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entire-vc/evc-spark-mcp

by Various

MCP server for the Spark workflow catalog. Use with Claude, ChatGPT, and other MCP clients

E

MCP

entire-vc/evc-spark-mcp

Added 1 June 2026

#agent-catalog #ai-tools #chatgpt #claude #entire-vc #mcp #model-context-protocol #npm

Overview

MCP server for the Spark workflow catalog, enabling AI assistants like Claude and ChatGPT to interact with workflows via the Model Context Protocol. It is built in JavaScript and connects to Spark workflow data for query and management tasks.

Best for

Best for
Developers using Spark workflow catalogs who want AI assistant integration via MCP

Use cases

  • Querying Spark workflow metadata and logs from AI chat clients
  • Integrating Spark workflows into agentic pipelines with MCP-compatible tools
  • Accessing and managing workflow catalogs through natural language commands

How to use

Install

npx evc-spark-mcp

Tools exposed

  • search_assets
  • get_asset
  • get_asset_content
  • list_popular
  • list_categories
  • SPARK_API_URL
  • SPARK_SITE_URL

Tested with

Claude Desktop, Claude Code, Cursor, ChatGPT

Notes

MCP server for the Spark workflow catalog, enabling AI assistants like Claude and ChatGPT to interact with workflows via the Model Context Protocol. It is built in JavaScript and connects to Spark workflow data for query and management tasks.

4 stars on GitHub. Last updated 2026-05-23. Licensed MIT.

Use cases

  • Querying Spark workflow metadata and logs from AI chat clients
  • Integrating Spark workflows into agentic pipelines with MCP-compatible tools
  • Accessing and managing workflow catalogs through natural language commands

Pros

  • Works with multiple MCP clients (Claude, ChatGPT, others)
  • Simple Node.js setup with clear protocol integration
  • Provides direct access to Spark workflow catalog data

Cons

  • Requires a pre-existing Spark workflow catalog environment
  • Limited to MCP protocol clients only, reducing broader tool compatibility
  • Small community and limited maintenance activity (4-star rating)

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works with multiple MCP clients (Claude, ChatGPT, others)
  • Simple Node.js setup with clear protocol integration
  • Provides direct access to Spark workflow catalog data

Cons

  • Requires a pre-existing Spark workflow catalog environment
  • Limited to MCP protocol clients only, reducing broader tool compatibility
  • Small community and limited maintenance activity (4-star rating)
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