Spanly vs TensorSharp

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you...

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

About Spanly

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you already run. That's how it can tell you a tool name is why agents pick the wrong tool, or a schema is why they pass bad arguments, not just that p95 moved. Health monitors connect to your MCP servers on a schedule, list their tools, prompts and resources, and alert your channels when a server goes down.

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.