Rapid7 Bulk Export MCP Server
OfficialRelated Servers
Alternatives to Rapid7 Bulk Export MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceExports vulnerability and asset data from Rapid7 Command Platform via the Bulk Export API into a local DuckDB database, enabling AI assistants to run natural language queries and SQL analysis with sandboxed security.9MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server for Tenable Vulnerability Management and the Tenable One platform, enabling LLMs to query assets, vulnerabilities, scans, exposure metrics, attack paths, and more via natural language.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to manage Nessus vulnerability scans, analyze results, and generate reports through the MCP protocol.2MIT
- FlicenseAqualityCmaintenanceEnables read-only exploration and querying of PostgreSQL or MySQL databases via MCP, with schema discovery, safe SQL validation, natural language to SQL conversion, and CSV export.111-
- AlicenseAqualityCmaintenanceExposes Tenable security operations as MCP tools for AI-powered security workflows, enabling asset, vulnerability, scan, plugin, and tag management via natural language.17MIT
- AlicenseNot gradedqualityBmaintenanceEnables enterprise AI agents to query governed data lineage, PII-aware schema documentation, and semantic metadata from SQL logs via MCP, with role-based access and vector search.MIT
TDQS
Scored across 9 tools
Each tool maps to a distinct stage or concern: starting exports, checking status, downloading/loading, loading from Parquet, querying, inspecting metadata, listing, and purging. Even the two load-related tools are clearly separated by input source (existing Parquet vs. completed export).
All tool names follow a consistent verb_rapid7_noun pattern in snake_case, e.g., start_rapid7_export, check_rapid7_export_status, get_rapid7_schema, purge_rapid7_data. The naming is uniform and predictable across the entire set.
Nine tools is well-scoped for the export-to-query-to-cleanup lifecycle. Each tool serves a necessary function without redundancy or bloat.
The tool surface covers the full workflow: create export, monitor progress, download/load data, alternate local Parquet ingestion, schema/stats inspection, querying, listing prior exports, and purging data. There are no obvious dead ends or missing lifecycle steps.