Vee3 MCP Server

Vee3 MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Hosted MCP with 78 agent tools: X, domains, SEO, Trends, YouTube, TikTok, screenshots, and more.

What you get

Website: https://vee3.io Vee3 connects AI agents to a hosted catalog of live data and action tools through one MCP server at https://mcp.vee3.io/mcp. Use it for market research, due diligence, competitive analysis, and fact-heavy tasks without leaving your editor.

Setting it up

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

Configuration and credentials

You will need one environment variable: VEE3_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by Vee3io; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

• Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the vee3 mcp server does with a few real requests.