MCP OpenAPI
This project aims to accelerate the adoption of the MCP protocol by simplifying server generation through automated tooling.
It parses an OpenAPI specification and dynamically generates the corresponding MCP server components.
Key Features
- Parses OpenAPI specifications
- Dynamically generates MCP-compatible server code and tools
- Designed to streamline integration and deployment
Use Cases
One common use case is deploying this application as a sidecar alongside existing services.
This enables seamless MCP support without requiring manual server implementation.
and promotes faster adoption of the MCP protocol within modern service architectures.
Workflow```mermaid
sequenceDiagram
actor user as User
actor agent as Agent
participant ingress as Ingress
participant mcp_proxy as MCP Proxy
participant openapi_server as OpenAPI Server
participant db as Database
user->>ingress: Request for OpenAPI resource
ingress->>openapi_server: Forward request
openapi_server->>db: Query database
db-->>openapi_server: Database response
openapi_server-->> user: OpenAPI Server response
Note over user,db: LLM interaction
user->>agent: Send a prompt
agent->>ingress: Request for MCP tool
ingress->>mcp_proxy: Forward request
mcp_proxy->>openapi_server: Forward request
openapi_server->>db: Query database
db-->>openapi_server: Database response
openapi_server-->>mcp_proxy: OpenAPI Server response
mcp_proxy-->>agent: MCP server response
agent-->>user: Prompt response
## Environment variables
| Name | Default | Description |
| ---------------- | --------------- | ------------------------------------------------------------ |
| OPENAPI_SPEC_URL | | URL of the Open API specification. |
| TRANSPORT | streamable-http | Transport type to use for communication with the MCP server. |
| HOST | 127.0.0.1 | Hostname or IP address to bind the server to. |
| PORT | 8000 | Port number to listen on. |
## How to setup a development environment
This project includes **Dev Container** support, making it easy to get started with a fully configured development environment. This ensures consistency across development setups and allows contributors to begin working without manual environment configuration.
### Option 1: GitHub Codespaces
You can launch a cloud-based development environment instantly:
### Option 2: Local Dev Container (Visual Studio Code)
1. Install Visual Studio Code.
1. Install the Dev Containers extension.
1. Ensure you have a container runtime installed and running:
- Docker Desktop (Windows/macOS)
- Docker Engine or Podman (Linux)
1. Open this repository in Visual Studio Code.
1. When prompted, reopen the project in a Dev Container.
## Validation
A helper script is provided to validate the MCP server.
It uses the MCP Python SDK to connect, list tools, and execute them.
### List available tools```bash
./tests/client.py -m http://localhost:8000/mcp
Example output:```json
{
"properties": {
"url": {
"title": "Url",
"type": "string"
}
},
"required": ["url"],
"title": "fetch_websiteArguments",
"type": "object"
}
### Call a tool```bash
./tests/client.py -m http://localhost:8000/mcp -a call-tool -t fetch -i url=https://electrocucaracha.com/acerca/
Example output (truncated):html
<!DOCTYPE html>
<html lang="es">
<head>
<meta charset="UTF-8" />
...
</head>
</html>
