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VideoVector MCP Server

Local
@VectorMethodsMedia & Design

About VideoVector MCP Server

Model Context Protocol server for the VectorMethods VideoVector media intelligence API

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "vectormethods-videovector": {
      "command": "npx",
      "args": [
        "-y",
        "@vectormethods/videovector-mcp-server"
      ],
      "env": {
        "VIDEOVECTOR_API_KEY": "<VIDEOVECTOR_API_KEY>",
        "VIDEOVECTOR_BASE_URL": "<VIDEOVECTOR_BASE_URL>",
        "VIDEOVECTOR_TIMEOUT": "<VIDEOVECTOR_TIMEOUT>",
        "VIDEOVECTOR_MAX_RETRIES": "<VIDEOVECTOR_MAX_RETRIES>"
      }
    }
  }
}
Run commandnpx -y @vectormethods/videovector-mcp-server
Environment variables to set
VIDEOVECTOR_API_KEYSecretVideoVector production API key.
VIDEOVECTOR_BASE_URLVideoVector API base URL.
VIDEOVECTOR_TIMEOUTPer-request timeout in milliseconds.
VIDEOVECTOR_MAX_RETRIESMaximum retry count for retryable API failures.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@vectormethods/videovector-mcp-server5.0.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.