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Agent Surface

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View RepositoryVisit Website

Search and read the Agent Surface guide to making websites, apps, APIs and CLIs work with AI agents.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Agent Surface, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
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Documentation Overview

Agent Surface

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. plan and transform are Audit modes, not separate routes; transform executes 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:

  1. API Surface
  2. CLI Design
  3. MCP Server
  4. Discovery and AEO
  5. Authentication
  6. Error Handling
  7. Tool Design
  8. Context Files
  9. Testing and Evaluation
  10. 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 prompts
  • src/content/docs/ - the two-part MDX guide served by the docs site
  • disciplines/ - longer-form guidance on agent-surface design topics
  • templates/ - reusable starter files the implementation kit points to
  • src/app/ - Next.js application for the docs site
  • docs/ - ADRs and internal supporting documents

Quick Start

Prerequisites:

  • Node 24.15+
  • pnpm 11

Install and run the docs site:

bash
pnpm install
pnpm dev

Other useful commands:

bash
pnpm build
pnpm start
pnpm test        # docs integrity check
pnpm typecheck
pnpm lint

Notes:

  • postinstall runs fumadocs-mdx
  • pnpm prepush runs typecheck, lint, then test - the full local gate
  • linting and formatting configuration lives in oxlint.config.ts and oxfmt.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 place
  • retrievability-engineer - build or upgrade search/query APIs, retrieval contracts, and structured content
  • score-* 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.md provides repo-level guidance
  • skills/surface/SKILL.md provides 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.md plus 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

  • AGENTS.md
  • CONTEXT.md
  • skills/surface/SKILL.md
  • INSTALL.md
  • CHANGELOG.md

License

MIT

Author

Daniel Howells

Read the full README →View source on GitHub →

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Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Agent Surface

We don't have a confirmed install command for Agent Surface yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/howells/agentsurface) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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28Quality signal: Emerging · 28/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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