mcpgraphtoolkit

Builds, tests and manages mcpGraph tools combining MCP calls, JSONata transforms, and JSON Logic switches.

18|2|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/TeamSparkAI/mcpGraph --skill mcpgraphtoolkit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcpgraphtoolkit
Source: https://github.com/TeamSparkAI/mcpGraph/tree/main/testClaude/.claude/skills/mcpgraphtoolkit
Command: npx skills add https://github.com/TeamSparkAI/mcpGraph --skill mcpgraphtoolkit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds, tests, and manages mcpGraph graph tools using the mcpGraphToolkit, providing a single interface to orchestrate MCP tools, transformations, and routing logic.

Core Features & Use Cases

  • Discover available MCP servers and tools with listMcpServers, listMcpServerTools, and getMcpServerTool to understand inputs/outputs.
  • Construct, test, and deploy graph tools that combine MCP calls, JSONata transforms, and JSON Logic switches.
  • Validate behavior and outputs by running graph tools with runGraphTool and inspecting execution histories.

Quick Start

Use the mcpgraphtoolkit skill to discover MCP servers, assemble a simple graph tool, run a quick test, and save to the graph for reuse.

Frequently Asked Questions about mcpgraphtoolkit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and test declarative graph workflows for MCP servers?

You can build and test declarative graph workflows by using a unified toolkit to orchestrate MCP tool calls, JSONata transformations, and JSON Logic routing. It provides a single interface to assemble, validate, and deploy graph tools.

How do I discover available MCP servers and tools for my graph workflow?

You can discover available MCP servers and tools by listing servers and their tools to understand inputs and outputs. This ensures you correctly map MCP calls before composing your graph tool definitions.

Can I use JSONata and JSON Logic to compose MCP graph tool definitions?

Yes, you can compose MCP graph tool definitions by combining MCP calls with JSONata for data transformations and JSON Logic for conditional routing switches. The toolkit validates these definitions during assembly.

What is the best way to validate graph tool behavior before deployment?

The best way to validate graph tool behavior is by running the graph tool with the toolkit's execution function and inspecting the execution histories. This allows you to verify outputs and debug routing logic before saving tools for reuse.

Do I need any external dependencies to manage the MCP graph tool lifecycle?

No external dependencies are required to manage the MCP graph tool lifecycle. The toolkit handles the entire process from creation to deployment, including tool discovery, composition, testing, and saving for reuse.

Why does my MCP graph tool fail validation during testing?

Graph tool validation may fail due to incorrect MCP server inputs or malformed JSONata and JSON Logic syntax. Inspect the execution history outputs to identify where the transformation or routing logic breaks down during the test run.