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Vamos MCP Server

@Vamos

Basic information

Transport

streamable-http

Authentication

OAuth

Author

Vamos

About Vamos MCP Server

Vamos is an AI social media strategist that follows competitors and creators, finds high-performing posts and turns them into scripts, posts and plans. Its hosted MCP server lets an AI assistant run the same research and writing from chat, using your workspace credits at the same rates as the Vamos app.

Connection details

https://mcp.getvamos.ai/mcp

Setup

claude mcp add vamos --transport http https://mcp.getvamos.ai/mcp

Vamos MCP Server tools

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Overview

What is Vamos MCP Server?

Vamos MCP Server is the hosted MCP endpoint for Vamos, an AI social media strategist, so Claude, ChatGPT, Cursor and other assistants can research live social content and write posts in your brand voice from chat.

Vamos follows competitors and creators on social platforms, finds the posts that perform well in your niche, and turns them into scripts, posts, briefs and plans. The Vamos MCP server exposes that work to any MCP client at https://mcp.getvamos.ai/mcp. Usage draws on the same workspace credits as the Vamos app, with no surcharge.

How to use Vamos MCP Server?

You need a Vamos account. The free plan gives 100 one-time credits with no card required. The server uses OAuth: when you connect, a browser tab opens where you sign in to Vamos and approve access. There is no API key to copy. Vamos also shows the server address in the app under Settings → Connectors.

Server URL:

https://mcp.getvamos.ai/mcp

Claude Desktop and claude.ai

  1. In Claude, open Customize → Connectors.
  2. Click +, then Add custom connector.
  3. Paste https://mcp.getvamos.ai/mcp as the remote MCP server URL.
  4. Click Add, then Connect, and sign in to Vamos in the browser tab that opens.
  5. In a chat, open the + menu, go to Connectors, and turn Vamos on.

On Team and Enterprise plans, an owner adds the connector once under Organization settings → Connectors, and members then click Connect.

Claude Code

claude mcp add --transport http vamos https://mcp.getvamos.ai/mcp

Run /mcp inside Claude Code and complete the browser sign-in.

Cursor

Add the server to ~/.cursor/mcp.json or the project's .cursor/mcp.json:

{
  "mcpServers": {
    "vamos": {
      "url": "https://mcp.getvamos.ai/mcp"
    }
  }
}

Cursor prompts you to sign in to Vamos the first time the server connects.

VS Code

Add the server to .vscode/mcp.json:

{
  "servers": {
    "vamos": {
      "type": "http",
      "url": "https://mcp.getvamos.ai/mcp"
    }
  }
}

Vamos also documents setup for ChatGPT and Manus in its help center, and says any MCP-compatible client can use the same URL.

Key features of Vamos MCP Server

  • Live social research: looks at what is performing on TikTok, Instagram, YouTube, Facebook, LinkedIn and X.
  • Brand-aware writing: writes hooks and full posts in your brand voice, built around your offer.
  • Same credits as the app: MCP calls use your workspace credits at the same rates as in-app chat. There is no surcharge, multiplier or separate plan.
  • No social account login: you add public handles to research. Vamos does not ask you to log in to the social accounts you follow.
  • Works across tools: an assistant can pass finished work to other connectors, for example adding each post to a Notion content calendar.
  • One URL for every client: Claude, ChatGPT, Cursor, Codex, Manus and any other MCP client use the same server.

Use cases of Vamos MCP Server

  • Hook research: "Find the best-performing hooks on this creator's last posts and explain why they work."
  • Comment mining: "Summarize the top objections in the comments on this post."
  • On-brand drafting: "Write five hooks in our brand voice for next week's launch."
  • Competitor tracking: watch what rivals in your niche publish and which formats get traction, then ask for a content plan built on it.
  • Content calendar handoff: draft a week of posts with Vamos, then have Claude add each one to a Notion calendar through the Notion connector.

Troubleshooting Vamos MCP Server

  • Need to change the connector in Claude: you can't edit a custom connector. Remove it and add it again.
  • A research request seems stuck: large research requests can take several minutes. Wait for progress to appear. Resubmitting starts a new run and bills credits twice.
  • Only one custom connector allowed: Claude's Free plan keeps one custom connector at a time. Remove another custom connector or upgrade Claude.
  • Connector added but not used: turn Vamos on for the chat from + → Connectors.
  • VPN or firewall concerns: these don't affect the claude.ai connector, because Claude connects from Anthropic's servers.

Frequently asked questions

1

Is the Vamos MCP server official?

Yes. Vamos publishes the server at `https://mcp.getvamos.ai/mcp` and documents it on its own MCP page and help center.

2

Is Vamos MCP Server free?

Using it costs no extra. MCP calls draw on your workspace credits at the same rates as in-app chat. Vamos has a free plan with 100 one-time credits and no card. Pro is $29 per month ($351 billed yearly) with 2,000 monthly credits, and Business is $74 per month ($891 billed yearly) with 6,000 monthly credits.

3

Do I need an API key?

No. You sign in to Vamos in a browser tab and approve access, and the client keeps the connection.

4

Which AI clients does it work with?

Vamos gives setup steps for Claude, ChatGPT, Cursor and Manus and mentions Codex. Any MCP client that supports remote Streamable HTTP servers can use the same URL, including Claude Code and VS Code.

5

Which social platforms can it research?

The Vamos MCP page lists TikTok, Instagram, YouTube, Facebook, LinkedIn and X.

6

Does Vamos need access to my social media accounts?

No. You add public handles to research. Vamos doesn't ask you to log in to those accounts or approve permissions on them.

7

Why did a request use credits twice?

Resubmitting a long research request starts a second run, and each run is billed. Wait for the first one to finish.

8

What is the Vamos remote MCP server?

The Vamos remote MCP server is a hosted Model Context Protocol endpoint at https://mcp.getvamos.ai/mcp, so AI assistants can connect to it without installing or running anything locally.

9

How do I connect to the Vamos MCP server?

Add the endpoint https://mcp.getvamos.ai/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.

10

Does the Vamos MCP server require authentication?

Yes. Vamos uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.

11

Which transport does the Vamos MCP server use?

Vamos exposes a streamable-http endpoint, the transport used by remote MCP servers and supported by all major MCP clients.

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