Integrate Volerion CVE Intelligence - #10
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…en test assertion
Implement get_volerion_scores MCP tool with _format_volerion_scores helper, sorting and filtering CVE risk scores across 8 Volerion dimensions by profile. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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May 28, 2026 20:05
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MR: Integrate Volerion CVE Intelligence
Adds three Model Context Protocol (MCP) tools backing the Volerion vulnerability intelligence API:
get_volerion_intel,get_volerion_scores, andlookup_volerion_product.These tools are optional and degrade gracefully when
VOLERION_API_KEYis not set.Why Volerion?
Volerion provides proprietary, commercial CVE intelligence. We are adding it to complement static database aggregates (NVD, EPSS, CISA KEV) with:
Technical Summary
/v1/cve/intel,/v1/cve/intel/scores, and/v1/productsviasrc/cve_mcp/api/volerion_client.py.VolerionProductPydantic model and output formatting inserver.pyto properly map the actual API keys (title,state,versions) instead of discarding them.TokenBucketRateLimiter(default: 2 req/s, burst 5), decoupled from NVD.volerion:intel(12h TTL)volerion:score(1h TTL, unfiltered only)volerion:products(24h TTL)extra="ignore"to maintain resiliency against schema additions.Quick Start & Verification
1. Run Offline Tests
uv run pytest tests/test_tools.py -k "volerion"2. Configure Environment
Set the pre-encoded Base64
user:passstring in.env:3. Run Server
Tool Examples & Outputs
1.
get_volerion_scoresArguments:
{ "cve_ids": "CVE-2026-44902", "profile": "risk" }Output:
2.
get_volerion_intelArguments:
{ "cve_ids": "CVE-2026-44902" }Output:
3.
lookup_volerion_productArguments:
{ "vendor": "apache", "product": "log4j", "limit": 1 }Output: