MCP Trust Layer
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Trust LayerScan the PyPI package 'requests' for security issues"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Trust Layer π
The first security scanner and trust verification layer for the MCP ecosystem.
MCP (Model Context Protocol) is how AI agents connect to tools and data. With 21,000+ MCP servers on GitHub and enterprise deployments accelerating in 2026, there is zero security verification in the ecosystem.
MCP Trust Layer fixes that.
Why This Exists
Every MCP server you install gets:
Read access to
~/.ssh/id_rsa,~/.aws/credentialsNetwork access (exfiltrate data, SSRF)
Process spawn access (run commands)
Environment variable access (API keys)
Not a single MCP marketplace audits for security. One researcher found 3 of 8,764 servers leaked credentials under basic testing.
Related MCP server: MCPAmpel
Features
Scan any PyPI package for secrets, dangerous patterns, and prompt injection vectors
Scan any GitHub repo or source URL for security issues
Compare packages side-by-side by security score
Trust Score (0-10) β automated, reproducible security rating
Deep code analysis across all Python files in a package
Quick Start
Install
pip install "mcp[cli]"
git clone https://github.com/YOUR_USERNAME/mcp-trust-layer.git
cd mcp-trust-layerRun (stdio)
python -m mcp run server.py --transport stdioRun (HTTP)
python server.py
# Server starts on http://127.0.0.1:8000
# Connect any MCP client to http://localhost:8000/mcpAdd to Claude Code
claude mcp add --transport http mcp-trust http://localhost:8000/mcpThen ask:
"Scan the PyPI package 'flask' for security issues"
"Compare the security scores of 'requests' and 'httpx'"
"Scan github.com/owner/repo for vulnerabilities"
Tools
Tool | Description |
| Deep scan of a PyPI package. Downloads source, analyzes all Python files for secrets, dangerous patterns, and prompt injection vectors. Returns trust score + findings. |
| Scan code from a GitHub repo or direct archive URL. |
| Compare multiple packages by security score side by side. |
Resources
URI | Description |
| JSON schema for security reports |
Architecture
βββββββββββββββ ββββββββββββββββ βββββββββββββββ
β MCP Client ββββββΆβ Trust ScannerββββββΆβ PyPI / GH β
β (Claude/Copilot)β β MCP Server β β API β
βββββββββββββββ ββββββββββββββββ βββββββββββββββ
β
βΌ
ββββββββββββββββ
β Trust Score β
β + Findings β
ββββββββββββββββSecurity Checks
The scanner detects:
Secrets: API keys, tokens, passwords, private keys, connection strings
Dangerous patterns: eval(), exec(), subprocess, file writes, network access
Supply chain risks: dangerous imports, pickle deserialization, dynamic imports
Prompt injection vectors: system prompt references, injection patterns
Roadmap
PyPI package scanning
GitHub repo scanning
Security score (0-10)
Live MCP server endpoint monitoring
Continuous integration webhook alerts
Enterprise compliance reports (SOC2, HIPAA)
MCP marketplace integration API
Marketplaces
This server is listed on:
mcp.so β Largest MCP directory
Smithery β CLI-first MCP installer
PulseMCP β Community MCP index
Glama β Quality-scored MCP directory
License
MIT
This server cannot be deployed
Maintenance
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