From 905d2cccb395b6ec12615a76a8944eda8064541d Mon Sep 17 00:00:00 2001 From: Chris Date: Wed, 7 Oct 2026 11:22:18 +1000 Subject: [PATCH] Add TensorLink-AI/ephemeris-mcp (time-series forecasting) --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a7ac904c1..7f204afcf 100644 --- a/README.md +++ b/README.md @@ -1838,6 +1838,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [reading-plus-ai/mcp-server-data-exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration) 🐍 ☁️ - Autonomous data exploration of CSV datasets with generated insights. - [ShipItAndPray/mcp-compress](https://github.com/ShipItAndPray/mcp-compress) [![ShipItAndPray/mcp-compress MCP server](https://glama.ai/mcp/servers/ShipItAndPray/mcp-compress/badges/score.svg)](https://glama.ai/mcp/servers/ShipItAndPray/mcp-compress) 📇 🏠 ☁️ 🍎 🪟 🐧 - Data compression with gzip, Brotli, deflate and TurboQuant quantization, with automatic algorithm selection. - [ShipItAndPray/mcp-turboquant](https://github.com/ShipItAndPray/mcp-turboquant) [![ShipItAndPray/mcp-turboquant MCP server](https://glama.ai/mcp/servers/ShipItAndPray/mcp-turboquant/badges/score.svg)](https://glama.ai/mcp/servers/ShipItAndPray/mcp-turboquant) 📇 🏠 🍎 🪟 🐧 - LLM quantization: convert models to GGUF, GPTQ and AWQ, recommend quantization settings, evaluate quality and push to Hugging Face Hub. +- [TensorLink-AI/ephemeris-mcp](https://github.com/TensorLink-AI/ephemeris-mcp) [![TensorLink-AI/ephemeris-mcp MCP server](https://glama.ai/mcp/servers/TensorLink-AI/ephemeris-mcp/badges/score.svg)](https://glama.ai/mcp/servers/TensorLink-AI/ephemeris-mcp) 🎖️ 📇 ☁️ 🍎 🪟 🐧 - Probabilistic time-series forecasting: quantile forecasts from Chronos-2, TimesFM 2.5, Toto 2, TiRex-2 and IBM Granite foundation models, routed to one model, named explicitly, or ensembled. Remote server with an npm stdio bridge. - [98lukehall/renoun-mcp](https://github.com/98lukehall/renoun-mcp) [![renoun-mcp MCP server](https://glama.ai/mcp/servers/@98lukehall/renoun-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@98lukehall/renoun-mcp) 🐍 ☁️ - Structural observability for AI conversations: detects loops, stuck states, breakthroughs and convergence without analyzing content. - [subelsky/bundler_mcp](https://github.com/subelsky/bundler_mcp) 💎 🏠 - Query local information about dependencies in a Ruby project's Gemfile. - [zcaceres/markdownify-mcp](https://github.com/zcaceres/markdownify-mcp) 📇 🏠 - Convert almost any file or web content into Markdown.