# AI Business System Advisor

> Find the safest first AI workflow before investing in AI agents or automation.

- name: io.github.tenkai2018/ai-business-system-advisor-mcp
- version: 0.1.10
- connection class: R0 (autonomous)
- trust: 87/100
- quality: 84/100 (good)
- owner: not claimed
- descriptor: https://api.protogrid.dev/v1/servers/io.github.tenkai2018%2Fai-business-system-advisor-mcp
- tools: https://api.protogrid.dev/v1/servers/io.github.tenkai2018%2Fai-business-system-advisor-mcp/tools

**An agent can connect right now, no human step.** Remote endpoint, no authentication, reachable on the last probe.

## Connection (mcpServers)

```json
{
  "mcpServers": {
    "ai-business-system-advisor-mcp": {
      "type": "http",
      "url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
    }
  }
}
```


## Trust

- hygiene: 100
- liveness: 99
- freshness: 65
- provenance: 80
- drivers: +repository +namespace-matches-repo +reachable +uptime-98% ~updated-143d-ago
- Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed.

## Quality 84/100 (good)

### protocol: 75 (weight 25)

- warn `protocol.modern`: newest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
- n/a `protocol.stateless`: only applies to 2026-07-28 servers
- pass `protocol.transport`: streamable HTTP
- n/a `protocol.list_ttl`: only applies to 2026-07-28 servers

### authorization: n/a (weight 15)

- n/a `auth.prm`, `auth.as_metadata`, `auth.cimd`: no remote uses OAuth
- n/a `auth.secret_in_url`: no templated URL

### tool hygiene: 100 (weight 30)

- pass `tools.descriptions`: every tool has a description
- pass `tools.description_length`: descriptions are concise
- pass `tools.schemas`: every tool has an object input schema
- pass `tools.annotations`: 9 of 9 tools declare readOnlyHint or destructiveHint
- pass `tools.directory_hints`: every tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
- pass `tools.token_cost`: about 5,405 tokens to load every tool
- pass `tools.api_dump`: tools are not a one-to-one API dump

### stability: 100 (weight 15)

- pass `stability.changes`: no tool changes in 30 days
- pass `stability.rug_pull`: no tool changed its meaning under the same name

### dependencies: 50 (weight 15)

- warn `deps.known_vulns`: 1 advisory of lower severity or without a published fix: GHSA-5r4p-p66f-jhc7 in hono@4.13.9 (indirect, fixed in 4.13.11)
- fail `deps.mcp_sdk_version`: @modelcontextprotocol/sdk 1.29.0 has 3 known advisories (GHSA-22jm-h49p-29qw, GHSA-6prh-2h8m-c8cw, GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.32.0 or later
- pass `deps.resolvable`: ai-business-system-advisor-mcp@0.1.10 resolved: 98 packages

- tools: 9, about 5,405 tokens to load them all
- tool set hash: 5eb8230fa7be0089593a3bb0f808e086
- badge: [![protogrid quality](https://protogrid.dev/badge/io.github.tenkai2018/ai-business-system-advisor-mcp.svg)](https://protogrid.dev/servers/io.github.tenkai2018/ai-business-system-advisor-mcp)
- Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed.

### Tool changes

_No tool definition changes recorded._

## Dependencies

- npm ai-business-system-advisor-mcp@0.1.10: resolved, 97 dependencies, MCP SDK @modelcontextprotocol/sdk 1.29.0
  - GHSA-22jm-h49p-29qw (high) in `` @modelcontextprotocol/sdk@1.29.0 ``, direct, fixed in `` 1.32.0 ``, advisory summary: "MCP TypeScript SDK: Experimental tasks were not tied to the session that created them" https://osv.dev/vulnerability/GHSA-22jm-h49p-29qw
  - GHSA-6qxp-vccf-f47h (high) in `` @modelcontextprotocol/sdk@1.29.0 ``, direct, fixed in `` 1.31.0 ``, advisory summary: "MCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server" https://osv.dev/vulnerability/GHSA-6qxp-vccf-f47h
  - GHSA-6prh-2h8m-c8cw (moderate) in `` @modelcontextprotocol/sdk@1.29.0 ``, direct, fixed in `` 1.32.0 ``, advisory summary: "MCP TypeScript client SDK: HTTP client transports and OAuth requests followed cross-origin redirects and re-sent custom headers and request bodies" https://osv.dev/vulnerability/GHSA-6prh-2h8m-c8cw
  - GHSA-5r4p-p66f-jhc7 (moderate) in `` hono@4.13.9 ``, indirect, fixed in `` 4.13.11 ``, advisory summary: "Hono: \`serveStatic\` decodes the request path a second time, leading to bypass of middleware on static paths" https://osv.dev/vulnerability/GHSA-5r4p-p66f-jhc7

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0.

## Remotes

- https://mcp.prodxsolution.com/ai-business-system-advisor/mcp (streamable-http, auth none, reachable true, uptime30d 0.982906)

## Packages

- npm ai-business-system-advisor-mcp@0.1.10

## Tools (9)

- `analyze_business_context`: Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence.
- `assess_trust_control_risks`: Reviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence.
- `evaluate_ai_opportunities`: Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information.
- `export_intake_packet`: Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence.
- `generate_mini_report`: Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence.
- `identify_bottlenecks`: Identifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary.
- `map_customer_touchpoints`: Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence.
- `recommend_first_workflow`: Recommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information.
- `recommend_next_step`: Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information.