@vaaya/mcp
Vaaya MCP server — pay-per-call agent superpowers: media & video generation, product demo videos, web search & scraping, deep/market research, GTM & sales lead…
AI & MLnpx -y @vaaya/mcp{
"mcpServers": {
"vaaya-mcp": {
"command": "npx",
"args": [
"-y",
"@vaaya/mcp"
]
}
}
}@vaaya/mcp is a community MCP server that connects AI assistants like Claude to vaaya mcp server — pay-per-call agent superpowers: media & video generation, product demo videos, web search & scraping, deep/market research, gtm & sales lead…. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.
About @vaaya/mcp
Overview
Vaaya MCP server — pay-per-call agent superpowers: media & video generation, product demo videos, web search & scraping, deep/market research, GTM & sales lead enrichment, code sandboxes, browser automation, email, memory. No API keys.
Links
Topics
mcp, mcp-server, model-context-protocol, modelcontextprotocol, ai-agents, image-generation, video-generation, product-demo, web-scraping, web-search, deep-research, market-research, lead-enrichment, gtm, sales, browser-automation, code-sandbox, agent-payments, x402, micropayments
Who Should Use @vaaya/mcp?
- 1Search and retrieve information using natural language
- 2Analyse and describe images as part of your AI workflow
- 3Chain AI models and pipelines through a unified MCP interface
- 4Let Claude orchestrate other AI tools and models
How to Install @vaaya/mcp
Before you start
You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.
- 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
- 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
- 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.