Provides access to the Pythagraph RED API for retrieving and analyzing graph data, including comprehensive graph statistics, node and edge information, and formatted data visualization tables.
pythAIs - Pythagraph RED MCP Server
Node.js server implementing Model Context Protocol (MCP) for Pythagraph RED API access.
Features
Fetch graph data from Pythagraph RED API
Detailed graph analysis with nodes, edges, and statistics
Formatted table outputs for easy visualization
Comprehensive graph summaries
Error handling and timeout management
API Integration
This server connects to the Pythagraph RED API at:
Tools
get_graph_data
Retrieve detailed graph data from Pythagraph RED API. Returns comprehensive information including nodes, edges, statistics, and metadata formatted as tables and descriptions.
Input:
graphId
(string): The unique identifier for the graph to retrieve
Output:
Detailed tables showing graph statistics
Node type distributions
Edge type distributions
First 10 nodes with their properties
First 10 edges with their relationships
Metadata information
Example:
get_graph_summary
Get a concise summary of graph data from Pythagraph RED API. Provides overview statistics, node/edge type distributions, and key insights.
Input:
graphId
(string): The unique identifier for the graph to get summaryincludeDetails
(boolean, optional): Include detailed node and edge information (default: false)
Output:
Quick overview with node and edge counts
Node and edge type listings
Graph density calculation
Optional detailed tables when
includeDetails
is true
Example:
Usage with Claude Desktop
Add this to your claude_desktop_config.json
:
NPX
Docker
Development
Building
Testing
Docker Build
API Response Format
The server expects the Pythagraph RED API to return JSON data in this format:
Error Handling
The server includes comprehensive error handling for:
Invalid graph IDs
Network timeouts (30 second limit)
API response errors
Invalid JSON responses
Connection failures
Features
Automatic Table Formatting: Converts graph data into readable tables
Statistics Calculation: Computes graph density and type distributions
Memory Efficient: Only displays first 10 nodes/edges in detailed view
Flexible Output: Summary mode for quick insights, detailed mode for analysis
Robust Error Handling: Graceful handling of API failures
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License.
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables retrieval and analysis of graph data from the Pythagraph RED API. Provides formatted tables, statistics, node/edge distributions, and comprehensive summaries for graph visualization and insights.
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