io.github.nexus-mcp-infra/similarity-search-api-sdk · v1.0.0 · developer-tools
io.github.nexus-mcp-infra/similarity-search-api-sdk is healthy: it completed an MCP handshake in 2329 ms and exposes 3 tools.
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Endpoint: https://similarity-search-api-production.up.railway.app/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 3 |
| Latency | 2329 ms |
| Last checked (UTC) | 2026-10-16T10:55:41.082Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-16T10:55:41.082Z | Healthy | 2329 | |
| 2026-10-15T06:10:43.365Z | Healthy | 3754 |
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 |