Data Collection

agenticfeed.ai

Fetches merchant IDs and detailed product information from Agenticfeed.

1 endpoint4 known toolsFirst detected July 11, 2026Last detected August 29, 2026

ENDPOINT 1

https://agenticfeed.ai/mcp

No auth detected

MCP server metadata

Name: agenticfeed-mcp
Version: 0.2.0

Capabilities

tools

Server instructions

Agenticfeed exposes structured, AI-readable product feeds mapped to buyer intent. Call find_merchant to resolve a store domain to a merchant_id. Then use search_products to match a shopper's need to ranked products (with the reason each fits), list_products to browse the catalogue, and get_product for full detail on one product (price, availability, and the questions/problems/use-cases it maps to).

Known tools 4

find_merchant

Resolve a merchant's website domain to their Agenticfeed merchant ID and confirm they publish an Agentic Feed.

Potential side effects

get_product

Get full detail for a single product by merchant_id and product_id: name, price, currency, availability, image, and the buyer questions, problems, and use cases it maps to.

Inferred read-only

list_products

List a merchant's in-stock products (product_id, title, price, availability, url).

Inferred read-only

search_products

Find a merchant's products that match a shopper's need, question, problem, or use case.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.agenticfeed-mcp]
url = "https://agenticfeed.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "agenticfeed-mcp": {
      "type": "http",
      "url": "https://agenticfeed.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: agenticfeed-mcp
Remote MCP URL: https://agenticfeed.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "agenticfeed-mcp": {
      "url": "https://agenticfeed.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "agenticfeed-mcp": {
      "type": "http",
      "url": "https://agenticfeed.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "agenticfeed-mcp",
  "transport": "streamable-http",
  "url": "https://agenticfeed.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for agenticfeed.ai was fetched 2026-07-27T03:10:54.050Z and is being refreshed.

Trust status Neutral

agenticfeed.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.