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io.github.nexus-mcp-infra/similarity-search-api-sdk

io.github.nexus-mcp-infra/similarity-search-api-sdk · v1.0.0

Stateless NMI + cosine fusion with entropy-driven alpha calibration

MCPremoteno credentialsAI & LLM

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 79/100

What it does: 3 tools · 0 read, 0 write · Finance, AI & LLM, Databases

No tool could be tested safely. Only read-only tools that need no input are called.

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +6
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: 0
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://similarity-search-api-production.up.railway.app/mcp

Tools

3 tools listed at last check
  • nexus_similarity_search_api_rank_items_by_nmi_cosine_fusion Ranks a corpus of items against a query vector using a calibrated fusion score (alpha * cosine + (1-alpha) * NMI_normalizado), where alpha is auto-derived from the corpus's marginal entropy unless overridden. Results are identified by their 0-indexed position in corpus_vectors (this tool does not ac
  • nexus_similarity_search_api_estimate_corpus_entropy_profile Computes the aggregate entropy-calibrated alpha for a corpus without running a full search -- useful to inspect before committing to a large rank_items_by_nmi_cosine_fusion call. Returns a single aggregate corpus_entropy value, NOT a per-dimension breakdown -- the real logic only exposes the mean ma
  • nexus_similarity_search_api_score_pair_nmi_cosine Computes the NMI-cosine fusion score for exactly one (query, target) vector pair at a fixed alpha. Use for explainability, debugging, or unit-level validation of fusion scores before running full corpus ranking. Unlike corpus-level ranking, alpha is NOT auto-calibrated for a single pair -- the real

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