Unbundle OpenAPI MCP Server
A server for splitting and extracting parts of OpenAPI specifications using Redocly CLI.
Unbundle OpenAPI MCP Server
This project provides a Model Context Protocol (MCP) server with tools to split OpenAPI specification files into multiple files or extract specific endpoints into a new file. It allows an MCP client (like an AI assistant) to manipulate OpenAPI specifications programmatically.
Prerequisites
- Node.js (LTS version recommended, e.g., v18 or v20)
- npm (comes with Node.js)
Usage
Installing via Smithery
To install Unbundle OpenAPI MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @auto-browse/unbundle_openapi_mcp --client claude
The easiest way to use this server is via npx, which ensures you are always using the latest version without needing a global installation.
npx @auto-browse/unbundle-openapi-mcp@latest
Alternatively, you can install it globally (not generally recommended):
npm install -g @auto-browse/unbundle-openapi-mcp
# Then run using: unbundle-openapi-mcp
The server will start and listen for MCP requests on standard input/output (stdio).
Client Configuration
To use this server with MCP clients like VS Code, Cline, Cursor, or Claude Desktop, add its configuration to the respective settings file. The recommended approach uses npx.
VS Code / Cline / Cursor
Add the following to your User settings.json (accessible via Ctrl+Shift+P > Preferences: Open User Settings (JSON)) or to a .vscode/mcp.json file in your workspace root.
// In settings.json:
"mcp.servers": {
"unbundle_openapi": { // You can choose any key name
"command": "npx",
"args": [
"@auto-browse/unbundle-openapi-mcp@latest"
]
}
// ... other servers can be added here
},
// Or in .vscode/mcp.json (omit the top-level "mcp.servers"):
{
"unbundle_openapi": { // You can choose any key name
"command": "npx",
"args": [
"@auto-browse/unbundle-openapi-mcp@latest"
]
}
// ... other servers can be added here
}
Claude Desktop
Add the following to your claude_desktop_config.json file.
{
"mcpServers": {
"unbundle_openapi": {
// You can choose any key name
"command": "npx",
"args": ["@auto-browse/unbundle-openapi-mcp@latest"]
}
// ... other servers can be added here
}
}
After adding the configuration, restart your client application for the changes to take effect.
MCP Tools Provided
split_openapi
Description: Executes the redocly split command to unbundle an OpenAPI definition file into multiple smaller files based on its structure.
Arguments:
apiPath(string, required): The absolute path to the input OpenAPI definition file (e.g.,openapi.yaml).outputDir(string, required): The absolute path to the directory where the split output files should be saved. This directory will be created if it doesn't exist.
Returns:
- On success: A text message containing the standard output from the
redocly splitcommand (usually a confirmation message). - On failure: An error message containing the standard error or exception details from the command execution, marked with
isError: true.
Example Usage (Conceptual MCP Request):
{
"tool_name": "split_openapi",
"arguments": {
"apiPath": "/path/to/your/openapi.yaml",
"outputDir": "/path/to/output/directory"
}
}
extract_openapi_endpoints
Description: Extracts specific endpoints from a large OpenAPI definition file and creates a new, smaller OpenAPI file containing only those endpoints and their referenced components. It achieves this by splitting the original file, modifying the structure to keep only specified paths, and then bundling the result.
Arguments:
inputApiPath(string, required): The absolute path to the large input OpenAPI definition file.endpointsToKeep(array of strings, required): A list of the exact endpoint paths (strings) to include in the final output (e.g.,["/api", "/api/projects/{id}{.format}"]). Paths not found in the original spec will be ignored.outputApiPath(string, required): The absolute path where the final, smaller bundled OpenAPI file should be saved. The directory will be created if it doesn't exist.
Returns:
- On success: A text message indicating the path of the created file and the standard output from the
redocly bundlecommand. - On failure: An error message containing details about the step that failed (split, modify, bundle), marked with
isError: true.
Example Usage (Conceptual MCP Request):
{
"tool_name": "extract_openapi_endpoints",
"arguments": {
"inputApiPath": "/path/to/large-openapi.yaml",
"endpointsToKeep": ["/users", "/users/{userId}/profile"],
"outputApiPath": "/path/to/extracted-openapi.yaml"
}
}
Note: This server uses npx @redocly/cli@latest internally to execute the underlying split and bundle commands. An internet connection might be required for npx to fetch @redocly/cli if it's not cached. Temporary files are created during the extract_openapi_endpoints process and automatically cleaned up.
Development
If you want to contribute or run the server from source :
- Clone: Clone this repository.
- Navigate:
cd unbundle_openapi_mcp - Install Dependencies:
npm install - Build:
npm run build(compiles TypeScript todist/) - Run:
npm start(starts the server using the compiled code indist/)
संबंधित सर्वर
Scout Monitoring MCP
प्रायोजकPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
प्रायोजकAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
MCP Expr Lang
MCP Expr-Lang provides a seamless integration between Claude AI and the powerful expr-lang expression evaluation engine.
Vibe Coder
An advanced MCP server for semantic routing, code generation, workflows, and AI-assisted development.
Storybook MCP
A universal MCP server that connects to any Storybook site and extracts documentation in real-time using Playwright. Use it with any AI or client that supports MCP (Model Context Protocol)—Cursor, Claude Desktop, Windsurf, or other MCP hosts.
Pica MCP Server
Integrates with the Pica API platform to interact with various third-party services through a standardized interface.
Sleep MCP Server
Pauses the execution of an agent for a specified duration.
Gemsuite
The ultimate open-source server for advanced Gemini API interaction with MCP, intelligently selects models.
Pickaxe AI Agent MCP
Manage your pickaxe.co AI agents, knowledge bases, users, and analytics directly through natural language.
Mong MCP Server
A moby-like random name generator for use with tools like Claude Desktop and VS Code Copilot Agent.
Process Manager MCP
Manage long-running bash processes and persist their logs.
Random Number
Provides LLMs with essential random generation abilities, built entirely on Python's standard library.