Koskamo

Agenticfeed MCP

Provides an MCP server that allows AI agents to resolve merchant domains, fetch live product details including price and availability, and map user intent to specific products via structured JSON feeds.

Endpoint and access

No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.

Agenticfeed MCP logo, by Bluestratus Ltd.Community listingStreamable HTTPNo sign-inEndpoint checked 2026-11-07Published by Bluestratus Ltd.
MCP endpoint (Streamable HTTP)
https://agenticfeed.ai/mcp
Vendor documentation

What its tools do

4 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.

Not annotated (4)

4 of 4 have a description · 0 of 4 declare behavior hints · 4 of 4 with parameters document them all

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Resolve a store's website domain to its Agenticfeed merchant_id
  • Fetch full product detail including price, availability, and images
  • Match user intent to products via questions, problems, and use cases

Source and maintenance

Community listingRegistry 0.2.0
mcp-registry: io.github.bluestratus/agenticfeed@0.2.0Source repositoryProject website
Maintenance checked

Protocol and capabilities

Server
agenticfeed-mcp 0.2.0
MCP protocol negotiated in check
2025-11-25
Tools
4 advertised
Resources
Not advertised
Resource templates
Not advertised
Prompts
Not advertised
Server-advertised capabilities
{
  "tools": {
    "listChanged": false
  }
}

Server-provided instructions

Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.

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).

Tools

4 advertised

find_merchant
Advertised by the server during the last successful anonymous check.

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.

find_merchant input schema
{
  "type": "object",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "Merchant website domain or URL, e.g. \"boardgameextras.co.uk\"."
    }
  },
  "additionalProperties": false
}
get_product
Advertised by the server during the last successful anonymous check.

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.

get_product input schema
{
  "type": "object",
  "required": [
    "merchant",
    "product_id"
  ],
  "properties": {
    "merchant": {
      "type": "string",
      "description": "Agenticfeed merchant ID (customer GUID), e.g. \"a9a8378c94\"."
    },
    "product_id": {
      "type": "string",
      "description": "Product ID (product GUID) within that merchant's catalog."
    }
  },
  "additionalProperties": false
}
list_products
Advertised by the server during the last successful anonymous check.

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.

list_products input schema
{
  "type": "object",
  "required": [
    "merchant"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "description": "Max products to return (default 50, max 200)."
    },
    "merchant": {
      "type": "string",
      "description": "Agenticfeed merchant ID (customer GUID), e.g. \"a9a8378c94\"."
    }
  },
  "additionalProperties": false
}
search_products
Advertised by the server during the last successful anonymous check.

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 (questions, problems, use cases). Call find_merchant first to get the merchant ID.

search_products input schema
{
  "type": "object",
  "required": [
    "merchant",
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "description": "Max results to return (default 5, max 10)."
    },
    "query": {
      "type": "string",
      "description": "The shopper's need, in natural language."
    },
    "merchant": {
      "type": "string",
      "description": "Agenticfeed merchant ID (customer GUID)."
    }
  },
  "additionalProperties": false
}

Prompts

Not advertised

No prompt definitions available.

Resources

Not advertised

No resource definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
241 ms
95th percentile latency
241 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 241 ms · metadata changed · 4 tool(s)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http agenticfeed-mcp https://agenticfeed.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add agenticfeed-mcp --url https://agenticfeed.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable agenticfeed-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "agenticfeed-mcp": {
      "url": "https://agenticfeed.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "agenticfeed-mcp": {
      "type": "streamableHttp",
      "url": "https://agenticfeed.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start agenticfeed-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "agenticfeed-mcp": {
      "type": "http",
      "url": "https://agenticfeed.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http agenticfeed-mcp https://agenticfeed.ai/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://agenticfeed.ai/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "agenticfeed-mcp": {
      "serverUrl": "https://agenticfeed.ai/mcp"
    }
  }
}

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