netintel-mcp
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TDQS
Scored across 127 tools
Massive overlap across tool families: ~15 near-identical OpenAI model wrappers (netintel_openai, netintel_openai_gpt_4_1, ..._mini, ..._nano, ..._5_x), four translate variants, and several near-duplicate domain/IP/SSL report tools (netintel_domain_report vs netintel_domain_report_full vs netintel_domain vs netintel_domain_vet). Descriptions cross-reference each other helpfully, but boundaries are genuinely fuzzy in many places.
Consistent netintel_ prefix and mostly snake_case, but the verb/noun ordering is mixed (netintel_ip_geo vs netintel_text_summarize vs netintel_domain_report). Singular/plural and version drift also appear (netintel_prediction_market vs netintel_prediction_markets; netintel_embeddings vs netintel_v1_embeddings; netintel_openai vs netintel_openai_gpt_4_1).
127 tools is an extreme over-scoping for any single server, far past the 50+ threshold. Many are redundant model/endpoint variants that would be better served by a parameterized model argument rather than distinct tools.
Coverage is very broad — IP, domain, DNS, SSL, email, text/data extraction, finance, crypto, weather, search, and even a routing subsystem — with individual, batch, and aggregate-report tiers. Gaps are hard to find; the issue is redundancy rather than missing operations.