graft — Claude Code skill: one server for HTTP API and MCP
Guides an agent through building and refining Graft servers, where a tool is declared once and served both as a REST endpoint and an MCP tool.
npx skills add schrepa/graft --skill graft -a claude-codeWhat graft does
The skill activates on Graft work: authoring a server, wrapping someone else's API in proxy mode, or bringing docs and examples in line with what the graft package does now. Three reference files sit behind it — app authoring, proxy and OpenAPI, validation and release hygiene — and the agent loads only the one it needs.
Graft's premise is a single declaration: a name, a schema, a handler. The same handler, auth middleware and validation then run over HTTP and over MCP alike. Discovery is the server's job, covering /.well-known/agent.json, /.well-known/mcp.json, /openapi.json, /docs, /llms.txt, /llms-full.txt and /health. MCP traffic goes to POST /mcp.
Every example in the skill shows both access patterns — a tools/call invocation next to the matching HTTP request. Proxy mode works from a graft.proxy.yaml listing operations on a target API, started with graft serve --config graft.proxy.yaml. The direct route is graft serve --openapi ./openapi.yaml --target https://api.example.com. With no repo or shell access the agent asks for the smallest set of files instead of guessing, and states its assumptions.
What it helps with
- declare a tool once and expose it over HTTP and MCP
- wrap an existing REST API as MCP tools without rewriting it
- share auth and validation across both protocols
- generate an OpenAPI spec and docs pages automatically
- sync README and examples with current
graftbehavior
Example prompts for the agent
- Define a
list_itemstool withapp.tooland show both the MCP and HTTP ways to call it - Wrap this API in Graft proxy mode and start it with
graft serve --config graft.proxy.yaml - Check that the README examples match the current exports and CLI
How to install graft
1Skills CLI (Vercel)
npx skills add schrepa/graft --skill graft -a claude-code2Manually: put the files in place
~/.claude/skills/graft/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/graft/
1Skills CLI (Vercel)
npx skills add schrepa/graft --skill graft -a codex2Manually: put the files in place
.agents/skills/graft/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add schrepa/graft --skill graft -a cursor2Manually: put the files in place
.cursor/skills/graft/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install schrepa/graft graft2Manually: put the files in place
.github/skills/graft/SKILL.md1Skills CLI (Vercel)
npx skills add schrepa/graft --skill graft -a gemini-cli2Platform CLI
gemini skills install https://github.com/schrepa/graft --path skills/graftManually: put the files in place
.devin/skills/graft/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add schrepa/graft --skill graft -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about graft
How do I install graft in Claude Code?
Run npx skills add schrepa/graft --skill graft -a claude-code. The skill lands in ~/.claude/skills/graft/SKILL.md.
What does the graft skill do?
It helps an agent build and refine Graft servers: defining tools and handlers, configuring auth middleware, setting up HTTP and stdio transports, generating OpenAPI docs, and wrapping existing APIs in proxy mode.
Which endpoints does Graft serve on its own?
/.well-known/agent.json, /.well-known/mcp.json, /openapi.json, /docs, /llms.txt, /llms-full.txt and /health. MCP requests go to POST /mcp.
Source text
SKILL.md · Apache-2.0
---
name: graft
description: >-
Use when building, refactoring, or documenting Graft apps and proxies,
including when asked to create a tool server, API server, dual-protocol
server, or MCP-HTTP bridge. Graft's core thesis: define tools once and serve
them as both HTTP REST endpoints and MCP tools from the same server, with
discovery, docs, and OpenAPI generated automatically. Covers concrete actions
such as defining tools and handlers, configuring authentication middleware,
setting up HTTP and stdio transports, generating OpenAPI documentation,
wrapping existing APIs via proxy mode, and wiring up the full CLI workflow.
---
# Graft
Use this skill when the task is about creating or refining a Graft server, wrapping an existing API with Graft proxy mode, or updating contributor-facing docs and examples so they match the current `graft` package behavior.
## Product thesis
Graft's core value has three parts:
1. **Define once** — tools with a name, schema, and handler.
2. **Serve as HTTP and MCP** — from the same server, through a single shared pipeline (same auth, validation, middleware).
3. **Discovery is automatic** — agents find tools via `agent.json`, `mcp.json`, `llms.txt`. Humans get interactive docs (`/docs`) and an OpenAPI spec (`/openapi.json`). Zero configuration.
When explaining Graft, lead with all three parts. When showing examples, demonstrate both access patterns (MCP and HTTP) and mention what the server auto-serves. This applies to both source-based apps and proxy mode.
## Workflow
1. Identify the mode before proposing changes:
- App authoring: `createApp(...)`, tools, resources, prompts, HTTP routes, Node or fetch integration.
- Proxy/OpenAPI: `graft serve --openapi ...` or `graft.proxy.yaml`.
- Docs/release hygiene: README, install instructions, skills, examples, contributor checks.
2. Ground in the current repo before using memory:
- If tool access is available, inspect the current source, public exports, CLI commands, scaffold templates, and tests.
- If tool access is not available, ask for the smallest set of files or examples needed to avoid guessing.
3. Follow the current public contract in examples and reviews:
- Inline tool examples: prefer `app.tool('name', config)`.
- Modular tool examples: prefer `defineTool(...)` plus `app.tool(definedTool)`.
- Auth shapes: `true`, `['role']`, or `{ roles: [...] }`.
- MCP Streamable HTTP endpoint: `POST /mcp`.
- Auto-served framework endpoints: `/.well-known/agent.json`, `/.well-known/mcp.json`, `/openapi.json`, `/docs`, `/llms.txt`, `/llms-full.txt`, `/health`.
- Full CLI: `serve`, `dev`, `check`, `test`, `studio`, `install`, `add-tool`.
- When showing tool examples, demonstrate both the MCP `tools/call` invocation and the equivalent HTTP request (e.g. `GET /list-items?q=hello` or `POST /create-entry`).
4. Use tools where they materially improve correctness, but stay portable:
- With repo or shell access, inspect files and run validation commands after making changes.
- Without repo or shell access, state assumptions explicitly and keep recommendations tied to visible source or user-provided snippets.
5. Load only the reference you need:
- App authoring: [references/app-authoring.md](references/app-authoring.md)
- Proxy/OpenAPI wrapping: [references/proxy-openapi.md](references/proxy-openapi.md)
- Validation, docs, and release hygiene: [references/validation-release.md](references/validation-release.md)
## Quick examples
### Inline tool — both access patterns
```ts
import { createApp } from '@schrepa/graft'
import { z } from 'zod'
const app = createApp()
app.tool('list_items', {
description: 'List items matching a query.',
params: z.object({ q: z.string() }),
auth: true,
handler: async ({ q }) => ({
items: ['hello', 'world'].filter((item) => item.includes(q)),
}),
})
export default app
```
**MCP (`tools/call`):**
```json
{ "method": "tools/call", "params": { "name": "list_items", "arguments": { "q": "hello" } } }
```
**HTTP equivalent:**
```
GET /list-items?q=hello
Authorization: Bearer <token>
```
The same handler, auth middleware, and validation run for both.
### Proxy mode — `graft.proxy.yaml`
```yaml
target: https://petstore3.swagger.io/api/v3
tools:
- method: GET
path: /pet/findByStatus
name: find_pets_by_status
description: Find pets by status.
parameters:
type: object
properties:
status:
type: string
- method: POST
path: /pet
name: create_pet
description: Create a pet.
parameters:
type: object
properties:
name:
type: string
required: [name]
```
Start the proxy server:
```
graft serve --config graft.proxy.yaml
```
Graft exposes each configured operation as both an HTTP endpoint and an MCP tool, and auto-generates `/openapi.json`, `/docs`, and discovery files.
For the direct OpenAPI path, use:
```
graft serve --openapi ./openapi.yaml --target https://api.example.com
```
## Guardrails
- Do not document unsupported behavior just because an older example mentioned it.
- Keep examples executable and small; prefer one correct pattern over many variants.
- Prefer current source and tests over stale notes, blog posts, or memory.
- Do not mention registry or publishing artifacts unless they actually exist in the repo being edited.
- When a docs claim is likely to drift, add or update an automated check.
© schrepa · Apache-2.0 · schrepa/graft