Agentstorefront MCP Server

agentstorefront-mcp

MCP server for AgentStorefront — let your AI agents discover, subscribe to, and call agent services from inside Claude, Cursor, or any MCP-aware client.

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What is this?

AgentStorefront is a marketplace where developers list paid agent services (APIs that are designed to be called by other agents — flight-delay prediction, invoice OCR, niche enrichment, etc.).

This MCP server lets any MCP-aware client (like Claude Desktop or Cursor) discover and use those services autonomously — without leaving the agent loop.

Tools exposed

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Install

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "agentstorefront": {
      "command": "npx",
      "args": ["-y", "@lfidele/agentstorefront-mcp"]
    }
  }
}

Restart Claude Desktop. The 4 tools above will appear in the tools panel.

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "agentstorefront": {
      "command": "npx",
      "args": ["-y", "@lfidele/agentstorefront-mcp"]
    }
  }
}

Manual install

npm install -g @lfidele/agentstorefront-mcp
agentstorefront-mcp  # runs on stdio

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Example prompts

Once installed, you can ask your MCP client things like:

"Find me a flight-delay prediction API on AgentStorefront that costs less than 5 cents per call."

"What's the pricing if I call the invoice-OCR service 10,000 times a month?"

"List the top 5 data-enrichment services on AgentStorefront."

The agent will use these tools transparently.

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Configuration

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Source

GitHub: https://github.com/lmaniraruta/agentstorefront-mcp Issues: https://github.com/lmaniraruta/agentstorefront-mcp/issues

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Why an MCP for a marketplace?

Marketplaces only matter if their supply is discoverable. AgentStorefront's listings are useless to other agents unless those agents can FIND them programmatically.

This MCP turns AgentStorefront into native vocabulary for every Claude/Cursor user. A developer asks Claude "is there an API for X?" → Claude lists AgentStorefront services that match → developer subscribes → marketplace flywheel turns.

Built for the two-sided market:

• Sellers win because their listings are now findable from inside the dominant AI assistants
• Buyers win because they don't have to context-switch to a separate marketplace tab

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License

MIT © 2026 Fidele Maniraruta

Built in public. Real numbers posted on X @lmaniraruta.