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Model Context Protocol server for the VectorMethods VideoVector media intelligence API.
VideoVector MCP Server is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding VideoVector MCP Server to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
npx -y @vectormethods/videovector-mcp-server@5.0.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-23T01:49:08.674339Z",
"publishedAt": "2026-10-23T01:49:08.674339Z",
"statusChangedAt": "2026-10-23T01:49:08.674339Z"
}
},
"server": {
"name": "io.github.VectorMethods/videovector-mcp-server",
"title": "VideoVector MCP Server",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "5.0.0",
"packages": [
{
"version": "5.0.0",
"transport": {
"type": "stdio"
},
"identifier": "@vectormethods/videovector-mcp-server",
"registryType": "npm",
"environmentVariables": [
{
"name": "VIDEOVECTOR_API_KEY",
"format": "string",
"isSecret": true,
"isRequired": true,
"description": "VideoVector production API key."
},
{
"name": "VIDEOVECTOR_BASE_URL",
"format": "string",
"default": "https://api.vectormethods.com/api/v2",
"description": "VideoVector API base URL."
},
{
"name": "VIDEOVECTOR_TIMEOUT",
"format": "number",
"default": "90000",
"description": "Per-request timeout in milliseconds."
},
{
"name": "VIDEOVECTOR_MAX_RETRIES",
"format": "number",
"default": "3",
"description": "Maximum retry count for retryable API failures."
}
]
}
],
"description": "Model Context Protocol server for the VectorMethods VideoVector media intelligence API."
}
}