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Onx Mcp Server

Onx Mcp Server

Local
github.com/StevanFreebornBusiness & Marketing0Updated 20w ago

About Onx Mcp Server

Onx Mcp Server connects the Onspring API to MCP for AI assistants that need to read and interact with Onspring data. Its tools cover apps, records, reports, and attachment files.

Key features

  1. 01Lists accessible apps and fields
  2. 02Retrieves and filters app records
  3. 03Reads reports and report data
  4. 04Fetches files from attachment fields
  5. 05Checks the Onspring API connection

Use cases

  1. 01Query business records in Onspring apps
  2. 02Filter and page through records
  3. 03Read app reports for analysis
  4. 04Retrieve files attached to records

MCP support

The MCP server exposes tools for reading Onspring apps, fields, records, reports, and attachment files, as well as querying records and checking the API connection.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"onx": {
"command": "npx",
"args": [
"-y",
"@stevanfreeborn/onx-mcp-server"
],
"env": {
"ONSPRING_API_KEY": "<ONSPRING_API_KEY>",
"ONSPRING_BASE_URL": "<ONSPRING_BASE_URL>"
}
}
}
}
Run commandnpx -y @stevanfreeborn/onx-mcp-server
Environment variables to set
ONSPRING_API_KEYSecret
ONSPRING_BASE_URL

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@stevanfreeborn/onx-mcp-server

Tools

8

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

From the project README

Onspring MCP Server

A Model Context Protocol (MCP) server implementation that integrates with Onspring's API, allowing AI assistants to access and manipulate data stored in Onspring instances.

Description

This server provides a bridge between AI assistants and Onspring instances through the Model Context Protocol. It enables MCP clients to read and interact with your Onspring data, providing capabilities like:

  • Retrieving lists of apps and their fields
  • Fetching records from apps
  • Running queries against apps
  • Accessing report data
  • Retrieve files from attachment fields

Table of Contents

Installation

Prerequisites
  • Node.js
  • An Onspring instance with API access
  • An Onspring API key with appropriate permissions
Installation Steps
  1. Install the package globally:
npm install -g @stevanfreeborn/onx-mcp-server

Or use it directly via npx:

npx @stevanfreeborn/onx-mcp-server
Building from Source

If you want to build from source:

# Clone the repository
git clone https://github.com/your-username/onx-mcp-server.git
cd onx-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

# Start the server
npm start

Usage

In order to use the server, you will need to configure it in the MCP client of your choice. Each MCP client should provide instructions on setting up a MCP server. You will also need to make sure the required environment variables are set. See the Configuration section for more details.

Configuration

The server requires that the following environment variables are set:

VariableDescriptionDefault
ONSPRING_API_KEYYour Onspring API key(Required)
ONSPRING_BASE_URLThe base URL for the Onspring APIhttps://api.onspring.com
Connecting to Claude Desktop

Claude Desktop is a popular MCP client. To connect the Onspring MCP server to Claude Desktop, follow these steps:

  1. Find the claude_desktop_config.json file. Please reference this documentation for more information on where to find this file: For Claude Desktop Users.

  2. Open the claude_desktop_config.json file in a text editor and add the following configuration:

{
  "mcpServers": {
    "onx-mcp-server": {
      "command": "npx",
      "args": ["-y", "@stevanfreeborn/onx-mcp-server"],
      "env": {
        "ONSPRING_API_KEY": "your_onspring_api_key",
        "ONSPRING_BASE_URL": "https://api.onspring.com"
      }
    }
  }
}

Note

The specific command and arguments may vary based on your setup.

Available Tools

The MCP Server exposes the following tools for AI assistants to interact with Onspring:

checkConnectionTool

Verifies that the server can connect to the Onspring API using the provided credentials.

getAppsTool

Retrieves a list of all accessible apps in the Onspring instance.

getFieldsTool

Gets all fields for a specified app.

Parameters:

  • name: The name of the app
getRecordsTool

Retrieves records from an app with specified fields.

Parameters:

  • appName: The name of the app
  • fields: Array of field names to retrieve
  • pageNumber: The page number to start from (1-based)
  • numberOfPages: The number of pages to retrieve
getReportsTool

Gets all reports available for a specified app.

Parameters:

  • appName: The name of the app
getReportDataTool

Retrieves data from a specified report.

Parameters:

  • appName: The name of the app
  • reportName: The name of the report
  • dataType: The type of report data to retrieve (optional)
queryRecordsTool

Queries records from an app using a filter.

Parameters:

  • appName: The name of the app
  • fields: Array of field names to retrieve
  • filter: A filter object to restrict the results
  • pageNumber: The page number to start from (1-based)
  • numberOfPages: The number of pages to retrieve
getFileTool

Retrieves a file stored in an attachment field.

Parameters:

  • appName: The name of the app
  • fieldName: The name of the attachment field
  • recordId: The ID of the record containing the file
  • fileName: The name of the file to retrieve

Development

Setup Development Environment
# Install dependencies
npm install

# Run in development mode (watches for changes)
npm run dev
Testing

The project uses Vitest for testing:

# Run tests
npm test

# Run tests with coverage
npm run test:coverage

# Run tests with UI
npm run test:ui
Inspecting the Server

You can use the MCP Inspector to test the server:

npm run inspect

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.