Agent Surface
MCP serverSearchSearch and read the Agent Surface guide to making websites, apps, APIs and CLIs work with AI agents.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use Agent Surface
Install Agent Surface
The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user agent-surface 'https://agentsurface.dev/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://agentsurface.dev/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=agent-surface&config=eyJ1cmwiOiJodHRwczovL2FnZW50c3VyZmFjZS5kZXYvbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://agentsurface.dev/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add agent-surface --url 'https://agentsurface.dev/mcp'Run it once, then sign in with codex mcp login agent-surface if the server asks for an account.
From the project's README
As published by howells/agentsurface in README.md.
Agent Surface is a field guide and implementation kit for engineering teams making software operable by agents: discoverable, understandable, callable, recoverable, and evaluable.
Agents do not reach software through one interface. They read docs, inspect repositories, call APIs, run CLIs, use MCP tools, parse errors, and retrieve data. Agent Surface treats all of those contact points as one design problem: the agent surface.
Two Parts
The site has two labelled parts.
Part 1 - Make your product agent-ready (the core guide). Product-side, framework-neutral
guidance for making an existing product usable by agents: discovery, API surface, tool
design, CLI design, MCP servers, authentication, error handling, context files
(AGENTS.md/CLAUDE.md), agentic UI, retrievability (search APIs, retrieval contracts,
structured content), protocols, testing, scoring, and reference links. This is the guide the
surface skill applies.
Part 2 - Build agents (the agent-building inventory). A secondary, condensed reference for
teams building their own agents: frameworks (including Mastra), platform features,
orchestration, memory, durable execution, browser and sandbox access, guardrails
(/docs/agents), and agent retrieval - vector databases, embeddings, RAG, knowledge graphs
(/docs/agent-retrieval) - plus a tooling catalog. This inventory gives one short summary of
current practice per topic; it sits outside the core guide and outside the surface skill.
An earlier version of this repo kept agent-internal architecture out entirely. We keep the inventory because it is worth maintaining as a reference, but it stays separate so the guide does not turn into a general agent-building toolkit.
The surface Skill
surface is a single skill with three routes, all product-side and framework-neutral:
- Guide - explain agent-surface concepts, standards, and implementation patterns; point to the right doc or primary source.
- Audit - detect a project's surfaces, score agent readiness across 10 dimensions, produce
findings, and write a transformation plan.
planandtransformare Audit modes, not separate routes;transformexecutes only after explicit confirmation. - Scaffold - create or extend agent surfaces (discovery files, API/CLI/MCP surfaces, tool contracts, retrieval endpoints) and the evaluation harnesses that verify them. It does not generate agent-internal architecture (agents, orchestration, memory, model routing, an agent's own retrieval pipeline) - that belongs to Part 2, not this skill.
The 10 audit dimensions:
- API Surface
- CLI Design
- MCP Server
- Discovery and AEO
- Authentication
- Error Handling
- Tool Design
- Context Files
- Testing and Evaluation
- Retrievability
See skills/surface/SKILL.md for the operative workflow and
skills/surface/references/ for the per-dimension and
per-mode detail.
Repository Contents
skills/surface/- skill entrypoint, audit/scaffold references, and specialist agent promptssrc/content/docs/- the two-part MDX guide served by the docs sitedisciplines/- longer-form guidance on agent-surface design topicstemplates/- reusable starter files the implementation kit points tosrc/app/- Next.js application for the docs sitedocs/- ADRs and internal supporting documents
Quick Start
Prerequisites:
- Node 24.15+
- pnpm 11
Install and run the docs site:
pnpm install
pnpm dev
Other useful commands:
pnpm build
pnpm start
pnpm test # docs integrity check
pnpm typecheck
pnpm lint
Notes:
postinstallrunsfumadocs-mdxpnpm prepushruns typecheck, lint, thentest- the full local gate- linting and formatting configuration lives in
oxlint.config.tsandoxfmt.config.ts
Using the Skill
surface routes to the matching workflow based on the request:
/surface- explain a concept, or run a full audit with scorecard and findings, depending on the ask/surface score- scorecard only/surface plan- audit plus transformation plan/surface transform- audit, plan, and execution (after confirmation)/surface --dimension=X- focus on a single dimension/surface --format=json- structured output/surface init- initialize baseline agent-surface conventions (AGENTS.md, llms.txt,.well-known)/surface api//surface cli//surface mcp- scaffold or upgrade that surface/surface tool <name>- scaffold or refine one typed tool contract/surface test-harness- scaffold an evaluation harness for a surface
These are skill/runtime invocations, not an npm binary. This repository does not publish a bin entry in package.json.
Specialist Agents
surface can delegate focused work to specialist prompts in skills/surface/agents:
context-writer,discovery-writer,error-designer,api-optimizer,cli-enhancer,auth-upgrader,mcp-builder,test-writer,tool-design-writer- improve an existing surface in placeretrievability-engineer- build or upgrade search/query APIs, retrieval contracts, and structured contentscore-*prompts - score one audit dimension in parallel delegation
These agents apply focused fixes after an audit identifies the highest-impact gaps; they are task resources, not required context for ordinary guide/audit/scaffold routing.
Documentation Site
The Next.js site in src/app publishes the guidance in src/content/docs, split into the two parts described above.
Compatibility
This repository is structured to be readable by multiple agent runtimes.
AGENTS.mdprovides repo-level guidanceskills/surface/SKILL.mdprovides execution instructions for the Guide, Audit, and Scaffold routes- Claude Code can consume the plugin and skill layout directly
- Codex and other generic runtimes can use
AGENTS.mdplus the linked skill file
The docs site also exposes a lightweight HTTP MCP endpoint at /mcp for documentation search and page retrieval. This is a docs discovery surface, not a generated project MCP server; the surface skill, templates, and guidance remain the primary distribution artifacts.
Current Stack
Visible in the checked-in code:
- Next.js 16
- React 19
- TypeScript 6
- Tailwind CSS 4
- Fumadocs
Key Files
License
MIT
Author
Daniel Howells
Advanced
- Delivery
- docs MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Catalog kind
- mcp-server
- Key
dev-agentsurface-docs- Source
- github.com/howells/agentsurface
- Hosted endpoint
https://agentsurface.dev/mcp