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Preloop MCP Server

@preloop

Repository

Basic information

Category

Other

Transports

stdio

Auth

oauth

Author

preloop

Submitted by

Dimitris Moraitis

About Preloop MCP Server

Preloop is the MCP Governance Layer. Add approval gates to AI tool calls. Intercept risky actions, collect human decisions, and keep an audit trail.

#governance#automation#claude#cursor#audit#security#human-approval#gate

Preloop MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "preloop": {
      "url": "https://preloop.ai/mcp/v1",
      "transport": "http-streaming",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY_HERE"
      }
    }
  }
}

Preloop MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

This server requires authentication. Tool discovery may require signing in or credentials from the provider.

Fetch the live tool list directly from this server's endpoint using the button above.

Overview

What is Preloop?

Preloop is an open-source, event-driven automation platform with built-in human-in-the-loop safety. It acts as an MCP proxy, intercepting sensitive operations called by AI agents and routing them for human approval. It integrates with issue trackers like Jira, GitHub, and GitLab.

How to use Preloop?

Clone the repository, create a Python virtual environment (3.11+), install dependencies, set up PostgreSQL 14+ with PGVector, and configure environment variables in .env. Start the API server with ./start.sh and the sync service with preloop-sync scan all. Alternatively, deploy with Docker Compose or a Helm chart for Kubernetes.

Key features of Preloop

  • Event-driven automation with AI agents responding to tool events
  • Human-in-the-loop safety intercepting sensitive operations for approval
  • Built-in MCP server with 6 tools and JWT authentication
  • Tool management and proxying of external MCP servers
  • Issue tracker integration (Jira, GitHub, GitLab) with continuous sync
  • Vector search and automated duplicate detection
  • Compliance metrics and improvement recommendations
  • Modern web UI built with Lit, Vite, and Shoelace Web Components

Use cases of Preloop

  • Automate issue tracking workflows with human approval gates
  • Implement compliance checks and recommendations for issue descriptions
  • Detect duplicate and overlapping issues automatically
  • Enable AI agents to respond to events with safety oversight
  • Approve sensitive tool calls via email or mobile app notifications

Frequently asked questions

1

What runtime dependencies are required?

Python 3.11+, PostgreSQL 14+ with the PGVector extension for vector search capabilities.

2

Can I disable self-registration?

Yes. Set `REGISTRATION_ENABLED=false` in your `.env` file or Docker environment. This hides the sign-up UI, redirects `/register` to `/login`, and returns 403 on the registration API endpoint.

3

How do I access the API documentation?

When the server is running, the interactive API docs are at `http://localhost:8000/docs` and the OpenAPI spec at `http://localhost:8000/openapi.json`.

4

What issue trackers are supported?

Jira (Cloud and Server), GitHub Issues, and GitLab Issues. Azure DevOps and Linear are planned for future releases.

5

What is the difference between Open Source and Enterprise Preloop?

The open-source version provides single-user approval workflows with email and mobile app notifications. The Enterprise edition adds RBAC, team-based approvals with quorum, escalation, and Slack/Mattermost notifications.

Comments

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