vectora

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.brunosrz/vectora",
  "description": "AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.",
  "repository": {
    "url": "https://github.com/brunosrz/vectora",
    "source": "github"
  },
  "version": "0.1.0rc3",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "vectora-agent",
      "version": "0.1.0rc3",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Google Gemini API key (recommended free-tier LLM provider)",
          "format": "string",
          "isSecret": true,
          "name": "GOOGLE_API_KEY"
        },
        {
          "description": "Cohere API key — required for RAG embeddings and reranking",
          "isRequired": true,
          "format": "string",
          "isSecret": true,
          "name": "COHERE_API_KEY"
        },
        {
          "description": "Tavily API key — required for web search and URL extraction",
          "isRequired": true,
          "format": "string",
          "isSecret": true,
          "name": "TAVILY_API_KEY"
        },
        {
          "description": "OpenAI API key (optional — alternative LLM provider)",
          "format": "string",
          "isSecret": true,
          "name": "OPENAI_API_KEY"
        },
        {
          "description": "Anthropic API key (optional — alternative LLM provider)",
          "format": "string",
          "isSecret": true,
          "name": "ANTHROPIC_API_KEY"
        },
        {
          "description": "LangSmith API key (optional — tracing and observability)",
          "format": "string",
          "isSecret": true,
          "name": "LANGSMITH_API_KEY"
        }
      ]
    }
  ]
}