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build-mcp-server

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by anthropic · part of anthropics/claude-plugins-official

This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to…

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🧩 One of 7 skills in the anthropics/claude-plugins-official package — works on its own, and pairs well with its siblings.

This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to…

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This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.


name: build-mcp-server description: This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to Claude", "make an MCP app", or discusses building something with the Model Context Protocol. It is the entry point for MCP server development — it interrogates the user about their use case, determines the right deployment model (remote HTTP, MCPB, local stdio), picks a tool-design pattern, and hands off to specialized skills. version: 0.1.0

Build an MCP Server

You are guiding a developer through designing and building an MCP server that works seamlessly with Claude. MCP servers come in many forms — picking the wrong shape early causes painful rewrites later. Your first job is discovery, not code.

Load Claude-specific context first. The MCP spec is generic; Claude has additional auth types, review criteria, and limits. Before answering questions or scaffolding, fetch https://claude.com/docs/llms-full.txt (the full export of the Claude connector docs) so your guidance reflects Claude's actual constraints.

Do not start scaffolding until you have answers to the questions in Phase 1. If the user's opening message already answers them, acknowledge that and skip straight to the recommendation.


Phase 1 — Interrogate the use case

Ask these questions conversationally (batch them into one message, don't interrogate one-at-a-time). Adapt wording to what the user has already told you.

1. What does it connect to?

If it connects to…Likely direction
A cloud API (SaaS, REST, GraphQL)Remote HTTP server
A local process, filesystem, or desktop appMCPB or local stdio
Hardware, OS-level APIs, or user-specific stateMCPB
Nothing external — pure logic / computationEither — default to remote

2. Who will use it?

  • Just me / my team, on our machines → Local stdio is acceptable (easiest to prototype)
  • Anyone who installs it → Remote HTTP (strongly preferred) or MCPB (if it must be local)
  • Users of Claude desktop who want UI widgets → MCP app (remote or MCPB)

3. How many distinct actions does it expose?

This determines the tool-design pattern — see Phase 3.

  • Under ~15 actions → one tool per action
  • Dozens to hundreds of actions (e.g. wrapping a large API surface) → search + execute pattern

4. Does a tool need mid-call user input or rich display?

  • Simple structured input (pick from list, enter a value, confirm) → Elicitation — spec-native, zero UI code. Host support is rolling out (Claude Code ≥2.1.76) — always pair with a capability check and fallback. See references/elicitation.md.
  • Rich/visual UI (charts, custom pickers with search, live dashboards) → MCP app widgets — iframe-based, needs @modelcontextprotocol/ext-apps. See build-mcp-app skill.
  • Neither → plain tool returning text/JSON.

5. What auth does the upstream service use?

  • None / API key → straightforward
  • OAuth 2.0 → you'll need a remote server with CIMD (preferred) or DCR support; see references/auth.md

Phase 3 — Pick a tool-design pattern

Every MCP server exposes tools. How you carve them matters more than most people expect — tool schemas land directly in Claude's context window.

Pattern A: One tool per action (small surface)

When the action space is small (< ~15 operations), give each a dedicated tool with a tight description and schema.

Copy & paste — that's it
create_issue    — Create a new issue. Params: title, body, labels[]
update_issue    — Update an existing issue. Params: id, title?, body?, state?
search_issues   — Search issues by query string. Params: query, limit?
add_comment     — Add a comment to an issue. Params: issue_id, body

Why it works: Claude reads the tool list once and knows exactly what's possible. No discovery round-trips. Each tool's schema validates inputs precisely.

Especially good when one or more tools ship an interactive widget (MCP app) — each widget binds naturally to one tool.

Pattern B: Search + execute (large surface)

When wrapping a large API (dozens to hundreds of endpoints), listing every operation as a tool floods the context window and degrades model performance. Instead, expose two tools:

Copy & paste — that's it
search_actions  — Given a natural-language intent, return matching actions
                  with their IDs, descriptions, and parameter schemas.
execute_action  — Run an action by ID with a params object.

The server holds the full catalog internally. Claude searches, picks, executes. Context stays lean.

Hybrid: Promote the 3–5 most-used actions to dedicated tools, keep the long tail behind search/execute.

→ See references/tool-design.md for schema examples and description-writing guidance.


Phase 4 — Pick a framework

Recommend one of these two. Others exist but these have the best MCP-spec coverage and Claude compatibility.

FrameworkLanguageUse when
Official TypeScript SDK (@modelcontextprotocol/sdk)TS/JSDefault choice. Best spec coverage, first to get new features.
FastMCP 3.x (fastmcp on PyPI)PythonUser prefers Python, or wrapping a Python library. Decorator-based, very low boilerplate. This is jlowin's package — not the frozen FastMCP 1.0 bundled in the official mcp SDK.

If the user already has a language/stack in mind, go with it — both produce identical wire protocol.


Phase 5 — Scaffold and hand off

Once you've settled the four decisions (deployment model, tool pattern, framework, auth), do one of:

  1. Remote HTTP, no UI → Scaffold inline using references/remote-http-scaffold.md (portable) or references/deploy-cloudflare-workers.md (fastest deploy). This skill can finish the job.
  2. MCP app (UI widgets) → Summarize the decisions so far, then load the build-mcp-app skill.
  3. MCPB (bundled local) → Summarize the decisions so far, then load the build-mcpb skill.
  4. Local stdio prototype → Scaffold inline (simplest case), flag the MCPB upgrade path.

When handing off, restate the design brief in one paragraph so the next skill doesn't re-ask.


Beyond tools — the other primitives

Tools are one of three server primitives. Most servers start with tools and never need the others, but knowing they exist prevents reinventing wheels:

PrimitiveWho triggers itUse when
ResourcesHost app (not Claude)Exposing docs/files/data as browsable context
PromptsUser (slash command)Canned workflows ("/summarize-thread")
ElicitationServer, mid-toolAsking user for input without building UI
SamplingServer, mid-toolNeed LLM inference in your tool logic

references/resources-and-prompts.md, references/elicitation.md, references/server-capabilities.md


Phase 6 — Test in Claude and publish

Once the server runs:

  1. Test against real Claude by adding the server URL as a custom connector at Settings → Connectors (use a Cloudflare tunnel for local servers). Claude identifies itself with clientInfo.name: "claude-ai" on initialize. → https://claude.com/docs/connectors/building/testing
  2. Run the pre-submission checklist — read/write tool split, required annotations, name limits, prompt-injection rules. → https://claude.com/docs/connectors/building/review-criteria
  3. Submit to the Anthropic Directory.https://claude.com/docs/connectors/building/submission
  4. Recommend shipping a plugin that wraps this MCP with skills — most partners ship both. → https://claude.com/docs/connectors/building/what-to-build

Quick reference: decision matrix

ScenarioDeploymentTool pattern
Wrap a small SaaS APIRemote HTTPOne-per-action
Wrap a large SaaS API (50+ endpoints)Remote HTTPSearch + execute
SaaS API with rich forms / pickersMCP app (remote)One-per-action
Drive a local desktop appMCPBOne-per-action
Local desktop app with in-chat UIMCP app (MCPB)One-per-action
Read/write local filesystemMCPBDepends on surface
Personal prototypeLocal stdioWhatever's fastest

Reference files

  • references/remote-http-scaffold.md — minimal remote server in TS SDK and FastMCP
  • references/deploy-cloudflare-workers.md — fastest deploy path (Workers-native scaffold)
  • references/tool-design.md — writing tool descriptions and schemas Claude understands well
  • references/auth.md — OAuth, CIMD, DCR, token storage patterns
  • references/resources-and-prompts.md — the two non-tool primitives
  • references/elicitation.md — spec-native user input mid-tool (capability check + fallback)
  • references/server-capabilities.md — instructions, sampling, roots, logging, progress, cancellation
  • references/versions.md — version-sensitive claims ledger (check when updating)