MCP serverio.github.nexus-mcp-infra/similarity-search-api-sdk

Stateless NMI + cosine fusion with entropy-driven alpha calibration

UNRATEDActivestreamable-httpsimilarity-search-api-production.up.railway.app

Overview

Score?

UNRATED 0.672

of what a free look can see, on 30 looks

Looks

last 16 hr ago

Tools

More info

URL

similarity-search-api-production.up.railway.app/mcp

streamable-http

Says it is

nexus-similarity-search-api 1.28.1

protocol 2025-06-18

In the record since

32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.672 · highest on record 0.8561

Toolsfrom sha256:88887d2926…50d6b4

The tools this server lists, read out of the definition it returned
Tool	Schema
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. R	input · no output
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 margina	input · no output
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 befo	input · no output

Verify it yourselfnpx teppi-check https://similarity-search-api-production.up.railway.app/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2JM9827M71AY6S69GM2V