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Post-transaction outcome verification for agents using LLM-as-judge scoring.
Do not connect
The assessed surface is high-risk. Remediate the findings before connecting.
Scanned 26 days ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The harvey-verify MCP server exposes 5 tools, focused primarily on developer capabilities. Its published description reads: "Post-transaction outcome verification for agents using LLM-as-judge scoring". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates harvey-verify D — the assessed surface is high-risk and should be remediated before use. Its most notable findings include "Data-exfiltration parameters" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check harvey-verify's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add harvey-verify to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://verify.rugslayer.com/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
List all available Harvey Verify tools with pricing and input requirements. Use this for discovery.
Check Harvey Verify server status, uptime, and payment network configuration.
Post-transaction verification using LLM-as-judge. Checks if a service delivered what was promised. Returns completeness score, accuracy score, format compliance, SLA adherence, issues list, and overal
Get aggregated quality scores for a service based on all past verifications. Returns average completeness, accuracy, pass rate, format compliance rate, SLA compliance rate, and quality trend.
Record a simple pass/fail outcome report for a service call. No LLM analysis - just logs the result to the quality database. Cheaper alternative to verify_outcome when you only need to record success/
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: report_outcome
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "notes"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: report_outcome
A tool description tries to alter the model’s use of another tool.
alternative to verify_outcome when you only need to record success/failure.RecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
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