How do I install the graphistry mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `GRAPHISTRY_USERNAME`, `GRAPHISTRY_PASSWORD` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Graphistry MCP Server

Graphistry MCP server - GPU-accelerated graph visualization for MCP clients

Local serverstdioPython

What is the Graphistry MCP Server?

Graphistry MCP server - GPU-accelerated graph visualization for MCP clients

What you get

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

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
visualize_graph	Visualize a graph or hypergraph using Graphistry's GPU-accelerated renderer.
get_graph_ids	List all stored graph IDs in the current session.
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).

How to install the Graphistry MCP Server

{
  "mcpServers": {
    "graphistry": {
      "command": "npx",
      "args": ["-y", "@silkspace/graphistry-mcp"],
      "env": {
        "GRAPHISTRY_USERNAME": "your-value",
        "GRAPHISTRY_PASSWORD": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

Variable	Description	Required
GRAPHISTRY_USERNAME	Configuration value read at startup.	Optional
GRAPHISTRY_PASSWORD	Configuration value read at startup.	Optional

Example prompts to try

“Use Graphistry to visualize graph.”
“Use Graphistry to get graph ids.”
“Use Graphistry to get graph info.”

Frequently asked questions

Graphistry MCP server - GPU-accelerated graph visualization for MCP clients Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

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