Specbridge▌

by tbosak
Specbridge auto-converts OpenAPI specifications into tools with endpoint generation, parameter validation, authenticatio
Automatically converts OpenAPI specifications into executable tools by scanning folders for spec files and generating corresponding endpoints with parameter validation, authentication support, and HTTP request handling.
best for
- / API developers testing endpoints
- / Building API integration workflows
- / Exploring public APIs from APIs.guru
- / Rapid API prototyping
capabilities
- / Convert OpenAPI specs to executable tools
- / List and manage OpenAPI specification files
- / Download specs from URLs
- / Browse APIs.guru directory
- / Handle authentication with .env files
- / Validate parameters automatically
what it does
Converts OpenAPI specification files into executable MCP tools by scanning folders and auto-generating endpoints with parameter validation and authentication support.
about
Specbridge is a community-built MCP server published by tbosak that provides AI assistants with tools and capabilities via the Model Context Protocol. Specbridge auto-converts OpenAPI specifications into tools with endpoint generation, parameter validation, authenticatio It is categorized under developer tools. This server exposes 11 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Specbridge 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
MIT
Specbridge is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
SpecBridge
[](https://mseep.ai/app/ab3b0729-c54e-4359-aed0-606b90995b59)
[](https://smithery.ai/server/@TBosak/specbridge)
An MCP server that turns OpenAPI specifications into MCP tools. Scan a folder for OpenAPI spec files and automatically generate corresponding tools. No configuration files, no separate servers - just drop specs in a folder and get tools.
Built with [FastMCP](https://www.npmjs.com/package/fastmcp) for TypeScript.
## ✨ Features
- 🎯 **Zero Configuration**: Filesystem is the interface - just drop OpenAPI specs in a folder
- 🔐 **Auto Authentication**: Simple `.env` file with `{API_NAME}_API_KEY` pattern
- 🏷️ **Namespace Isolation**: Multiple APIs coexist cleanly (e.g., `petstore_getPet`, `github_getUser`)
- 📝 **Full OpenAPI Support**: Handles parameters, request bodies, authentication, and responses
- 🚀 **Multiple Transports**: Support for stdio and HTTP streaming
- 🔍 **Built-in Debugging**: List command to see loaded specs and tools
## 🚀 Quick Start
### 1️⃣ Install (optional)
```bash
npm install -g specbridge
```
### 2️⃣ Create a specs folder
```bash
mkdir ~/mcp-apis
```
### 3️⃣ Add OpenAPI specs
Drop any `.json`, `.yaml`, or `.yml` OpenAPI specification files into your specs folder:
```bash
# Example: Download the Petstore spec
curl -o ~/mcp-apis/petstore.json https://petstore3.swagger.io/api/v3/openapi.json
```
### 4️⃣ Configure authentication (optional)
Create a `.env` file in your specs folder:
```bash
# ~/mcp-apis/.env
PETSTORE_API_KEY=your_api_key_here
GITHUB_TOKEN=ghp_your_github_token
OPENAI_API_KEY=sk-your_openai_key
```
### 5️⃣ Add to MCP client configuration
For Claude Desktop or Cursor, add to your MCP configuration:
If installed on your machine:
```json
{
"mcpServers": {
"specbridge": {
"command": "specbridge",
"args": ["--specs", "/path/to/your/specs/folder"]
}
}
}
```
Otherwise:
```json
{
"mcpServers": {
"specbridge": {
"command": "npx",
"args": ["-y", "specbridge", "--specs", "/absolute/path/to/your/specs"]
}
}
}
```
## 💻 CLI Usage
### 🚀 Start the server
```bash
# Default: stdio transport, current directory
specbridge
# Custom specs folder
specbridge --specs ~/my-api-specs
# HTTP transport mode
specbridge --transport httpStream --port 8080
```
### 📋 List loaded specs and tools
```bash
# List all loaded specifications and their tools
specbridge list
# List specs from custom folder
specbridge list --specs ~/my-api-specs
```
## 🔑 Authentication Patterns
The server automatically detects authentication from environment variables using these patterns:
| Pattern | Auth Type | Usage |
|---------|-----------|--------|
| `{API_NAME}_API_KEY` | 🗝️ API Key | `X-API-Key` header |
| `{API_NAME}_TOKEN` | 🎫 Bearer Token | `Authorization: Bearer {token}` |
| `{API_NAME}_BEARER_TOKEN` | 🎫 Bearer Token | `Authorization: Bearer {token}` |
| `{API_NAME}_USERNAME` + `{API_NAME}_PASSWORD` | 👤 Basic Auth | `Authorization: Basic {base64}` |
The `{API_NAME}` is derived from the filename of your OpenAPI spec:
- `petstore.json` → `PETSTORE_API_KEY`
- `github-api.yaml` → `GITHUB_TOKEN`
- `my_custom_api.yml` → `MYCUSTOMAPI_API_KEY`
## 🏷️ Tool Naming
Tools are automatically named using this pattern:
- **With operationId**: `{api_name}_{operationId}`
- **Without operationId**: `{api_name}_{method}_{path_segments}`
Examples:
- `petstore_getPetById` (from operationId)
- `github_get_user_repos` (generated from `GET /user/repos`)
## 📁 File Structure
```
your-project/
├── api-specs/ # Your OpenAPI specs folder
│ ├── .env # Authentication credentials
│ ├── petstore.json # OpenAPI spec files
│ ├── github.yaml #
│ └── custom-api.yml #
└── mcp-config.json # MCP client configuration
```
## 📄 Example OpenAPI Spec
Here's a minimal example that creates two tools:
```yaml
# ~/mcp-apis/example.yaml
openapi: 3.0.0
info:
title: Example API
version: 1.0.0
servers:
- url: https://api.example.com
paths:
/users/{id}:
get:
operationId: getUser
summary: Get user by ID
parameters:
- name: id
in: path
required: true
schema:
type: string
responses:
'200':
description: User found
/users:
post:
operationId: createUser
summary: Create a new user
requestBody:
required: true
content:
application/json:
schema:
type: object
properties:
name:
type: string
email:
type: string
responses:
'201':
description: User created
```
This creates tools named:
- `example_getUser`
- `example_createUser`
## 🔧 Troubleshooting
### ❌ No tools appearing?
1. Check that your OpenAPI specs are valid:
```bash
specbridge list --specs /path/to/specs
```
2. Ensure files have correct extensions (`.json`, `.yaml`, `.yml`)
3. Check the server logs for parsing errors
> **⚠️ Note:** Specbridge works best when you use absolute paths (with no spaces) for the `--specs` argument and other file paths. Relative paths or paths containing spaces may cause issues on some platforms or with some MCP clients.
### 🔐 Authentication not working?
1. Verify your `.env` file is in the specs directory
2. Check the naming pattern matches your spec filename
3. Use the list command to verify auth configuration:
```bash
specbridge list
```
### 🔄 Tools not updating after spec changes?
1. Restart the MCP server to reload the specs
2. Check file permissions
3. Restart the MCP client if needed
## 🛠️ Development
```bash
# Clone and install
git clone https://github.com/TBosak/specbridge.git
cd specbridge
npm install
# Build
npm run build
# Test locally
npm run dev -- --specs ./examples
```
## 🤝 Contributing
Contributions are welcome! Please feel free to submit issues and pull requests.
FAQ
- What is the Specbridge MCP server?
- Specbridge 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 Specbridge?
- 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
Specbridge is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Specbridge against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Specbridge is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Specbridge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Specbridge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Specbridge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Specbridge 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, Specbridge benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Specbridge into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Specbridge is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.