paiml-mcp-agent-toolkit
Verified Safeby paiml
Overview
Provides a high-performance Model Context Protocol (MCP) server that acts as a toolkit for AI agents, offering a comprehensive suite of tools for code analysis, refactoring, quality gates, technical debt grading, and project context generation to enable automated fixes and quality-driven development.
Installation
PMAT_PMCP_MCP=1 pmatEnvironment Variables
- PMAT_PMCP_MCP (Set to '1' to enable the MCP server mode for the `pmat` executable.)
- RENACER_LAMPORT_CLOCK (Used by the Renacer performance testing framework, not a core server runtime dependency.)
- GITHUB_TOKEN (Potentially required for GitHub API interactions, though not explicitly shown as a hard requirement in the provided snippets.)
- OPENAI_API_KEY (May be required if semantic search or embedding functionalities that rely on OpenAI services are utilized.)
Security Notes
The server leverages Rust's type safety and `PathBuf` for file operations, reducing direct shell injection risks. External commands like `cargo clippy` and `git` are invoked with explicit arguments and working directories. `installer.sh` uses `sha256sum` for integrity verification. Potential indirect risks include exploitation if analyzing a malicious project (e.g., via `.cargo/config.toml` in `cargo clippy` context) or fetching untrusted code via `git_clone`. No hardcoded secrets are visible in the provided code snippets. Overall, good practices are followed, but reliance on external tool invocation always carries inherent contextual risks.
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