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io.github.bluestratus/agenticfeed

REMOTE · AGENTICFEED.AI · SCANNED AUG 3

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

Available components

+1 this week 63 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security46
Transport & Reachability100
Schema Quality & AI Usability80
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 499 tokens (~124/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · agenticfeed.ai

# add to Claude Code
claude mcp add --transport http bluestratus-agenticfeed https://agenticfeed.ai/mcp
# ~/.codex/config.toml
[mcp_servers.bluestratus-agenticfeed]
url = "https://agenticfeed.ai/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "bluestratus-agenticfeed": {
      "type": "remote",
      "url": "https://agenticfeed.ai/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add bluestratus-agenticfeed --url https://agenticfeed.ai/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  bluestratus-agenticfeed:
    url: "https://agenticfeed.ai/mcp"
// mcp.json
{
  "mcpServers": {
    "bluestratus-agenticfeed": {
      "type": "http",
      "url": "https://agenticfeed.ai/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 2 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 −2
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 62

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://agenticfeed.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=agenticfeed.ai CN=WE1,O=Google Trust Services,C=US 22 Jun 2026 20 Sept 2026 ECDSA 256 ECDSA-SHA256 855f95e956482e860eceb21bc78e5502
SANs: agenticfeed.ai, *.agenticfeed.ai
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b
DNSSEC insecure

Validation of agenticfeed.ai. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
agenticfeed.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://agenticfeed.ai/mcp Verified 200
http (plaintext) http://agenticfeed.ai/mcp Inconclusive 405
MCP tools — 4 exposed · ~415 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
find_merchant ~78

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.

NameTypeReqDescription
domainstringyesMerchant website domain or URL, e.g. "boardgameextras.co.uk".

No output schema declared.

No examples provided.

get_product ~98

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.

NameTypeReqDescription
merchantstringyesAgenticfeed merchant ID (customer GUID), e.g. "a9a8378c94".
product_idstringyesProduct ID (product GUID) within that merchant's catalog.

No output schema declared.

No examples provided.

list_products ~100

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.

NameTypeReqDescription
limitintegerMax products to return (default 50, max 200).
merchantstringyesAgenticfeed merchant ID (customer GUID), e.g. "a9a8378c94".

No output schema declared.

No examples provided.

search_products ~139

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.

NameTypeReqDescription
limitintegerMax results to return (default 5, max 10).
merchantstringyesAgenticfeed merchant ID (customer GUID).
querystringyesThe shopper's need, in natural language.

No output schema declared.

No examples provided.