Similarity Search API SDK
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Connector by nexus-mcp-infra · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install connector/nexus-mcp-infra-similarity-search-api-sdk
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Remote endpoint
https://similarity-search-api-production.up.railway.app/mcpRemote (HTTP)
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About
Reviews
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 3 read · 0 write · 0 deleteRead-only
- Secrets
- None asked for
- Install scripts
- Nothing to install (hosted)
- Runs as
- Hosted (remote endpoint)
Tools by what they do 3
From the running server's own tool list (tools/list) on Oct 25, 2026.
Read 3 · Look things up without changing anything.
nexus_similarity_search_api_estimate_corpus_entropy_profilenexus_similarity_search_api_rank_items_by_nmi_cosine_fusionnexus_similarity_search_api_score_pair_nmi_cosine
Network hosts it talks to 1
similarity-search-api-production.up.railway.app· found in remote endpoint, install command
Tools (3)
As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].
nexus_similarity_search_api_estimate_corpus_entropy_profileComputes 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 marginal entropy across dimensions, not H(X_d) per individual dimension. Do NOT use expecting per-dimension granularity. Requires an x402 payment.
nexus_similarity_search_api_rank_items_by_nmi_cosine_fusionRanks 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 accept explicit item IDs). Use this when you need semantically-calibrated similarity over a stateless corpus of up to 500k items without a vector database. Do NOT use for purely geometric nearest-neighbor search where NMI overhead is unnecessary, nor for corpora larger than 500k items per call. Requir…
nexus_similarity_search_api_score_pair_nmi_cosineComputes 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 logic requires a fixed alpha (default 0.5); pass alpha explicitly for a specific blend. Do NOT use in a loop to score many pairs; batch them into rank_items_by_nmi_cosine_fusion instead. Requires an x402 payment.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit
- Sep 1, 2026 (2 months ago)
- Last release
- Jul 17, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.nexus-mcp-infra/similarity-search-api-sdk- Version
- 1.0.0
- Auth
- Auth not stated
- License
- License unknown
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Cite this page
Similarity Search API SDK MCP server. Agent Mart. https://agentmart.dev/connectors/nexus-mcp-infra-similarity-search-api-sdk (last updated 2026-10-24)