

  • mcp-openapi — Same zero-config approach for REST/OpenAPI APIs

License

MIT

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