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Mcp Setup

OrganizationPopular
vellum-ai
mcp-setup

Add, authenticate, list, and remove MCP (Model Context Protocol) servers — connect any external tool or service that publishes an MCP endpoint to the assistant

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill namemcp-setup
Stars
1.3K
Forks
186
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vellum-ai on GitHub. Read the source before you install it.

Installation

Install the Mcp Setup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/skills/mcp-setup .claude/skills/mcp-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp Setup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mcp Setup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mcp Setup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Configure MCP servers to give the assistant access to any external tool or service that publishes an MCP endpoint.

DO NOT run exploratory commands. Do not check available CLI commands, search for bun/npx/node, or investigate transport types. Follow the steps below exactly and stop when done. (Looking up a service's MCP endpoint URL in its own documentation is allowed when the service is not in the recipe table, per Step 3.)

When to Use

USE THIS SKILL WHEN:

  • User asks to connect any external tool or service via MCP
  • User asks "what MCP servers / integrations do I have?"
  • An MCP tool returns an auth error → run assistant mcp auth <name>
  • User wants to disconnect an integration

Prefer Native OAuth Integration (check this first)

Many services have built-in OAuth integrations that are simpler and more reliable than MCP. Before setting up MCP, check whether the service already has a native OAuth provider:

assistant oauth providers list

If the service appears in that list, connect it natively instead of using MCP:

assistant oauth connect <provider>

Only use MCP when:

  • The service is not in assistant oauth providers list
  • The user explicitly asks to use MCP for a specific service
  • The native OAuth integration fails or lacks features the user needs

Step 1 — Detect your environment

Before doing anything else, determine which environment you are in.

Try host_bash:

echo "desktop ok"
  • If it succeeds → you are on the desktop app. Use host_bash for all commands, including auth (opens a local browser).
  • If it is unavailable → you are on the web app (or a cloud-hosted session). Use bash for all commands, including auth (the platform handles the browser redirect).

Both environments fully support MCP. The only difference is which tool runs the commands.

Step 2 — Check the recipe table

Check this table before doing anything else. If the service is listed, run the command shown and do nothing else — no exploration, no checking available commands, no looking up documentation.

ServiceCommandAfter?
Context7 (docs)assistant mcp add context7 -t streamable-http -u https://mcp.context7.com/mcp -r lowDone — no auth needed
Linearassistant mcp add linear -t streamable-http -u https://mcp.linear.app/mcpRun assistant mcp auth linear
Figmaassistant mcp add figma -t streamable-http -u https://mcp.figma.com/mcpRun assistant mcp auth figma

If the service is not in this table, go to Step 3.

Step 3 — Unknown service

Find the MCP endpoint URL in the service's documentation, then run:

assistant mcp add <name> -t streamable-http -u <url>

Then run assistant mcp list. If it shows ! Needs authentication, run assistant mcp auth <name>.

  • On desktop → run via host_bash (opens the local browser).
  • On web app → run via bash (the platform handles the browser redirect).

Reference: All Commands

Run list, add, remove, and reload via bash on both environments. Run auth via host_bash on desktop, or via bash on the web app.

List servers

assistant mcp list
assistant mcp list --json   # machine-readable output

Shows each server's connection status, transport, and URL/command. Status indicators:

  • Connected
  • Error
  • ! Needs authentication

Add a server

assistant mcp add <name> -t <transport> -u <url>

Transport types:

  • streamable-http — most modern remote servers (use this by default)
  • sse — legacy remote servers
  • stdio — local process: use -c <command> and -a <args...> instead of -u

Examples:

assistant mcp add linear -t streamable-http -u https://mcp.linear.app/mcp
assistant mcp add context7 -t streamable-http -u https://mcp.context7.com/mcp
assistant mcp add local-db -t stdio -c npx -a -y @my/mcp-server

Authenticate (OAuth)

assistant mcp auth <name>
  • On desktop → run via host_bash (opens the user's local browser for OAuth login).
  • On web app → run via bash (the platform handles the browser redirect and saves tokens).

Tokens are saved automatically. Use when:

  • assistant mcp list shows ! Needs authentication
  • An MCP tool call fails with an auth/token error
  • Setting up a new OAuth-protected server for the first time

Remove a server

assistant mcp remove <name>

Removes config and cleans up stored OAuth credentials.

Reload

assistant mcp reload

Manually signals the assistant to reconnect all MCP servers from disk. Normally not needed — the assistant detects changes automatically after add, remove, and auth. Use this only if a server's tools aren't appearing after ~10 seconds.

Advanced Configuration

mcp add covers the common cases. For stdio environment variables, edit $VELLUM_WORKSPACE_DIR/mcp.json under mcpServers.<name>.env. Auth headers for remote servers go through assistant mcp add -H or the settings UI, not mcp.json.

SKILL COMPLETE WHEN

Match the completion condition to the task:

  • Add / authenticate: the server appears in assistant mcp list with status ✓ Connected and the user confirms its tools are available in the conversation.
  • List: the current servers (or the fact that none are configured) have been reported to the user.
  • Remove / disconnect: assistant mcp remove <name> succeeds and the server no longer appears in assistant mcp list.

Frequently asked questions

What does the Mcp Setup AI skill do?

Add, authenticate, list, and remove MCP (Model Context Protocol) servers — connect any external tool or service that publishes an MCP endpoint to the assistant

Why use Mcp Setup on TypingMind?

Because you install it once and use it with any model. Mcp Setup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mcp Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vellum-ai/vellum-assistant/tree/main/skills/mcp-setup. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mcp Setup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mcp Setup?

As many as you like. As long as a model supports skills, you can use Mcp Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mcp Setup AI skill free?

Yes. It is published on GitHub by vellum-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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