Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Turn any GraphQL API into MCP tools. Zero config, zero code.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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-mcpPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account Docat0209, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, yontu
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Türkçe yazı denetimi: TDK kuralları, yapay zekâ izleri, metin türüne göre üslup.
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.
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.
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.
input objects are flattened for better LLM accuracy--schema-cache for faster startupdelete*, remove*, etc.) and warn or block them# Public API (no auth)
npx graphql-to-mcp https://countries.trevorblades.com/graphql
npx graphql-to-mcp https://api.github.com/graphql --bearer ghp_xxxxx
npx graphql-to-mcp https://api.example.com/graphql --api-key "X-API-Key:your-key:header"
npx graphql-to-mcp https://api.example.com/graphql --include "get*" --exclude "internal*"
npx graphql-to-mcp https://api.example.com/graphql --prefix myapi
npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json
npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json --force-refresh
npx graphql-to-mcp https://api.example.com/graphql --mutation-safety safe
{
"mcpServers": { "github": { "command": "npx", "args": [ "-y", "graphql-to-mcp", "https://api.github.com/graphql", "--bearer", "ghp_xxxxx", "--prefix", "github" ] } } }
import { createServer } from "graphql-to-mcp";
const server = await createServer({ endpoint: "https://api.example.com/graphql", auth: { type: "bearer", token: "xxx" }, include: ["getUser", "listUsers"], });
InputObject types are flattened into simple key-value parameters (e.g., input.name → input_name)LLMs are significantly better at filling flat key-value parameters than deeply nested JSON objects. By flattening InputObject types, we get:
| Option | Description | Default | ||
|---|---|---|---|---|
--bearer | Bearer token auth | — | ||
--api-key | API key auth | — | ||
-H, --header | Custom header (repeatable) | — | ||
--include | Include only matching operations | all | ||
--exclude | Exclude matching operations | none | ||
--prefix | Tool name prefix | — | ||
--timeout | Request timeout | 30000 | ||
--max-retries | Retry on 429/5xx | 3 | ||
--transport | MCP transport | stdio | ||
--schema-cache | Save/load introspection cache | — | ||
--force-refresh | Ignore cache, re-introspect | false | ||
--mutation-safety | warn \ | safe \ | unrestricted | warn |
GraphQL APIs can return large payloads that overwhelm LLM context windows. graphql-to-mcp automatically:
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
npx graphql-to-mcp https://api.example.com/graphql --schema-cache ./schema.json
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.
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).
| Mode | Behavior |
|---|---|
warn (default) | Adds "DESTRUCTIVE:" prefix to dangerous mutation descriptions |
safe | Completely excludes dangerous mutations from the tool list |
unrestricted | No 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
npx graphql-to-mcp https://api.example.com/graphql --mutation-safety unrestricted
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"] } } }
MIT