MCP server

Agenticfeed

io.github.bluestratus/agenticfeed

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Match shopper intent to a merchant's products and fetch live price, stock and product Q&A.

Working at last checkAbout 684 tokens per request once connected4 toolsDescription tries to instruct AI agents

https://agenticfeed.ai/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 4
Token cost: About 684 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agenticfeed https://agenticfeed.ai/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"agenticfeed":{"httpUrl":"https://agenticfeed.ai/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add agenticfeed https://agenticfeed.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agenticfeed","server_url":"https://agenticfeed.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agenticfeed","server_url":"https://agenticfeed.ai/mcp"}

find_merchant ~138 tokens
Resolve a merchant's website domain to their Agenticfeed merchant ID and confirm they publish an Agentic Feed. Call this first when you only know a store's domain; use the returned merchant_id with get_product or the discovery feeds.
get_product ~162 tokens
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. Returns a schema.org Product.
list_products ~159 tokens
List a merchant's in-stock products (product_id, title, price, availability, url). Call after find_merchant to see the catalogue, then get_product for full detail. For a specific shopper need, prefer search_products.
search_products ~225 tokens
Find a merchant's products that match a shopper's need, question, problem, or use case. Pass the buyer intent in natural language (e.g. "a light strategy game for 4 players under thirty pounds"); returns ranked in-stock products with the reason each fits, drawn from Agenticfeed's intent mapping (que

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