https://canairecommendmybusiness.com/api/mcp ↗
Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your
AI Recommendation Readiness Audit | The Black Friday Agency is a remote MCP server published at canairecommendmybusiness.com. It has been probed 9 times since 9/12/2026. It answered in 9 of them (100.0%), a near-uninterrupted record. Median response time is 691 ms, a delay an agent will notice. It offers a narrow, focused set of 2 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
assess_ai_recommendation_readiness — Description ends abruptly with 'pha' (likely a typo).get_ai_readiness_framework — Description is incomplete, ending with 'how the ' (missing conclusion).Risk: low
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
assess_ai_recommendation_readinessAssesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems, based on structured inputs (business size, data availability/maturity, technical stack/infrastructure, and goals). Returns a readiness score, tier, gap analysis, priority actions, and a phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.
businessSizestringrequireddataMaturitystringrequiredtechnicalStackstringrequiredgoalsarraybusinessNamestringindustrystringget_ai_readiness_frameworkReturns the AI Recommendation Readiness scoring framework: the scored dimensions and their weights, the four readiness tiers with score ranges, and every valid input option (business sizes, data maturity levels, technical stacks, and goals). Read-only and deterministic; use it to understand how the assessment is scored and to build valid inputs for assess_ai_recommendation_readiness.
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
[](https://mcpmetrics.io/servers/io-github-janoliverautomation-stack-canairecommendmybusiness-com)<a href="https://mcpmetrics.io/servers/io-github-janoliverautomation-stack-canairecommendmybusiness-com"><img src="https://mcpmetrics.io/badge/io.github.janoliverautomation-stack/canairecommendmybusiness-com/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
Probe a signup URL you own and score whether an AI agent can sign up unaided.
Scan website AI readiness, understand the result and route customers to the right SYA package.
Checks llms.txt, AI crawler access in robots.txt, and sitemap - with a 0-100 AI readiness score.
Manage your Pollen account: sync, enrich, fix, and publish your store's catalog for AI agents.
# CallSync MCP Server: Connect SIM-Based Call Logs to AI Agents 📞🤖 **[CallSync](https://callsyncapp.com)** is a powerful mobile-first sales CRM and call tracking ecosystem built for modern sales teams. This Model Context Protocol (MCP) server allows AI agents (like Claude Desktop, Cursor, and Windsurf) to securely query call data, manage contacts, and trigger voice-to-text analysis directly from your chat sidebar. --- ## 💡 Why CallSync? Traditional VOIP services fail when sales representatives make real phone calls from their mobile SIMs. CallSync solves this: * **SIM-Based Capture:** Syncs outgoing and incoming mobile call logs, metadata, and audio recordings automatically from our Android App. * **Instant AI Processing:** Automated call transcription, summarization, sentiment classification, and target-intent analysis. * **Unified Sales CRM:** A mobile-friendly dashboard to manage leads, tasks, and follow-ups. --- ## ⚙️ Available AI Tools & Actions Once connected, your AI
Assess your nonprofit's grant readiness with The Grant Readiness Checklist by the Nonprofit Lau
| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 08:43:04 | Legacy | 200 | 692 | 200 | 664 | 2025-06-18 |
| 2026-09-13 06:40:42 | Legacy | 200 | 633 | 200 | 723 | 2025-06-18 |
| 2026-09-13 04:35:29 | Legacy | 200 | 691 | 200 | 680 | 2025-06-18 |
| 2026-09-13 01:33:33 | Legacy | 200 | 734 | 200 | 707 | 2025-06-18 |
| 2026-09-12 23:31:36 | Legacy | 200 | 660 | 200 | 646 | 2025-06-18 |
| 2026-09-12 21:29:15 | Legacy | 200 | 761 | 200 | 714 | 2025-06-18 |
| 2026-09-12 19:27:29 | Legacy | 200 | 651 | 200 | 650 | 2025-06-18 |
| 2026-09-12 17:24:09 | Legacy | 200 | 698 | 200 | 702 | 2025-06-18 |
| 2026-09-12 15:21:42 | Legacy | 200 | 689 | 200 | 666 | 2025-06-18 |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
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