MCP server

The Outcome Layer Official

com.theoutcomelayer/outcome-layer

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

AI-vs-consultant cost estimates, adjustable task proposals and opt-in handoff to The Outcome Layer.

Website

At a glance

Type

MCP server

Publisher

theoutcomelayer.com (verified by the MCP Registry)

Status

Working at last check

Tools

14

Token cost

About 2,253 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http outcome-layer https://theoutcomelayer.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.outcome-layer]
url = "https://theoutcomelayer.com/api/mcp"

Gemini CLI

{"mcpServers":{"outcome-layer":{"httpUrl":"https://theoutcomelayer.com/api/mcp"}}}

Cursor

{"mcpServers":{"outcome-layer":{"url":"https://theoutcomelayer.com/api/mcp"}}}

VS Code

{"servers":{"outcome-layer":{"type":"http","url":"https://theoutcomelayer.com/api/mcp"}}}

Antigravity

agy mcp add outcome-layer https://theoutcomelayer.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"outcome-layer","server_url":"https://theoutcomelayer.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"outcome-layer","server_url":"https://theoutcomelayer.com/api/mcp"}

Tools

• adjust_proposal ~264 tokens
  Adjust an existing proposal (review level, model tier, volume, budget cap, disable steps). Returns feasibility, price/risk notes, optional alternative. Stateless — pass full proposal JSON.
• ask_clarifying_questions ~155 tokens
  Merge answers to clarifying questions into intake and return remaining questions. Pass the intake object from start_proposal.
• build_handoff_link ~139 tokens
  Build a shareable URL that opens a one-step Free First Task handoff page with proposal/summary prefilled (no PII). For chats without MCP submit.
• estimate_automation ~136 tokens
  Deterministic illustrative estimate: workflow pattern, model tier, consultant vs fixed monthly range, running cost. Not a quote.
• get_answer ~88 tokens
  Full text for one answer page by slug.
• get_company_facts ~74 tokens
  Canonical read-only facts about The Outcome Layer (entity, positioning, illustrative scenario, disambiguation).
• get_offer ~54 tokens
  Free entry offer (Free First Task): price 0 SEK.
• get_pricing_model ~61 tokens
  How The Outcome Layer prices work (ROI-first, fixed fee packages).
• get_proposal ~112 tokens
  Build a concrete indicative proposal (steps, automation split, model tier, pricing ranges, Free First Task CTA). Stateless — pass intake JSON.
• how_to_start ~60 tokens
  How a buyer or agent should start engaging with The Outcome Layer.
• list_answer_pages ~58 tokens
  List citable English answer pages under /answers/<slug>.
• request_free_first_task ~438 tokens
  Submit a Free First Task lead to The Outcome Layer (same as the website form). REQUIRED BEFORE CALLING: 1) Ask the user if they want TOL to review/build this — get explicit consent. 2) Collect real name, work email, and company from the user — never invent or guess contact data. 3) Include task_sum
• send_to_tol Sends messages · ~444 tokens
  Alias for request_free_first_task. Submit a Free First Task lead to The Outcome Layer (same as the website form). REQUIRED BEFORE CALLING: 1) Ask the user if they want TOL to review/build this — get explicit consent. 2) Collect real name, work email, and company from the user — never invent or gues
• start_proposal ~170 tokens
  Begin interactive proposal intake from a task description. Returns clarifying questions (volume, systems, frequency, sign-off). Stateless.

Browse

• Email

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