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Microgram: graph-ops-graph-analyze

station__algovigilance__microgram-graph-ops-graph-analyze native (always callable) algovigilance pv-core Constructa Configa

Analyze a graph structure.

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	`algovigilance`
family	`mcp-tool-config`

Characteristics:

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

Input schema

analysis stringrequired — Analysis mode: - "centrality": betweenness centrality for all vertices - "components": connected components - "shortest_path": BFS shortest path (requires from_vertex, to_vertex) - "dijkstra": weighted shortest path (requires from_vertex, to_vertex) - "pagerank": iterative PageRank - "communities": Louvain community detection - "scc": strongly connected components - "topo_sort": topological sort (returns None if cycles exist)
damping numberrequired — Input parameter damping.
edges objectrequired — Edge definitions (required).
from_vertex number — Input parameter from_vertex.
max_iterations numberrequired — Input parameter max_iterations.
to_vertex number — Input parameter to_vertex.
tolerance numberrequired — Input parameter tolerance.
vertices objectrequired — Input parameter vertices.

Example call

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

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "station__algovigilance__microgram-graph-ops-graph-analyze",
    "arguments": {
      "analysis": "",
      "damping": 0,
      "edges": {},
      "max_iterations": 0,
      "tolerance": 0,
      "vertices": {}
    }
  }
}

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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