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Openapi

by Docat0209version 0.2.3i★ –iRuns on your computer
Registry nameio.github.Docat0209/openapi

Install

Overview

Description from the maker (original English)

Turn any OpenAPI/Swagger spec 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": {
    "openapi": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-openapi"
      ]
    }
  }
}

Run this in your terminal

claude mcp add openapi -- npx -y mcp-openapi

Open in Cursor

Or copy the settings yourself

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

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

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": {
    "openapi": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-openapi"
      ]
    }
  }
}

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 32403 servers in this category
  • Published to the registry more recently than 4% of the other 32403 servers in this category
  • Basic checks equal to or better than 100% of the other 32403 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 Openapi 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 (0.2.3) 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, LickityClick

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

LickityClick

by lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

Computer or cloudUpdated 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.

mcp-openapi

Turn any OpenAPI/Swagger spec into MCP tools — so Claude and other AI assistants can call your REST APIs.

Point mcp-openapi at any OpenAPI 3.x or Swagger 2.0 spec URL and it generates Model Context Protocol (MCP) tools automatically. No code generation, no config files, no boilerplate. Your AI assistant gets callable tools for every API endpoint in seconds.


Quick Start

1. Run it (no install required):

npx mcp-openapi --spec https://petstore3.swagger.io/api/v3/openapi.json

2. Add it to Claude Desktop (claude_desktop_config.json):

{

"mcpServers": { "petstore": { "command": "npx", "args": [ "mcp-openapi", "--spec", "https://petstore3.swagger.io/api/v3/openapi.json" ] } } }

3. Ask Claude to use it:

"List all available pets in the store"

Claude sees MCP tools like find_pets_by_status, get_pet_by_id, add_pet and calls them directly.


Why mcp-openapi?

Most MCP-to-API bridges require you to write tool definitions by hand or generate code from a spec. mcp-openapi skips all of that.

Featuremcp-openapiHand-written MCP serversGeneric HTTP tools
Zero config setupYesNoPartial
OpenAPI 3.x + Swagger 2.0YesN/AN/A
Flat parameter schemas (LLM-optimized)YesManualNo
Smart tool naming from operationIdYesManualNo
Auth (API key, Bearer, OAuth2)Built-inDIYDIY
Retry with exponential backoffBuilt-inDIYDIY
Response truncation for LLM contextBuilt-inDIYNo

Flat parameter schemas are the key differentiator. Instead of passing nested JSON objects (which LLMs frequently get wrong), mcp-openapi flattens path, query, header, and body parameters into a single flat object. This dramatically improves tool-calling accuracy.


How It Works

OpenAPI/Swagger Spec          mcp-openapi               AI Assistant

(URL or file) (Claude, etc.) | | |

1. Parse & validate
2. Generate MCP tools
(one per endpoint)
------------------------>
3. Register tools
via stdio transport
------------------------>
4. AI calls a tool
<------------------------
5. Build & execute
HTTP request
<------------------------
6. Return truncated
response to AI
------------------------>------------------------>

Each API endpoint becomes one MCP tool:

  • Tool name is derived from operationId (converted to snake_case) or from method + path
  • Parameters are flattened into a single input schema (path, query, header, and body params merged)
  • Responses are truncated to ~50KB to stay within LLM context limits
  • Errors (429, 5xx) trigger automatic retries with exponential backoff (up to 3 retries)

Claude Desktop Integration

Add any API to Claude Desktop by editing your config file:

Location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
Public API (no auth)
{

"mcpServers": { "petstore": { "command": "npx", "args": [ "mcp-openapi", "--spec", "https://petstore3.swagger.io/api/v3/openapi.json" ] } } }

API with Bearer Token
{

"mcpServers": { "github": { "command": "npx", "args": [ "mcp-openapi", "--spec", "https://raw.githubusercontent.com/github/rest-api-description/main/descriptions/api.github.com/api.github.com.json", "--auth-type", "bearer", "--auth-token", "$GITHUB_TOKEN", "--prefix", "github", "--include", "listReposForAuthenticatedUser,getRepo,listIssues,createIssue" ], "env": { "GITHUB_TOKEN": "ghp_your_token_here" } } } }

API with API Key
{

"mcpServers": { "weather": { "command": "npx", "args": [ "mcp-openapi", "--spec", "https://api.weather.example.com/openapi.json", "--auth-type", "api-key", "--auth-name", "X-API-Key", "--auth-value", "$WEATHER_API_KEY", "--auth-in", "header" ], "env": { "WEATHER_API_KEY": "your_key_here" } } } }


CLI Reference

npx mcp-openapi --spec <url-or-path> [options]
General Options
OptionShortDefaultDescription
--spec -s*required*OpenAPI spec URL or local file path
--config -cJSON config file path
--base-url from specOverride the API base URL
--prefix Prefix for all tool names (e.g. github -> github_list_repos)
--include allComma-separated operationIds to include
--exclude noneComma-separated operationIds to exclude
--timeout 30000HTTP request timeout in milliseconds
--max-retries 3Max retries on 429/5xx responses
--header -HCustom header (repeatable)
--transport stdioTransport type: stdio or sse
--port 3000Port for SSE transport
--help-hShow help
--version-vShow version
--license-key Pro license key (or $MCP_OPENAPI_LICENSE_KEY env)
--server 0Select API server by index, partial URL, or exact URL
--no-doc-warningsSuppress doc quality warnings on startup
--dynamic-discoveryauto (100+)Enable dynamic tool discovery for large APIs
Auth Options

Bearer token:

OptionDescription
--auth-type bearerUse Bearer token authentication
--auth-token The token value (supports $ENV_VAR syntax)

API key:

OptionDescription
--auth-type api-keyUse API key authentication
--auth-name Header or query parameter name
--auth-value The API key value (supports $ENV_VAR syntax)
--auth-in Where to send the key (default: header)

OAuth2 client credentials:

OptionDescription
--auth-type oauth2Use OAuth2 client credentials flow
--auth-client-id OAuth2 client ID
--auth-client-secret OAuth2 client secret
--auth-token-url Token endpoint URL
--auth-scopes Comma-separated scopes

CLI Examples

# Basic usage with a remote spec

npx mcp-openapi --spec https://petstore3.swagger.io/api/v3/openapi.json

Local YAML spec with Bearer auth

npx mcp-openapi --spec ./api.yaml --auth-type bearer --auth-token '$API_KEY'

Filter to specific endpoints with a prefix

npx mcp-openapi --spec ./api.json --prefix myapi --include 'listUsers,getUser'

Override base URL (useful for local dev)

npx mcp-openapi --spec https://api.example.com/openapi.json --base-url http://localhost:3000

Add custom headers

npx mcp-openapi --spec ./api.json -H 'X-Custom: value' -H 'X-Another: value2'

Use a JSON config file

npx mcp-openapi --config ./mcp-config.json

Select staging server

npx mcp-openapi --spec ./api.json --server staging

Large API with dynamic discovery

npx mcp-openapi --spec https://api.stripe.com/openapi.json --dynamic-discovery

Config File Format

Instead of CLI flags, you can use a JSON config file:

{

"spec": "https://api.example.com/openapi.json", "prefix": "myapi", "include": ["listUsers", "getUser", "createUser"], "auth": { "type": "bearer", "token": "$API_TOKEN" }, "timeout": 15000, "maxRetries": 2, "headers": { "X-Custom-Header": "value" } }

CLI arguments take precedence over config file values.


Supported Specs

FormatVersionsFile types
OpenAPI3.0.x, 3.1.x.json, .yaml, .yml
Swagger2.0.json, .yaml, .yml

Specs can be loaded from:

  • Remote URLs (https://...)
  • Local file paths (./api.yaml, /absolute/path/spec.json)

v0.3.0 Features

Doc Quality Warnings

On startup, mcp-openapi checks each tool's documentation quality. If endpoints have sparse descriptions (under 50 characters), you'll see a warning:

[mcp-openapi] WARN: Doc quality: 11 of 47 tools have sparse documentation (<50 chars)

[mcp-openapi] WARN: Affected: getUser, createOrder, deleteItem, updateCart, listTags, ... [mcp-openapi] WARN: LLM accuracy may be reduced for these endpoints.

This helps you identify which API endpoints might cause poor LLM tool-calling accuracy. Suppress with --no-doc-warnings.

Server Filtering

OpenAPI specs can define multiple servers (production, staging, dev). Select which one to use:

# Use first server (default behavior)

mcp-openapi --spec api.json --server 0

Match by URL keyword

mcp-openapi --spec api.json --server prod

Exact URL

mcp-openapi --spec api.json --server https://api.example.com/v2

If the selector doesn't match, you'll see all available servers listed.

Dynamic Tool Discovery

For large APIs with 100+ endpoints, registering all tools at once can overwhelm the LLM's context. Dynamic discovery solves this by registering 3 meta-tools instead:

Meta-toolDescription
search_operations(query)Search tools by keyword in names, descriptions, and tags
list_by_tag(tag?)Browse tools by OpenAPI tag, or list all tags
get_tool_details(tool_name)Get full parameter schema for a specific tool

The LLM explores the API through these meta-tools, then calls specific endpoints by name.

# Explicit opt-in

mcp-openapi --spec large-api.json --dynamic-discovery

Auto-enabled when spec has 100+ endpoints

mcp-openapi --spec https://api.github.com/openapi.json

Or via config file:

{

"spec": "https://api.stripe.com/openapi.json", "dynamicDiscovery": true, "auth": { "type": "bearer", "token": "$STRIPE_KEY" } }


Pro Features (v0.2.0+)

mcp-openapi includes optional Pro features for teams and power users, gated by a license key.

Custom Response Transforms

Shape API responses with JMESPath expressions before they reach the LLM — reducing token usage and improving accuracy:

{

"spec": "https://api.github.com/openapi.json", "licenseKey": "$MCP_OPENAPI_LICENSE

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