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.
İlgili Sunucular
Scout Monitoring MCP
sponsorPut performance and error data directly in the hands of your AI assistant.
Alpha Vantage MCP Server
sponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
mcp-backpressure
Backpressure and concurrency control middleware for FastMCP. Prevents server overload from LLM tool-call storms with configurable limits and JSON-RPC errors.
AC to Automation Converter
An AI-powered system that converts Acceptance Criteria (AC) from QA specifications into automated browser testing workflows.
Flowbite MCP
This MCP server is the official tool that allows you to work with the Flowbite UI framework and generate websites, layouts, and themes using AI
XRPL MCP
An MCP server for the XRP Ledger blockchain, offering tools for wallet operations, token management, NFTs, and DEX trading.
Tiktoken MCP
Count tokens using OpenAI's tiktoken library.
Remote MCP Server Authless
An example of a remote MCP server deployable on Cloudflare Workers without authentication.
CLI MCP Server
A secure MCP server for executing controlled command-line operations with comprehensive security features.
FastMCP-Scala
A Scala 3 library for building Model Context Protocol (MCP) servers.
MCP Spec Navigator
Navigate and explore the Model Context Protocol specification with dynamic markdown tree generation and intelligent section navigation.
Figma Context MCP
Provides Figma layout information to AI coding agents like Cursor.