Nrel
Server Details
NREL MCP — wraps the US National Renewable Energy Laboratory developer API
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-nrel
- GitHub Stars
- 0
- Server Listing
- mcp-nrel
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- Changed
deep_research1 field changed- changed
Input schema / properties / depth / descriptionPrevious value: -"How many facets to research in parallel: quick=3 (single hop), standard=5 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=8 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."New value: +"How many facets to research in parallel: quick=3 (single hop), standard=3 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=6 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."
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Glama MCP Gateway
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TDQS
Multiple tools have overlapping boundaries: ask_pipeworx and ask_pipeworx_beta are exact duplicates in practice, and ask_pipeworx_grounded, deep_research, entity_profile, validate_claim, and bet_research all serve query-driven research with fuzzily separated purposes. The polymarket_* cluster also spreads opportunity discovery, arbitrage, fill-risk, and edge decay across tools that an agent could easily misselect between. Detailed cross-referencing helps, but not enough to remove the clutter.
All names use snake_case and are readable, but the pattern is mixed: verb-first tools like ask_pipeworx and compare_entities coexist with noun-first tools like entity_profile and pipeworx_trending, plus bare-verb tools like forget and recall. The pipeworx_ and polymarket_ prefixes provide some grouping, but there is no uniform verb_noun convention across the set.
31 tools is heavy for the apparent purpose, especially because the set mixes unrelated utilities (generate_llms_txt, scan_dependency, memory trio) with a large prediction-market suite and multiple overlapping query entry points. Many of these could be consolidated into a handful of core data-lookup tools with parameters, and the beta duplicate inflates the count.
The research/data domain is quite thoroughly covered: universal routing, grounded hallucination-resistant answers, claim verification, entity profiles, comparisons, deep multi-source research, and prediction-market analytics are all present. Minor gaps remain—no dedicated tool for fetching a pipeworx:// citation directly, and no way to update/correct the data itself—but these work around via resources and MCP resource/read functionality.