5 tools from the Spark - AI Assets Marketplace MCP Server, categorised by risk level.
View the Spark - AI Assets Marketplace policy →get_asset Get full details of a Spark asset by its slug.
Returns description, metadata, ratings, files, and the URL on spark.entire.vc.
Args:
slug: Ass... get_asset_content Get the raw content of a Spark asset (prompt text, skill instructions, agent config).
This counts as a download/acquisition event. For paid assets... list_categories List available categories (domains and AI tags) in the Spark marketplace.
Useful for filtering searches by domain or AI model compatibility. list_popular List the most popular Spark assets by download count.
Args:
type: Filter by asset type (agent, skill, prompt, prompt_chain, mcp_connector, bun... search_assets Search the Spark AI assets marketplace.
Args:
query: Search text (matches title and description)
type: Filter by asset type (agent, skill,... 2/5 The Spark - AI Assets Marketplace MCP server exposes 5 tools across 1 categories: Read.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Spark - AI Assets Marketplace server.
Spark - AI Assets Marketplace tools are categorised as Read (5). Each category has a recommended default policy.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept