pipelex-mcp
Verified Safeby Pipelex
Overview
Enables AI agents to build and execute Pipelex pipelines from natural language descriptions via the Model Context Protocol (MCP).
Installation
uv --directory /absolute/path/to/pipelex-mcp run python -m server.mainEnvironment Variables
- PIPELEX_INFERENCE_API_KEY
- OPENAI_API_KEY
- AWS_ACCESS_KEY_ID
- PIPELEX_MCP_LOG
- PIPELEX_MCP_LOG_FILE
Security Notes
The server's direct code doesn't contain obvious `eval` or `exec` vulnerabilities. File operations for saving generated PLX content and pipeline outputs are confined to a specific `results/mcp` directory, limiting arbitrary file write risks. The primary security consideration lies with the inherent nature of allowing AI agents to generate and execute pipeline code (PLX), as a compromised agent could potentially construct and run unintended or malicious workflows if the underlying `pipelex` core library lacks sufficient sandboxing or validation for generated code. API keys are handled via environment variables, which is standard practice.
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