Name: Graphistry Graph Visualization Server
Author: graphistry

Question 1

What is Graphistry MCP Server?

Accepted Answer

Graphistry MCP Server integrates Graphistry's GPU-accelerated graph visualization with the Model Control Protocol (MCP), allowing Large Language Models (LLMs) to perform advanced graph analytics.

Question 2

Why would I use Graphistry MCP Server?

Accepted Answer

It enables LLMs to visualize and analyze complex network data, discover hidden patterns, and make more informed decisions. This is useful for cybersecurity, fraud detection, social network analysis, and more.

Question 3

Do I need a Graphistry account to use this?

Accepted Answer

Yes, a free Graphistry account is required to use the visualization features. Sign up at hub.graphistry.com.

Question 4

What data formats are supported?

Accepted Answer

The server supports various data formats including Pandas DataFrames, NetworkX graphs, and edge lists.

Question 5

What is the Model Control Protocol (MCP)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs, enabling AI models to access and interact with external data sources and tools.

Question 6

How do I install Graphistry MCP Server?

Accepted Answer

Clone the repository, set up a virtual environment, install dependencies using pip, and configure your Graphistry credentials.

Question 7

How do I configure my Graphistry credentials?

Accepted Answer

Set your `GRAPHISTRY_USERNAME` and `GRAPHISTRY_PASSWORD` as environment variables or in a `.env` file.

Question 8

What is the `.mcp.json` file for?

Accepted Answer

The `.mcp.json` file configures the MCP server, setting paths, credentials, and communication modes (HTTP or stdio).

Question 9

How do I start the server?

Accepted Answer

Activate your virtual environment and use the `run_graphistry_mcp.py` script or the `start-graphistry-mcp.sh` script.

Question 10

How do I add the server to Cursor or other LLM tools?

Accepted Answer

Add the MCP server configuration to your LLM's configuration file (e.g., `.cursor/mcp.json`), ensuring the virtual environment is used.

Question 11

What MCP tools are available?

Accepted Answer

Available tools include `visualize_graph`, `get_graph_ids`, `get_graph_info`, `apply_layout`, `detect_patterns`, and various encoding and layout tools.

Question 12

Can I use this with UBOS?

Accepted Answer

Yes, Graphistry MCP Server integrates seamlessly with UBOS, enhancing AI agent capabilities with graph visualization and analytics.

Question 13

Where can I find more information?

Accepted Answer

Visit the Graphistry website at https://ubos.tech for detailed documentation, tutorials, and community support.

Graphistry Graph Visualization Server

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