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Vectora MCP Server

by Brunosrz
AI & MLUse Caution3.2MCP RegistryLocal
Free

Server data from the Official MCP Registry

AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.

About

AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.

Security Report

3.2
Use Caution3.2High Risk

Vectora is an AI assistant MCP server with reasonable security practices but several concerns. The codebase properly manages API keys through environment variables and avoids hardcoding credentials. However, there are notable issues: broad subprocess execution capabilities without input sanitization in terminal tools, potential path traversal risks in file operations, missing rate limiting on API calls, and overly permissive error handling that could leak sensitive information. The permissions are appropriate for the stated RAG/coding use case, but the implementation has gaps in input validation and security controls. Supply chain analysis found 16 known vulnerabilities in dependencies (1 critical, 10 high severity). Package verification found 1 issue.

3 files analyzed · 26 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

file_system

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

database

Check that this permission is expected for this type of plugin.

process_spawn

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

Google Gemini API key (recommended free-tier LLM provider)Required

Environment variable: GOOGLE_API_KEY

Cohere API key — required for RAG embeddings and rerankingRequired

Environment variable: COHERE_API_KEY

Tavily API key — required for web search and URL extractionRequired

Environment variable: TAVILY_API_KEY

OpenAI API key (optional — alternative LLM provider)Required

Environment variable: OPENAI_API_KEY

Anthropic API key (optional — alternative LLM provider)Required

Environment variable: ANTHROPIC_API_KEY

LangSmith API key (optional — tracing and observability)Required

Environment variable: LANGSMITH_API_KEY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-brunosrz-vectora": {
      "env": {
        "COHERE_API_KEY": "your-cohere-api-key-here",
        "GOOGLE_API_KEY": "your-google-api-key-here",
        "OPENAI_API_KEY": "your-openai-api-key-here",
        "TAVILY_API_KEY": "your-tavily-api-key-here",
        "ANTHROPIC_API_KEY": "your-anthropic-api-key-here",
        "LANGSMITH_API_KEY": "your-langsmith-api-key-here"
      },
      "args": [
        "vectora-agent"
      ],
      "command": "uvx"
    }
  }
}

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Vectora MCP Server - AI assistant with RAG, web search, filesystem and memory. | MCP Marketplace