Model Context Protocol

Veilbreak MCP Server

Connect your AI applications to the Veilbreak research database using the Model Context Protocol. A native, read-only endpoint that exposes approved, published protocols and experiments through a standardized interface — contributor personal information is never included.

API:

Last modified: June 29, 2026

Quick Install Links

Click to add the Veilbreak MCP server to your application

Server URL

https://veilbreak.ai/api/mcp

What is the Model Context Protocol?

The Model Context Protocol (MCP) is an open protocol that standardizes how AI applications provide context to Large Language Models (LLMs). It enables seamless integration with data sources and tools, allowing you to build powerful AI agents and complex workflows.

Standardized Interface

Connect to any MCP-compatible client

Live, Read-Only Data

Query approved research data instantly — no writes

Privacy-Preserving

Contributor names and emails are redacted

Configuration Examples

Add the Veilbreak MCP server to your application's configuration file

VS Code MCP Configuration

{
  "servers": {
    "veilbreak": {
      "type": "http",
      "url": "https://veilbreak.ai/api/mcp"
    }
  }
}

Available Tools

Functions you can call through the MCP server

Get Protocols

get_protocols

Retrieve all approved, published protocols from the database

Parameters:None

Returns:Array of protocol objects with complete protocol details

Get Protocol by ID

get_protocol_by_id

Retrieve a single approved protocol by its numeric ID

Parameters:id: number (required)

Returns:A single protocol object with full content and metadata

Get Experiments

get_experiments

Retrieve all approved, published experiments (trials) from the database

Parameters:None

Returns:Array of experiment objects with all fields including questionnaire data

Get Experiment by ID

get_experiment_by_id

Retrieve a single approved experiment (trial) by its numeric ID

Parameters:id: number (required)

Returns:A single experiment object with questionnaire and protocol fields

Get Schema

get_schema

Retrieve taxonomies, metadata fields, and the questionnaire structure

Parameters:None

Returns:Schema object describing enums, fields, and questionnaire layout

Ready to Get Started?

Connect your AI applications to the Veilbreak research database and start building intelligent tools powered by our experimental data.

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Free access • No API key required • Read-only access to approved data • No contributor personal data