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A collection of MCP servers.
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The fastest path to AI-powered full stack observability, even for lean teams.
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
eBPF agent and MCP server for GPU causal observability
MCP server for spatial transcriptomics analysis through natural language interfaces.
MCP server for real-time news with bias scoring, live stock/ETF/crypto data, AI options pricing, balanced news synthesis, and meme search. 10 tools, 5000+ sources, free tier.
The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.
CLI & MCP server for Tuning Engines — fine-tune LLMs on code repositories
Python SDK for WaveGuard physics-based anomaly detection API. One call. Any data.