onemcp
Verified Safeby rifkimaulana05
Overview
Connects APIs to AI models using the Model Context Protocol (MCP), generating and caching execution plans for natural-language prompts to ensure accurate, cost-efficient, and high-performance API interaction for AI agents.
Installation
docker run -p 8080:8080 admingentoro/gentoro:latestEnvironment Variables
- OPENAI_API_KEY
- ANTHROPIC_API_KEY
- GEMINI_API_KEY
- ARANGODB_PASSWORD
- GRAPH_INDEXING_ENABLED
- SERVER_PORT
- JAVA_OPTS
- APP_ARGS
- OTEL_CONFIG
- OTEL_EXPORTER_OTLP_ENDPOINT
- BUILD_VERSION
Security Notes
The core Java application utilizes standard libraries for JSON parsing and network requests, avoiding direct 'eval' or dangerous runtime execution from untrusted input. Secrets (like API keys) are configured via environment variables or external configuration, a good practice. However, the default ArangoDB root password of 'test123' in local development scripts and Docker entrypoint presents a significant security risk if not changed in production deployments. The Docker 'entrypoint.sh' allows execution of arbitrary commands passed to the container, which is standard Docker behavior but could be misused in an uncontrolled environment.
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