entire-vc/evc-spark-mcp
by Various
MCP server for the Spark workflow catalog. Use with Claude, ChatGPT, and other MCP clients
MCP
entire-vc/evc-spark-mcp
Added 1 June 2026
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_assetsget_assetget_asset_contentlist_popularlist_categoriesSPARK_API_URLSPARK_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)
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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