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dna-ml-similarity

station__dna-ml__dna-ml-similarity external (needs EXECUTION_BACKEND_URL) dna-ml non-pv Constructa Configa

Compute DNA similarity between two PV feature vectors. Encodes both as DNA strands, then computes Hamming distance, GC content divergence, and longest common subsequence ratio.

Taxonomy

Linnaean classification joined from the algovigilance taxonomy index via the parent config's rank.

Rank	Value
domain	`Substrata`
kingdom	`Constructa`
phylum	`Configa`
class	`station-config`
order	`dna`
family	`mcp-tool-config`

Characteristics:

substrate: config
domain: pv
lifecycle: continuous
authority: read
compounding: producer
io: agent-request → tool-response

Input schema

features_a arrayrequired — First feature vector.
features_b arrayrequired — Second feature vector.
maxs array
mins array

Example call

POST /api/mcp
Content-Type: application/json

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__dna-ml__dna-ml-similarity",
    "arguments": {
      "features_a": [],
      "features_b": []
    }
  }
}

How to invoke from a client

From any MCP-aware client, add https://algovigilance.com/api/mcp as an MCP server, then call this tool by name. From a raw HTTP client, send the JSON-RPC body above to /api/mcp.

Agent-friendly formats

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