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ScoutScore

scoutscore/scout
3 toolsSTDIOregistry active
Summary

You'd reach for this when your AI agent needs to verify trust scores for x402 services before interacting with them. It exposes operations to check trust scores, fidelity ratings, and flag status through the ScoutScore system. Think of it as a reputation layer for AI-to-AI interactions: before your agent calls an external x402 service, it queries ScoutScore to see if that service has a good track record or has been flagged for issues. The source doesn't detail specific API methods, but the core use case is clear: automated trust verification to help agents make safer decisions about which services to rely on.

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Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
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Make your agent a DeFi expert
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CodeRabbit
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Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
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Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
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Tools

Public tool metadata for what this MCP can expose to an agent.

3 tools
brand_lookupLook up brand data from the Optimly AI Brand Directory. Search by slug (exact match), name (fuzzy), or category. Returns brand name, archetype, BAI score/tier, category, sentiment, AI readiness, and more. Unauthenticated callers get a slim response with gated fields; authentic...3 params

Look up brand data from the Optimly AI Brand Directory. Search by slug (exact match), name (fuzzy), or category. Returns brand name, archetype, BAI score/tier, category, sentiment, AI readiness, and more. Unauthenticated callers get a slim response with gated fields; authentic...

Parameters* required
namestring
Brand name to search for (e.g. 'Salesforce'). Fuzzy match.
slugstring
Brand slug for exact match (e.g. 'stripe', 'hal9'). Preferred lookup method.
categorystring
Filter brands by category (e.g. 'Fintech', 'E-commerce Platform')
category_browseBrowse the Optimly AI Brand Directory taxonomy. Use action='list' to see all 40+ categories with brand counts, or action='detail' with a slug to explore a specific category and its top brands. Free tier returns category overview with top 5 brands; authenticate for complete bra...2 params

Browse the Optimly AI Brand Directory taxonomy. Use action='list' to see all 40+ categories with brand counts, or action='detail' with a slug to explore a specific category and its top brands. Free tier returns category overview with top 5 brands; authenticate for complete bra...

Parameters* required
slugstring
Category slug (required for action='detail'). Get valid slugs from action='list'. Example: 'fintech-financial-services', 'saas-cloud-software'
actionstring
'list' to see all categories, 'detail' to explore a specific categoryone of list · detail
discovery_intentTell Optimly Scout what your user is researching — which brands they're comparing, what problem they're solving, what category they're exploring. Use action='start' to get the structured questionnaire, then action='submit' with answers to get matched brands and categories from...8 params

Tell Optimly Scout what your user is researching — which brands they're comparing, what problem they're solving, what category they're exploring. Use action='start' to get the structured questionnaire, then action='submit' with answers to get matched brands and categories from...

Parameters* required
actionstring
'start' to get the intent questionnaire, 'submit' to send answers and get recommendationsone of start · submit
use_casestring
What's the specific use case?
agent_contextstring
What is your agent doing with this information? (e.g., building a comparison, making a recommendation)
buyer_personastring
Who is the buyer or decision-maker?
problem_spacestring
What problem is the user trying to solve?
category_soughtstring
What category or market segment is being explored?
brands_mentionedarray
Which brands has the user mentioned or is comparing?
comparison_criteriaarray
What criteria matter most for this decision?
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CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
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Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
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Registryactive
Package@scoutscore/mcp-server
TransportSTDIO
UpdatedFeb 23, 2026
View on GitHub