awesome-mcp-security
awesome-mcp-security is a curated registry/listing of MCP servers along with a daily-updated “Trust Score” intended to help AI agents assess the safety of using particular MCP servers (i.e., attack-surface/prompt-injection/tool-poisoning risk), not the underlying code quality of those servers.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
This repository content does not describe a service/API with transport/security controls; it primarily publishes curated security scoring information. As such, security scores here mostly reflect that there is no directly assessable authentication/transport/secret-handling surface in the provided material.
⚡ Reliability
Best When
You need a practical starting point to prioritize which MCP servers to integrate, and you will still enforce agent safety controls (sandbox, allowlists, strict permissions).
Avoid When
You require authoritative or auditable security assurance for a specific MCP server release; this repo provides aggregated scores/curation rather than verifiable per-deployment security guarantees.
Use Cases
- • Selecting safer MCP servers for automated AI agent workflows
- • Filtering MCP tool integrations by trust/attack-surface risk
- • Guidance for adding guardrails/sandboxing around higher-risk MCP servers
Not For
- • Security testing a specific MCP server implementation in your environment
- • Replacing runtime defenses (sandboxing, least privilege, output filtering)
- • Guaranteeing safety of any specific MCP server without independent verification
Interface
Authentication
No authentication interface described; this appears to be a registry/readme-driven listing rather than an API service.
Pricing
No pricing details provided in the provided content.
Agent Metadata
Known Gotchas
- ⚠ Scores are intended as agent attack-surface guidance, not a guarantee of safety or correctness of the MCP server itself.
- ⚠ A daily-updated registry can lag behind new MCP server changes; reassess for the exact version/commit you deploy.
- ⚠ Trust scores can be impacted by how tools are used in an agent’s prompt/planning loop; runtime controls remain necessary.
Alternatives
Full Evaluation Report
Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for awesome-mcp-security.
AI-powered analysis · PDF + markdown · Delivered within 30 minutes
Package Brief
Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.
Delivered within 10 minutes
Score Monitoring
Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.
Continuous monitoring
Scores are editorial opinions as of 2026-03-30.