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Openapi Dynamic

by mayorandrewversion 0.3.3i★ –iRuns on your computer
Registry nameio.github.mayorandrew/openapi-dynamic

Install

Overview

Description from the maker (original English)

Load OpenAPI 2.x/3.x specs and expose generic tools to discover and call multiple APIs.

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "openapi-dynamic": {
      "command": "npx",
      "args": [
        "-y",
        "openapi-dynamic-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": {
    "openapi-dynamic": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "openapi-dynamic-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 mayorandrew, 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 32435 servers in this category
  • Published to the registry more recently than 7% of the other 32435 servers in this category
  • Basic checks equal to or better than 100% of the other 32435 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 Dynamic 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 (0.3.3) reached the registry 7 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, Apify MCP Server

Alternatives

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

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

Runs on your computer★ 440MITUpdated 14 months ago
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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
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Runs in the cloudUpdated today
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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.

openapi-dynamic-mcp

Connect AI clients to OpenAPI APIs quickly, with one MCP server, direct CLI access, and built-in auth support.

Table of Contents

  • Overview
  • Highlights
  • Requirements
  • Quick Start
  • Configuration
  • Client Setup
  • CLI
  • Authentication
  • Environment Variables
  • Working with Responses
  • Files and Binary Data
  • MCP Tools
  • Development
  • License

Overview

openapi-dynamic-mcp lets MCP clients and shell users work with OpenAPI APIs without writing custom glue code for each service. Point it at one or more OpenAPI specs, then list APIs, inspect endpoints, authenticate, and make requests through a consistent interface.

It is designed for common user workflows:

  • Connect multiple APIs through one MCP server
  • Use local specs or hosted specUrl definitions
  • Work with OpenAPI 3.0, 3.1, and Swagger 2.0
  • Handle API key, bearer, basic, and OAuth2 auth
  • Reuse stored tokens across sessions
  • Filter large responses down to the fields you need
  • Preview requests safely before sending them

Highlights

  • Get from spec to usable tools fast: start from a YAML config and immediately browse endpoints or call them from MCP or the CLI.
  • Authenticate the way your API expects: supports API keys, bearer/basic auth, and OAuth2 client credentials, password, device code, and auth code with PKCE.
  • Avoid repeated sign-in work: store tokens once and reuse them later.
  • Handle interactive OAuth cleanly: device-code and browser-based auth return instructions an agent can present to the user.
  • Keep responses focused: project large outputs with JSONPath selectors.
  • Inspect before you send: use dry runs to preview request shape without network I/O.
  • Upload files when needed: supports multipart form uploads and raw binary bodies.
  • Stay resilient against rate limits: configurable retries for 429 Too Many Requests.

Requirements

  • Node.js 20+

Quick Start

Run the MCP server directly:

npx -y openapi-dynamic-mcp@latest --config ./config.yaml

Minimal config:

version: 1

apis:

  • name: pet-api specPath: ./pet-api.yaml

You can also point at a remote spec:

version: 1

apis:

  • name: pet-api specUrl: https://api.example.com/openapi.json

Configuration

Add each API you want to use under apis. Each entry can point to a local spec file or a remote spec URL.

version: 1

apis:

  • name: pet-api specPath: ./pet-api.yaml

specUrl: https://api.example.com/openapi.yaml

baseUrl: https://api.example.com/v1 timeoutMs: 30000 headers: X-Client: openapi-dynamic-mcp retry429: maxRetries: 2 baseDelayMs: 250 maxDelayMs: 5000 jitterRatio: 0.2 respectRetryAfter: true oauth2Schemes: OAuthCC: tokenUrl: https://auth.example.com/oauth2/token scopes: [read:pets, write:pets] tokenEndpointAuthMethod: client_secret_basic UserAuth: authMethod: device_code deviceAuthorizationEndpoint: https://auth.example.com/oauth/device pkce: true

Common options:

  • name: the API name shown in MCP and CLI commands
  • specPath or specUrl: where to load the OpenAPI spec from
  • baseUrl: override the server URL from the spec
  • headers: headers to send on every request
  • timeoutMs: default request timeout
  • retry429: retry behavior for rate-limited APIs
  • oauth2Schemes: per-scheme OAuth settings when the spec defines OAuth security
Per-Scheme OAuth2 Configuration

Use oauth2Schemes when an API defines one or more OAuth2 security schemes and you want to set token URLs, scopes, or interactive auth preferences for a specific scheme.

The scheme name must match the name in the OpenAPI spec. Common options are:

  • tokenUrl
  • scopes
  • tokenEndpointAuthMethod
  • authMethod
  • deviceAuthorizationEndpoint
  • pkce

If you only need credentials, environment variables are often enough. Use oauth2Schemes when you want reusable config checked into the project.

Client Setup

Claude Desktop / Claude Code
{

"mcpServers": { "openapi": { "command": "npx", "args": [ "-y", "openapi-dynamic-mcp@latest", "--config", "/absolute/path/to/config.yaml" ], "env": { "PET_API_BASE_URL": "http://localhost:3000" } } } }

Cursor
{

"mcpServers": { "openapi": { "command": "npx", "args": [ "-y", "openapi-dynamic-mcp@latest", "--config", "/absolute/path/to/config.yaml" ] } } }

CLI

Server mode is available as either the root command or the explicit serve subcommand:

openapi-dynamic-mcp --config ./config.yaml

openapi-dynamic-mcp serve --config ./config.yaml

Use the CLI when you want the same API access outside your MCP client, for scripting, debugging, or auth setup.

Tool Commands

Every MCP tool is also available as a CLI subcommand that accepts one JSON object and emits JSON output:

openapi-dynamic-mcp list_apis --config ./config.yaml --input '{}'

openapi-dynamic-mcp list_api_endpoints --config ./config.yaml --input '{"apiName":"pet-api"}' openapi-dynamic-mcp get_api_endpoint --config ./config.yaml --input '{"apiName":"pet-api","endpointId":"listPets"}' openapi-dynamic-mcp get_api_schema --config ./config.yaml --input '{"apiName":"pet-api","pointer":"/info"}' openapi-dynamic-mcp make_endpoint_request --config ./config.yaml --input '{"apiName":"pet-api","endpointId":"listPets","dryRun":true}'

Shared flags:

  • --input : JSON object with command arguments
  • --fields : repeatable selector for filtering successful output
  • --describe: print the command schema and help metadata
  • --auth-file : override the auth-store path
Auth Command

Use auth to pre-authenticate one configured security scheme and persist its token for later MCP or CLI calls:

openapi-dynamic-mcp auth --config ./config.yaml --api pet-api --scheme OAuthCC

openapi-dynamic-mcp auth --config ./config.yaml --api pet-api --scheme ApiKeyAuth --token secret

For API key and bearer auth, --token provides the secret directly. For OAuth2, the command uses your configured credentials, completes the flow, and stores the result for later use.

Authentication

Supported authentication types:

  • API key
  • HTTP bearer
  • HTTP basic
  • OAuth2 client credentials
  • OAuth2 password grant (ROPC)
  • OAuth2 device code
  • OAuth2 authorization code with PKCE

Typical auth flow:

  1. Provide credentials through environment variables or config
  2. Run auth once if the scheme needs a stored token
  3. Reuse that token from MCP or the CLI until it expires or changes
Auth Store

By default, tokens are stored beside your config file in:

.openapi-dynamic-mcp-auth.json

You can override that path with either:

  • --auth-file
  • OPENAPI_DYNAMIC_MCP_AUTH_FILE

This makes repeated API use much smoother, especially for MCP clients that need to reconnect often.

Interactive OAuth2 Flows

When a request needs user interaction, the tool returns structured guidance that an MCP agent can relay to the user. Typical device-code output looks like:

{

"status": "authorization_required", "method": "device_code", "message": "User authorization required. Ask the user to visit the URL and enter the code.", "verificationUri": "https://auth.example.com/device", "userCode": "ABCD-1234", "instruction": "After the user confirms, call this endpoint again." }

This is especially useful for MCP agents because the auth step becomes a normal part of the user workflow instead of a dead-end error.

Environment Variables

Environment variables are useful for secrets, base URL overrides, and CI setups.

Names are derived from normalized API and scheme names:

  • Uppercase
  • Non-alphanumeric characters become _
  • Repeated _ are collapsed
  • Leading and trailing _ are removed

Examples:

  • pet-api -> PET_API
  • OAuth2 -> OAUTH2
API-Level Variables
  • _BASE_URL
  • _HEADERS as a JSON object string
  • OPENAPI_DYNAMIC_MCP_AUTH_FILE
API Key
  • _ _API_KEY
HTTP Auth
  • _ _TOKEN
  • _ _USERNAME
  • _ _PASSWORD
OAuth2
  • _ _ACCESS_TOKEN
  • _ _CLIENT_ID
  • _ _CLIENT_SECRET
  • _ _TOKEN_URL
  • _ _SCOPES as a space-delimited list
  • _ _TOKEN_AUTH_METHOD as client_secret_basic or client_secret_post
  • _ _USERNAME
  • _ _PASSWORD
  • _ _AUTH_METHOD as device_code or authorization_code
  • _ _DEVICE_AUTHORIZATION_ENDPOINT
  • _ _REDIRECT_PORT
  • _ _PKCE as true or false

Useful behaviors:

  • _ACCESS_TOKEN bypasses OAuth grant flows entirely.
  • _AUTH_METHOD forces device_code or authorization_code when both are possible.
  • _USERNAME and _PASSWORD are used for both HTTP basic auth and OAuth password grant, depending on the security scheme.

Working with Responses

JSONPath Filtering

CLI --fields and MCP fields: string[] let you keep only the parts of a successful response you care about. This is helpful when specs or payloads are too large to inspect comfortably.

Examples:

openapi-dynamic-mcp list_apis --config ./config.yaml --fields '$.apis[*].name'

openapi-dynamic-mcp get_api_endpoint --config ./config.yaml --input '{"apiName":"pet-api","endpointId":"listPets"}' --fields '$.responses'

Selectors support quoted member escaping, array indexes, and wildcards.

Large Schema Warnings

get_api_schema adds a _sizeWarning advisory field when the response is very large, prompting you to narrow the JSON Pointer.

Dry Runs

make_endpoint_request supports dryRun: true so you can confirm the URL, headers, auth, and serialized body before sending a real request.

Files and Binary Data

make_endpoint_request supports both multipart/form-data and raw binary uploads.

Each file entry must provide exactly one content source: base64, text, or filePath.

{

"name": "avatar.png", "contentType": "image/png", "filePath": "/absolute/path/to/avatar.png" }

Multipart example:

{

"apiName": "pet-api", "endpointId": "uploadProfile", "contentType": "multipart/form-data", "body": { "description": "A photo of Fido" }, "files": { "profileImage": { "name": "fido.jpg", "contentType": "image/jpeg", "filePath": "/Users/local/images/fido.jpg" } } }

Raw binary example:

{

"apiName": "pet-api", "endpointId": "uploadRaw", "contentType": "application/octet-stream", "files": { "body": { "filePath": "/Users/local/data.bin" } } }

MCP Tools

These five tools cover the main user workflows:

ToolPurpose

| list_apis | List configured

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