广告合作
MCP.so
登录
P

Preloop MCP Server

@preloop

代码仓库

基本信息

分类

其他

传输方式

stdio

认证方式

oauth

作者

preloop

提交者

Dimitris Moraitis

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Preloop MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

此服务需要认证，获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

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

常见问题

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.

评论

其他 分类下的更多 MCP 服务器

Yuppsy

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Klarix Intelligence Engine

Klarix

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K
广告合作