OpenAPI Unbundler▌

by auto-browse
Split OpenAPI specification files into focused, manageable parts while preserving references for better documentation an
Splits and extracts portions of OpenAPI specification files into smaller, more focused files while preserving referenced components for improved documentation and maintainability.
best for
- / API developers managing large OpenAPI specifications
- / Teams wanting modular API documentation
- / Microservices architecture with endpoint separation
capabilities
- / Split OpenAPI specs into multiple smaller files
- / Extract specific endpoints into new OpenAPI files
- / Preserve referenced components automatically
- / Maintain valid OpenAPI structure after splitting
what it does
Breaks down large OpenAPI specification files into smaller, focused files or extracts specific endpoints while maintaining all necessary component references.
about
OpenAPI Unbundler is a community-built MCP server published by auto-browse that provides AI assistants with tools and capabilities via the Model Context Protocol. Split OpenAPI specification files into focused, manageable parts while preserving references for better documentation an It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install OpenAPI Unbundler in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
OpenAPI Unbundler is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
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/)
FAQ
- What is the OpenAPI Unbundler MCP server?
- OpenAPI Unbundler is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for OpenAPI Unbundler?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
OpenAPI Unbundler is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated OpenAPI Unbundler against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: OpenAPI Unbundler is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
OpenAPI Unbundler reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend OpenAPI Unbundler for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: OpenAPI Unbundler surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
OpenAPI Unbundler has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, OpenAPI Unbundler benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired OpenAPI Unbundler into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
OpenAPI Unbundler is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.