mcpField
V

vincikit

Local
github.com/idoco2003AI & Agents
Repository

About vincikit

AI stack configurator with conversational interviews and intelligent recommendations

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "idoco2003-vincikit": {
      "command": "npx",
      "args": [
        "-y",
        "@vincikit/mcp-server"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
        "GEMINI_API_KEY": "<GEMINI_API_KEY>"
      }
    }
  }
}
Run commandnpx -y @vincikit/mcp-server
Environment variables to set
ANTHROPIC_API_KEYSecretAnthropic API key for Claude recommendations
GEMINI_API_KEYSecretGoogle API key for Gemini recommendations

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@vincikit/mcp-server2.0.0

Tools

12

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
goalstringYesWhat the user wants to build or achieve (e.g., "I want to build a drone that detects weeds in my farm")

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.