mcp-registry/io.github.janoliverautomation-stack/canairecommendmybusiness-com · v2.0.0
As of 2026-10-26 17:57 UTC, the Janoliverautomation Stack Canairecommendmybusiness Com MCP server is up with a Glimind reliability score of 99/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 7 minutes.
Can AI confidently recommend your business? The AI Recommendation Readiness Audit shows whether your
Point your MCP client at this streamable-http endpoint: https://canairecommendmybusiness.com/api/mcp
2 of 2 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.janoliverautomation-stack%2Fcanairecommendmybusiness-com/fixes
{
"name": "assess_ai_recommendation_readiness",
"description": "Assesses 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.",
"inputSchema": {
"type": "object",
"required": [
"businessSize",
"dataMaturity",
"technicalStack"
],
"properties": {
"goals": {
"type": "array",
"items": {
"enum": [
"ai_visibility",
"lead_generation",
"trust_authority",
"content_coverage",
"conversion_optimization",
"structured_data",
"agent_readiness",
"reputation_management"
],
"type": "string"
},
"default": [
"ai_visibility"
],
"maxItems": 8,
"minItems": 1,
"description": "One or more readiness goals the business wants to prioritize (1–8, unique values from the enum).",
"uniqueItems": true
},
"industry": {
"type": "string",
"description": "Optional industry/category for context."
},
"businessName": {
"type": "string",
"description": "Optional, non-sensitive business name for context."
},
"businessSize": {
"enum": [
"solo",
"micro",
"small",
"midmarket",
"enterprise"
],
"type": "string",
"description": "Size of the business/organization."
},
"dataMaturity": {
"enum": [
"none",
"basic",
"developing",
"structured",
"advanced"
],
"type": "string",
"description": "Availability and maturity of the structured/machine-readable data of the business."
},
"technicalStack": {
"enum": [
"minimal",
"standard",
"modern",
"advanced"
],
"type": "string",
"description": "Technical stack / infrastructure sophistication."
}
}
},
"annotations": {
"readOnlyHint": true
},
"title": "Assess AI Recommendation Readiness"
}{
"name": "get_ai_readiness_framework",
"description": "Returns 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.",
"inputSchema": {
"type": "object",
"properties": {},
"additionalProperties": false
},
"annotations": {
"readOnlyHint": true
},
"title": "Get AI Readiness Framework"
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.janoliverautomation-stack/canairecommendmybusiness-com"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.janoliverautomation-stack/canairecommendmybusiness-com"}) over MCP.
assess_ai_recommendation_readiness ~469 tokensget_ai_readiness_framework ~144 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fio.github.janoliverautomation-stack%2Fcanairecommendmybusiness-com?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.janoliverautomation-stack%2Fcanairecommendmybusiness-com?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.janoliverautomation-stack%2Fcanairecommendmybusiness-com.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.janoliverautomation-stack%2Fcanairecommendmybusiness-com.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.janoliverautomation-stack%2Fcanairecommendmybusiness-com?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:8387d3b4d1ebfc0f…, first seen 2026-10-17, included at leaf 14177 of 74,558. Version history · verify what your client received.
Compare: most reliable ml servers · most reliable knowledge servers
Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-26 17:57 UTC, the Janoliverautomation Stack Canairecommendmybusiness Com MCP server is up with a Glimind reliability score of 99/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 1 outage in 90 days, with a median recovery of 7 minutes.
Janoliverautomation Stack Canairecommendmybusiness Com MCP server advertises 2 tools, including assess_ai_recommendation_readiness, get_ai_readiness_framework.
Point your MCP client at this streamable-http endpoint: https://canairecommendmybusiness.com/api/mcp
Glimind scanned all 2 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.