ZeroPath MCP Server
Interact with your product security findings using natural language.
ZeroPath MCP Server
Interact with ZeroPath security findings via MCP-compatible tools.
This MCP server calls ZeroPath tRPC V2 procedures directly (no REST wrappers) and returns structured JSON responses suitable for agent consumption.
Blog Post
Learn more about why we built this and how it fits into the evolving AI development ecosystem:
Chat With Your AppSec Scans: Introducing the ZeroPath MCP Server
Installation
Quick Install (Recommended)
Install directly from GitHub:
# Using pip
pip install git+https://github.com/ZeroPathAI/zeropath-mcp-server.git
# Using uvx (run without installing)
uvx --from git+https://github.com/ZeroPathAI/zeropath-mcp-server zeropath-mcp-server
You can also pin to a specific version:
# Specific version tag
pip install git+https://github.com/ZeroPathAI/[email protected]
# Latest from main branch
uvx --from "git+https://github.com/ZeroPathAI/zeropath-mcp-server@main" zeropath-mcp-server
From Source
git clone https://github.com/ZeroPathAI/zeropath-mcp-server.git
cd zeropath-mcp-server
uv sync
From PyPI (Optional)
If the package is published to PyPI, you can also install via:
pip install zeropath-mcp-server
Setup
1. Generate API Key
Generate a user-scoped or admin API key from ZeroPath Settings.
2. Configure Environment Variables
export ZEROPATH_BASE_URL="https://zeropath.com" # optional (defaults to https://zeropath.com)
export ZEROPATH_TOKEN_ID=your_token_id
export ZEROPATH_TOKEN_SECRET=your_token_secret
export ZEROPATH_ORG_ID=your_org_id
Use ZEROPATH_BASE_URL to target staging or another environment, for example:
export ZEROPATH_BASE_URL="https://staging.branch.zeropath.com"
Configuration
Add the following to your MCP config file (Claude Desktop, Cursor, etc.):
Using GitHub URL (Recommended)
{
"mcpServers": {
"zeropath": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/ZeroPathAI/zeropath-mcp-server",
"zeropath-mcp-server"
],
"env": {
"ZEROPATH_BASE_URL": "https://zeropath.com",
"ZEROPATH_TOKEN_ID": "your_token_id",
"ZEROPATH_TOKEN_SECRET": "your_token_secret",
"ZEROPATH_ORG_ID": "your_org_id"
}
}
}
}
Using source install
{
"mcpServers": {
"zeropath": {
"command": "uv",
"args": [
"run",
"--project",
"/path/to/zeropath-mcp-server",
"python",
"-m",
"zeropath_mcp_server"
],
"env": {
"ZEROPATH_BASE_URL": "https://zeropath.com",
"ZEROPATH_TOKEN_ID": "your_token_id",
"ZEROPATH_TOKEN_SECRET": "your_token_secret",
"ZEROPATH_ORG_ID": "your_org_id"
}
}
}
}
Using PyPI install (Optional)
{
"mcpServers": {
"zeropath": {
"command": "zeropath-mcp-server",
"env": {
"ZEROPATH_BASE_URL": "https://zeropath.com",
"ZEROPATH_TOKEN_ID": "your_token_id",
"ZEROPATH_TOKEN_SECRET": "your_token_secret",
"ZEROPATH_ORG_ID": "your_org_id"
}
}
}
}
Tool Surface (tRPC V2)
Tools are loaded dynamically from the ZeroPath frontend's MCP manifest at startup.
All tool calls use tRPC V2 procedures directly using tRPC v10 HTTP conventions:
- Queries:
GET /trpc/<procedure>?input=<url-encoded-json> - Mutations:
POST /trpc/<procedure>with the raw JSON input object as the body (not wrapped).
Successful responses are returned as structured JSON with the { "result": { "data": ... } } wrapper removed. Errors return the tRPC error object directly.
The server also performs best-effort client-side input validation using each tool's inputSchema from the manifest and returns a BAD_REQUEST error before calling tRPC when inputs are invalid. If a schema uses unsupported JSON Schema features, client-side validation is skipped for that call (server-side validation remains authoritative).
Example Calls
List issues:
{
"tool": "issues.list",
"input": {
"page": 1,
"pageSize": 25,
"statuses": ["PENDING_REVIEW"],
"sortBy": "score",
"sortOrder": "desc"
}
}
Archive issues:
{
"tool": "issues.archive",
"input": {
"issueIds": ["issue_123", "issue_456"],
"reason": "Confirmed duplicate"
}
}
Create a rule:
{
"tool": "rules.create",
"input": {
"name": "Detect unsafe eval",
"rule": "Detect any use of eval() on user input",
"globPattern": "**/*.js",
"sourceTypes": ["FILE_HANDLER"],
"repositoryIds": ["repo_123"]
}
}
Fetch stats summary:
{
"tool": "stats.summary",
"input": {
"organizationId": "org_123"
}
}
Development
Running Tests
uv run pytest tests/ -v
Building the Package
uv build
Publishing to PyPI (Optional)
uv publish
Contributing
We welcome contributions from the security, AI, and developer tools communities.
- Found a bug? Open an issue
- Want to improve a tool or add a new one? Submit a pull request
- Have feedback or questions? Join us on Discord
License
MIT License - see LICENSE for details.
Serveurs connexes
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Authless Remote MCP Server
An authentication-free remote MCP server designed for deployment on Cloudflare Workers.
MCP Terminal Server
A secure command-line interface server for the Model Context Protocol (MCP) that allows AI models to interact with a user's terminal.
Model Context Protocol servers
A collection of reference server implementations for the Model Context Protocol (MCP) using Typescript and Python SDKs.
TestRail
Interact with TestRail's core entities such as test cases, runs, and results using a standardized protocol.
Alchemy MCP Server
Interact with Alchemy's blockchain APIs to query data without writing code.
Meta MCP Server
An MCP server for intelligent tool routing, using a Qdrant vector database and LM Studio for embeddings.
Sistema de Predicción Energética con IA
An AI-powered system for analyzing and predicting domestic energy consumption. It offers precise forecasts, historical pattern analysis, and personalized optimization recommendations through a conversational interface.
Cloudflare MCP Server
An example MCP server designed for easy deployment on Cloudflare Workers, operating without authentication.
Javadoc MCP
A Model Context Protocol (MCP) server for searching Java documentation. This server enables AI assistants to search and retrieve Java API documentation from JSON files.
A2ABench
Agent-native developer Q&A API with MCP + A2A endpoints for citations, job pickup, and answer submission.