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NCBI E-utilities — federated Entrez search/fetch (PubMed/Gene/Nucleotide/…)

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Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-ncbi-eutils
GitHub Stars
0
Server Listing
mcp-ncbi-eutils

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 2 tool updates
    • Addedpolymarket_arbitrage
    • Addedpolymarket_edges
  2. 1 tool update
    • Addedbet_research
  3. 17 tool updates
    • First observedask_pipeworx
    • First observedcompare_entities
    • First observeddiscover_tools
    • First observedefetch
    • First observedegquery
    • First observedeinfo
    • First observedelink
    • First observedentity_profile
    • First observedesearch
    • First observedesummary
    • First observedforget
    • First observedpipeworx_feedback
    • First observedrecall
    • First observedrecent_changes
    • First observedremember
    • First observedresolve_entity
    • First observedvalidate_claim

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TDQS

C2.8/5.0
Disambiguation1/5

The tool set mixes NCBI Entrez utilities with a large suite of Pipeworx data tools, Polymarket betting tools, and memory management tools. Many tools have overlapping purposes (e.g., 'ask_pipeworx', 'entity_profile', 'compare_entities', and 'validate_claim' all handle company data), making it difficult for an agent to select the correct tool. The presence of 'discover_tools' indicates the server itself acknowledges the confusion.

Naming Consistency2/5

Tool names follow no consistent pattern. NCBI tools retain their original names ('esearch', 'efetch'), while others mix styles: verb_noun ('discover_tools', 'resolve_entity'), noun phrases ('entity_profile', 'recent_changes'), and single verbs ('forget', 'recall', 'remember'). The naming conventions are chaotic and unpredictable.

Tool Count3/5

At 20 tools, the count is within a reasonable range but feels excessive given the server's lack of focus. It combines tools from at least three distinct domains (NCBI biology, Pipeworx data analytics, Polymarket betting) plus memory management, which strains coherence. A more focused server with 5-10 tools per domain would be more appropriate.

Completeness2/5

For a server purportedly about NCBI Eutils, it oddly includes many Pipeworx and Polymarket tools while omitting fundamental NCBI operations like database-specific searches or retrieval of full records with standard formats. The Pipeworx tools cover financial and company data well but lack coverage for other domains mentioned in 'ask_pipeworx' (e.g., weather, sports). The overall surface is unbalanced and incomplete relative to any single stated purpose.