Individual skill
mcp-implementation-security-review
Review the implementation source code of MCP (Model Context Protocol) servers, clients, and tool handlers against a security baseline — authentication, sessions, rate limiting, input-schema validation, official-SDK usage, RCE vectors, and the OWASP MCP Top 10 — producing a report with file/line evidence. Use this skill when: - Reviewing an MCP server implementation for security before release - Checking a server against the baseline controls (MCP-01 to MCP-05) and the OWASP MCP Top 10 - Auditing tools for RCE vectors (command/code injection, unsafe deserialization, path traversal, SSTI, dependency hijacking, SSRF) - Verifying auth, session, rate-limiting, and input-validation controls on a network-exposed server - Reviewing MCP client code that handles untrusted server responses and session IDs - Requests like "review this MCP server for security" or "is my MCP server implementation secure?"
skills/mcp-implementation-security-review/SKILL.md
Source commit edbecfa9099c4addae1f500cca1ac067204b30fd
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 4, 2026
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Repository context
- Repository stars (not skill ratings)
- 40,895
- Repository last updated
- Nov 6, 2026
- License
- MIT
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# MCP Implementation Security Review
## Process
### Step 1 — Classify the target
- Check **MCP protocol version [2025-03-26](https://modelcontextprotocol.io/specification/2025-03-26) or later** (current: [2025-11-25](https://modelcontextprotocol.io/specification/2025-11-25)). Flag older versions as a finding but continue the review.
- Determine whether the target is a **server** or **client**.
- Classify transport as **network-exposed** or **local-only** using the transport reference below.
- Record transport, protocol version, and whether sessions exist.
**Completion criterion:** Target type, protocol status, and transport are identified.
### Step 2 — Filter false positives
- Apply the **False Positive Filters** before opening findings.