Anthropic's Model Context Protocol (MCP) is an open standard that enables AI agents to interact with external systems such as Kubernetes clusters, observability stacks, and ticketing systems, addressi…
A developer successfully wired a local MCP server into Claude Code, enabling the AI client to directly query a Chroma-based notes index via the today-i-ran-notes server. During testing, the tool accur…
Chunking a long document into 17 overlapping pieces before embedding introduced a retrieval bias: a document split into 17 chunks now has 17 separate entries competing for top-N results, giving it mor…
A developer built a local embeddings pipeline using Ollama's nomic-embed-text model, ChromaDB, and Python, embedding local files and a live URL for semantic search. The pipeline encountered a context …
Red Hat shipped an OpenShift diagnostic MCP server, mcp-sre-tools, as read-only by design, with nine diagnostic tools and no write tools, after finding that RBAC alone cannot safely enable agentic rem…
Ollama's llama3.2:3b model consumes 2.5 GB of memory (2.47 GB RSS) versus 1.5 GB (1.24 GB RSS) for the 1b model, showing that tripling parameters roughly doubles memory footprint. The test also reveal…