# Augmented-Nature/BioOntology-MCP-Server > Unofficial MCP server exposing the BioOntology API for searching, annotating, and exploring 1,200+ biological ontologies. It lets MCP-compatible clients like Claude Desktop work with biomedical ontology data. - Magnitude: 0.0 out of 10 — Quiet - Stars: 10 total · Not enough measurements today - Star trust: star growth looks organic - Category: Language models · Language: JavaScript · Created: 2025-06-06 · Last push: 2025-12-21 - GitHub: https://github.com/Augmented-Nature/BioOntology-MCP-Server · Page: https://gitnova.dev/en/r/Augmented-Nature/BioOntology-MCP-Server ## Useful for - Search ontology terms with filters across NCIT or DOID - Annotate clinical text and extract matching ontology terms - Get ontology recommendations for a set of keywords ## Why it’s here - There are not enough fresh counter measurements for today's UTC day. The gain is unknown. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 2 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 0 per day - Usual pace: 0 per day ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-09-25 … 2026-10-24: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, None, None, None, None, None, None ## Magnitude by day, last 10 days 10-15 0.0, 10-16 0.0, 10-17 0.0, 10-18 0.0, 10-19 0.0, 10-20 0.0, 10-21 0.0, 10-22 0.0, 10-23 0.0, 10-24 0.0 ## More in this category 1. **deepseek-ai/DeepInfer** — 7.2 · Cooling · Language models · Python · +636 stars measured 2026-10-24, 00:03–18:40 UTC, ≈ 822 by evening Offline inference framework for running DeepSeek models at large scale: optimized kernels, MoE/Attention parallelism, deterministic sampling and structured outputs. Aimed at teams deploying DeepSeek-V4.1-Flash on NVIDIA SM100 or Huawei… Full card: https://gitnova.dev/en/r/deepseek-ai/DeepInfer.md 2. **Niko1221/Strata** — 4.5 · Steady · Language models · C++ · +686 stars measured 2026-10-24, 00:04–18:41 UTC, ≈ 860 by evening A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost. Full card: https://gitnova.dev/en/r/Niko1221/Strata.md 3. **google-pytorch/torch_tpu** — 4.4 · Early signal · Language models · C++ · +14 stars measured 2026-10-24, 00:03–18:41 UTC, ≈ 19 by evening TorchTPU is a PyTorch backend for Google TPUs that lets you run PyTorch models and operations on TPU devices, with custom ATen kernels, an XLA compilation cache, and distributed training support. Full card: https://gitnova.dev/en/r/google-pytorch/torch_tpu.md 4. **Edge0-AI/Edge0** — 4.4 · Steady · Language models · Python · +228 stars measured 2026-10-24, 00:04–18:41 UTC, ≈ 289 by evening An open-source streaming MoE inference framework: expert weights are offloaded from SSD on demand while a trained prerouter predicts routing ahead of time. Runs on Apple Silicon via MLX and ships with two ready-to-run model tiers (35B and… Full card: https://gitnova.dev/en/r/Edge0-AI/Edge0.md 5. **mw00/project-maya** — 3.9 · Peaking · Language models · C++ · +91 stars measured 2026-10-24, 00:05–18:42 UTC, ≈ 118 by evening Local engine, server and dashboard to run the 321B MoE model GLM-5.3-Flash on one or two NVIDIA GPUs, offloading experts to RAM and NVMe. Full card: https://gitnova.dev/en/r/mw00/project-maya.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-24 18:51 UTC, updated every 30 minutes.