iron-manus-mcp
Verified Safeby dnnyngyen
Overview
Orchestrates AI workflows with an 8-phase control flow and focused tools, acting as a Model Context Protocol (MCP) server for complex project management.
Installation
docker-compose up -dEnvironment Variables
- KNOWLEDGE_MAX_CONCURRENCY
- KNOWLEDGE_TIMEOUT_MS
- KNOWLEDGE_CONFIDENCE_THRESHOLD
- KNOWLEDGE_MAX_RESPONSE_SIZE
- AUTO_CONNECTION_ENABLED
- RATE_LIMIT_REQUESTS_PER_MINUTE
- RATE_LIMIT_WINDOW_MS
- MAX_CONTENT_LENGTH
- MAX_BODY_LENGTH
- VERIFICATION_COMPLETION_THRESHOLD
- EXECUTION_SUCCESS_RATE_THRESHOLD
- INITIAL_REASONING_EFFECTIVENESS
- MIN_REASONING_EFFECTIVENESS
- MAX_REASONING_EFFECTIVENESS
- ALLOWED_HOSTS
- ENABLE_SSRF_PROTECTION
- USER_AGENT
- NODE_ENV
- DEBUG_LOAD
Security Notes
The server demonstrates strong security practices including explicit Server-Side Request Forgery (SSRF) protection with allowlists, robust input validation using Zod schemas, and a Python code validator to sanitize user-provided scripts, mitigating common injection risks. It relies on environment variables for configuration, avoiding hardcoded secrets, and includes a runtime protection mechanism to remove legacy, potentially insecure JSON files. The inherent risk of executing arbitrary (albeit sanitized) Python code and making external API calls is managed but cannot be entirely eliminated.
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