Search / io.github.tenkai2018/ai-business-system-advisor-mcp
AI Business System Advisor
R0· no sign-inFind the safest first AI workflow before investing in AI agents or automation.
v0.1.10 · active · repository · descriptor JSON · versions
Search / io.github.tenkai2018/ai-business-system-advisor-mcp
R0· no sign-inFind the safest first AI workflow before investing in AI agents or automation.
v0.1.10 · active · repository · descriptor JSON · versions
{
"mcpServers": {
"ai-business-system-advisor-mcp": {
"type": "http",
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}claude mcp add --transport http ai-business-system-advisor-mcp https://mcp.prodxsolution.com/ai-business-system-advisor/mcp[mcp_servers.ai-business-system-advisor-mcp]
url = "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-business-system-advisor-mcp": {
"type": "remote",
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"ai-business-system-advisor-mcp": {
"type": "http",
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ai-business-system-advisor-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnByb2R4c29sdXRpb24uY29tL2FpLWJ1c2luZXNzLXN5c3RlbS1hZHZpc29yL21jcCJ9"
}{
"servers": {
"ai-business-system-advisor-mcp": {
"type": "http",
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}{
"mcpServers": {
"ai-business-system-advisor-mcp": {
"httpUrl": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
}
}
}extensions:
"ai-business-system-advisor-mcp":
enabled: true
name: "ai-business-system-advisor-mcp"
type: streamable_http
uri: "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp"
timeout: 300
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28protocol.statelessonly applies to 2026-07-28 serversprotocol.transportstreamable HTTPprotocol.list_ttlonly applies to 2026-07-28 serversauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations9 of 9 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 5,405 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns1 advisory of lower severity or without a published fix: GHSA-5r4p-p66f-jhc7 in [email protected] (indirect, fixed in 4.13.11)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 laterdeps.resolvable[email protected] resolved: 98 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+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. How it is computed.
[email protected] npm97 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.29.0 · advisories checked 2026-10-20
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-22jm-h49p-29qwMCP TypeScript SDK: Experimental tasks were not tied to the session that created them | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.32.0 |
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
| GHSA-6prh-2h8m-c8cwMCP TypeScript client SDK: HTTP client transports and OAuth requests followed cross-origin redirects and re-sent custom headers and request bodies | moderate | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.32.0 |
| GHSA-5r4p-p66f-jhc7Hono: `serveStatic` decodes the request path a second time, leading to bypass of middleware on static paths | moderate | [email protected]indirect | fixed in 4.13.11 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://mcp.prodxsolution.com/ai-business-system-advisor/mcp streamable-http | none | yes | 98% | 376 ms | 2025-11-25 | 2026-10-20 |
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
ai-business-system-advisor-mcp | npm | 0.1.10 | – |
analyze_business_contextread-only | Summarizes the supplied business context, including customer, offer, workflow, goals, constraints, readiness signals, missing information, and confidence. |
assess_trust_control_risksread-only | Reviews a proposed AI workflow for human review needs, data boundaries, quality controls, escalation triggers, unsafe automation risks, and confidence. |
evaluate_ai_opportunitiesread-only | Evaluates candidate AI workflow ideas for business value, implementation readiness, repeatability, trust/control risk, warnings, and missing information. |
export_intake_packetread-only | Creates a structured public-safe markdown and JSON intake packet with business context, findings, risks, recommended workflow, missing information, and confidence. |
generate_mini_reportread-only | Generates a public-safe mini business system review with snapshot, bottlenecks, opportunities, risks, first workflow, next step, missing information, and confidence. |
identify_bottlenecksread-only | Identifies likely revenue, operations, customer experience, and trust/control bottlenecks from the supplied business context and returns a public-safe summary. |
map_customer_touchpointsread-only | Maps customer-facing workflow stages, trust-sensitive moments, automation-safe areas, human-critical areas, missing information, and confidence. |
recommend_first_workflowread-only | Recommends the safest narrow AI-human workflow to implement first, including roles, review rules, escalation rules, success metrics, and missing information. |
recommend_next_stepread-only | Recommends a practical next-step category based on business goal, workflow complexity, implementation readiness, risk level, preferences, and missing information. |
Schemas: list_tools.
{
"name": "io.github.tenkai2018/ai-business-system-advisor-mcp",
"title": "AI Business System Advisor",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://mcp.prodxsolution.com/ai-business-system-advisor/mcp",
"type": "streamable-http"
}
],
"version": "0.1.10",
"packages": [
{
"version": "0.1.10",
"transport": {
"type": "stdio"
},
"identifier": "ai-business-system-advisor-mcp",
"registryType": "npm"
}
],
"repository": {
"url": "https://github.com/tenkai2018/ai-business-system-advisor-mcp",
"source": "github"
},
"description": "Find the safest first AI workflow before investing in AI agents or automation."
}