Summary
Hooks Claude or Cursor directly into the AgentStorefront marketplace so your AI can discover and price third-party agent services without leaving the conversation. Exposes four tools: list_services for browsing by category, search_services for semantic queries like "find me a flight delay API," get_service for full schema and SLA details, and request_quote for estimating monthly costs at a given call volume. Useful when you're building agents that need to discover and evaluate paid APIs on the fly, like invoice OCR or data enrichment services, instead of hardcoding integrations. The flywheel idea is clever: marketplace listings become native vocabulary inside the tools developers already live in.
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one prompt install →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.
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
| Tool | Purpose |
|---|---|
list_services | List available services, filtered by category |
search_services | Semantic search: "find me a flight-delay API" |
get_service | Full schema + pricing + SLA for a specific service |
request_quote | Get expected monthly cost for an estimated call volume |
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
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.
Configuration
| Env var | Default | Purpose |
|---|---|---|
AGENTSTOREFRONT_API_URL | https://api.agentstorefront.app | Override API endpoint (self-hosting / staging) |
Source
GitHub: https://github.com/lmaniraruta/agentstorefront-mcp Issues: https://github.com/lmaniraruta/agentstorefront-mcp/issues
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
License
MIT © 2026 Fidele Maniraruta
Built in public. Real numbers posted on X @lmaniraruta.
Featured
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Categories
Registryactive
Package@lfidele/agentstorefront-mcp
TransportSTDIO
UpdatedMay 26, 2026
