A
licenseNot graded
qualityB
maintenanceRAG Knowledge - MCP server providing AI-powered tools and automation by MEOK AI Labs
9 npm
32 PyPI
MIT
recon-fuzz-knowledge
by Recon-Fuzz
Related Servers
Alternatives to recon-fuzz-knowledge
No user-submitted related servers found.
Related Servers
- AlicenseAqualityFmaintenanceMCP for Scorable Evaluation Platform312MIT
- MIT
- FlicenseNot gradedqualityDmaintenanceMCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.48-
- -
- AlicenseBqualityAmaintenanceWraps the recon CLIs security researchers already use (subfinder, httpx, nmap, ffuf, nuclei) into a single MCP server so an LLM agent can plan and execute reconnaissance itself — passive subdomain/DNS/wayback discovery, active port scanning, WAF detection and origin-bypass checks, endpoint fuzzing, and nuclei scans. Structured JSON results carry scan tokens that let the agent chain one step's output into the next without re-typing targets.101MIT
TDQS
A3.7/5.0
Scored across 14 tools
Disambiguation4/5
Most tools have distinct purposes targeting specific content types or actions, but there is some overlap between search_all and the individual search tools (search_book, search_site, search_substack), which could cause confusion about when to use the comprehensive versus specific search. The get_* and list_* tools are clearly differentiated by resource and action.
Naming Consistency5/5
Tool names follow a consistent verb_noun pattern throughout, with clear prefixes like get_, list_, search_, and refresh_. All names use snake_case uniformly, making them predictable and easy to understand for agents.
Tool Count5/5
With 14 tools, the server is well-scoped for its purpose of accessing and searching Recon's documentation and content across multiple sources. Each tool serves a specific function, such as retrieving, listing, or searching different content types, without unnecessary duplication or bloat.
Completeness5/5
The tool surface provides comprehensive coverage for the domain of Recon's knowledge base, including CRUD-like operations (get, list, search) across all documented sources (blog, book, Substack, tools, glossary). There are no obvious gaps; agents can access, list, and search all content types effectively.
Maintenance
ActivityInactive
ResponsivenessNo issues