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Graphistry MCP

graphistry/graphistry-mcp

This project integrates Graphistry's powerful GPU-accelerated graph visualization platform with the Model Control Protocol (MCP), enabling advanced graph analytics capabilities for AI assistants and LLMs. It allows LLMs to visualize and analyze complex network data through a standardized, LLM-friendly interface.

Install

npx -y @silkspace/graphistry-mcp

Environment variables

GRAPHISTRY_USERNAMEGRAPHISTRY_PASSWORD
Category
Research & Data, AI Chatbot
License
MIT
Updated
Oct 6, 2026

About Graphistry MCP

GPU-accelerated graph visualization and analytics for Large Language Models using Graphistry and MCP.

Tools (15)

  • visualize_graph

    Visualize a graph or hypergraph using Graphistry's GPU-accelerated renderer.

  • get_graph_info

    Get metadata (node/edge counts, title, description) for a stored graph.

  • apply_layout

    Apply a standard layout (force_directed, radial, circle, grid) to a graph.

  • detect_patterns

    Run network analysis (centrality, community detection, path finding, anomaly detection).

  • encode_point_color

    Set node color encoding by column (categorical or continuous).

  • encode_point_size

    Set node size encoding by column (categorical or continuous).

  • encode_point_icon

    Set node icon encoding by column (categorical, with icon mapping or binning).

  • encode_point_badge

    Set node badge encoding by column (categorical, with icon mapping or binning).

  • apply_ring_categorical_layout

    Arrange nodes in rings by a categorical column (e.g., group/type).

  • apply_group_in_a_box_layout

    Arrange nodes in group-in-a-box layout (requires igraph).

  • apply_modularity_weighted_layout

    Arrange nodes by modularity-weighted layout (requires igraph).

  • apply_ring_continuous_layout

    Arrange nodes in rings by a continuous column (e.g., score).

  • apply_time_ring_layout

    Arrange nodes in rings by a datetime column (e.g., created_at).

  • apply_tree_layout

    Arrange nodes in a tree (layered hierarchical) layout.

  • set_graph_settings

    Set advanced visualization settings (point size, edge influence, etc.).

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

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