Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Load OpenAPI 2.x/3.x specs and expose generic tools to discover and call multiple APIs.
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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-mcpPaste 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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
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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 (0.3.3) reached the registry 7 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, Apify MCP Server
Servers in the same category from other makers, sorted by stars.
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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openapi-dynamic-mcp
Connect AI clients to OpenAPI APIs quickly, with one MCP server, direct CLI access, and built-in auth support.
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:
specUrl definitions3.0, 3.1, and Swagger 2.0429 Too Many Requests.20+Run the MCP server directly:
npx -y openapi-dynamic-mcp@latest --config ./config.yaml
Minimal config:
version: 1
apis:
You can also point at a remote spec:
version: 1
apis:
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:
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 commandsspecPath or specUrl: where to load the OpenAPI spec frombaseUrl: override the server URL from the specheaders: headers to send on every requesttimeoutMs: default request timeoutretry429: retry behavior for rate-limited APIsoauth2Schemes: per-scheme OAuth settings when the spec defines OAuth securityUse 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:
tokenUrlscopestokenEndpointAuthMethodauthMethoddeviceAuthorizationEndpointpkceIf you only need credentials, environment variables are often enough. Use oauth2Schemes when you want reusable config checked into the project.
{
"mcpServers": { "openapi": { "command": "npx", "args": [ "-y", "openapi-dynamic-mcp@latest", "--config", "/absolute/path/to/config.yaml" ], "env": { "PET_API_BASE_URL": "http://localhost:3000" } } } }
{
"mcpServers": { "openapi": { "command": "npx", "args": [ "-y", "openapi-dynamic-mcp@latest", "--config", "/absolute/path/to/config.yaml" ] } } }
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.
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 pathUse 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.
Supported authentication types:
Typical auth flow:
auth once if the scheme needs a stored tokenBy default, tokens are stored beside your config file in:
.openapi-dynamic-mcp-auth.json
You can override that path with either:
--auth-fileOPENAPI_DYNAMIC_MCP_AUTH_FILEThis makes repeated API use much smoother, especially for MCP clients that need to reconnect often.
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 are useful for secrets, base URL overrides, and CI setups.
Names are derived from normalized API and scheme names:
__ are collapsed_ are removedExamples:
pet-api -> PET_APIOAuth2 -> OAUTH2 _BASE_URL _HEADERS as a JSON object stringOPENAPI_DYNAMIC_MCP_AUTH_FILE _ _API_KEY _ _TOKEN _ _USERNAME _ _PASSWORD _ _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 falseUseful 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.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.
get_api_schema adds a _sizeWarning advisory field when the response is very large, prompting you to narrow the JSON Pointer.
make_endpoint_request supports dryRun: true so you can confirm the URL, headers, auth, and serialized body before sending a real request.
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" } } }
These five tools cover the main user workflows:
| Tool | Purpose |
|---|
| list_apis | List configured
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