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multi_mcp

Verified Safe

by religa

Overview

A multi-model AI orchestration server providing automated code review, security analysis, and general LLM-powered assistance through the Model Context Protocol (MCP).

Installation

Run Command
uv run python -m multi_mcp.server

Environment Variables

  • OPENAI_API_KEY
  • ANTHROPIC_API_KEY
  • GEMINI_API_KEY
  • OPENROUTER_API_KEY
  • AZURE_API_KEY
  • AZURE_API_BASE
  • AZURE_API_VERSION
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_REGION_NAME
  • DEFAULT_MODEL
  • DEFAULT_MODEL_LIST
  • LOG_LEVEL
  • MODEL_TIMEOUT_SECONDS
  • MAX_FILES_PER_REVIEW
  • MAX_FILE_SIZE_KB
  • MAX_CODEREVIEW_RESPONSE_SIZE
  • ARTIFACTS_DIR

Security Notes

The core codebase does not contain overt malicious patterns or hardcoded production secrets. It employs careful path resolution to prevent traversal attacks. The server leverages subprocess execution for CLI models, which is handled with timeout mechanisms and checks for command existence, generally avoiding `shell=True` for safer input handling. Its primary function is to *detect* security issues, reflecting a security-aware design. The "vulnerabilities" mentioned in the README are intentionally vulnerable test cases from the `tests/data/repos/sql_injection` directory, designed to test the Multi-MCP server's detection capabilities, and are not flaws within the Multi-MCP server's own code.

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Stats

Interest Score33
Security Score8
Cost ClassHigh
Avg Tokens25000
Stars12
Forks1
Last Update2026-01-02

Tags

ai-agentscode-reviewsecurity-analysisllm-orchestrationmulti-model