INDIVIDUAL MCP TOOL

recommend_path

Suggest likely offer keys from a workflow description. Not a Fit Check score and never a price. Always send the buyer through the Workflow Fit Check next.

kemeny.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://www.kemeny.ai

No auth detected

Connect to this endpoint to inspect the live schema for recommend_path and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

A tool name or description contains a write-action term.
A tool name or description suggests sending messages.

Parent server

kemeny.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.webmcp]
url = "https://www.kemeny.ai"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://www.kemeny.ai"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://www.kemeny.ai

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "webmcp": {
      "url": "https://www.kemeny.ai"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://www.kemeny.ai"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://www.kemeny.ai"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

get_overview — Who Kemeny Studio is, who they fit, who they do not, buying order, and canonical links. Call this first when a visitor asks what the company does.
list_services — List active commercial offers. Planning ranges are market figures only — never present them as a firm Kemeny quote.
get_service — One commercial offer by stable key (comercial-ai, document-intelligence, ai-workflow-audit, voice-analytics, and others from list_services).
search_case_studies — Search public production case studies (retail transaction matching, document review, call QA, support automation, contracts, visual inspection). Use when asked what Kemeny Studio has shipped for a sector or workflow.
get_buyer_links — Canonical URLs: Workflow Fit Check, contact, cost hub, skill install, HTTP MCP install. Use when someone wants to talk to Kemeny Studio.
open_workflow_fit_check — Return the Workflow Fit Check URL, the public door for buyers who want to talk or see if a workflow is a candidate. Does not submit anything.
request_project_estimate — Request a human quote for a production AI workflow. Opens a confirmation dialog the visitor must accept. Does not return a price. Requires name, work email, and a concrete workflow description.
get_overview — Who Kemeny Studio is, who they fit, who they do not, buying order, and canonical links. Call this first when a visitor asks what the company does.