Machine learning MCP servers

A server here trains, fine-tunes, evaluates or hosts machine learning models.

Not here: servers that merely use AI to do something else.

463servers
239 remote224 localTagged by Odel's AI, which can make mistakes
By GitHub stars, at most two per publisher
  1. Number 1: FunASR@modelscope/funasr-mcpTranscribe local audio with FunASR and SenseVoice using private, on-device inference.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.20,637 GitHub stars.
  2. Number 2: Pollinations@pollinations/pollinationsAccess Pollinations models and API capabilities through agent tools.Not assessed yet.A remote server; it needs your API key.5,183 GitHub stars.
  3. Number 3: AutoTS@winedarksea/autotsAutomated time series forecasting with model search, anomaly detection, and event risk analysis3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.1,430 GitHub stars.

Best fit

247 made for this, ranked by starsRemoteLocal
  1. GoModel @enterpilot/gomodelSelf-hosted gateway aggregating upstream MCP servers behind one authenticated HTTP endpoint.15% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.1,228 GitHub stars.
  2. Ruv Swarm @ruvnet/ruv-swarmNeural network swarm orchestration with WebAssembly acceleration and MCP integration6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.381 GitHub stars.
  3. Opik @comet-ml/opik-mcpRead and score Opik traces, experiments, datasets and prompts from your AI assistant.3% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; you sign in with your account.220 GitHub stars.
  4. AISIX AI Gateway @api7/aisixSelf-hosted AI gateway that governs MCP servers, LLM traffic, and A2A agents behind one endpoint3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.184 GitHub stars.
  5. Evalview @hidai25/evalview-mcpRegression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.137 GitHub stars.
  6. freellmpool @0xzr/freellmpoolOpenAI-compatible MCP gateway cataloging 22 LLM providers, with routing, failover, and tools.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.122 GitHub stars.
  7. SAS Viya @sassoftware/sas-mcp-serverExecute SAS code and query Compute, CAS, and model APIs on SAS Viya via OAuth 2.0.3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.64 GitHub stars.
  8. ZenML @zenml-io/mcp-zenmlMCP server for discovering, reading, and changing ZenML resources with compact generic tools3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.49 GitHub stars.
  9. WaveSpeed MCP @wavespeed/mcpRun any model on the live WaveSpeed catalog: image, video, audio, 3D.4% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.34 GitHub stars.
  10. Replicate @mcparmory/replicateRun AI models, create deployments, and manage predictions via cloud API6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.32 GitHub stars.
  11. Stats Compass @oogunbiyi21/stats-compass50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows7% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; you sign in with your account.17 GitHub stars.
  12. Jev-Style @lawrence3699/jev-styleLocal 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent.6% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.16 GitHub stars.
  13. RAGScore @hzyai/ragscoreGenerate QA datasets & evaluate RAG systems with failure diagnosis. Any LLM.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.15 GitHub stars.
  14. AutoCarver @mdefrance/autocarverQualify dataset columns and process them against a target with AutoCarver, fully on your machine.7% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.11 GitHub stars.
  15. Ultralytics Platform MCP @amanharshx/ultralytics-mcpMCP server for Ultralytics Platform projects, datasets, training, prediction, exports, and models.5% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.10 GitHub stars.
  16. Vmanomaly @victoriametrics-community/mcp-vmanomalyMCP Server for vmanomaly - VictoriaMetrics anomaly detection3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.10 GitHub stars.
  17. Colab Exec @pdwi2020/mcp-server-colab-execExecute Python code on Google Colab GPU runtimes (T4/L4) from any MCP client9% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from PyPI.9 GitHub stars.
  18. Vmanomaly @victoriametrics/mcp-vmanomalyMCP Server for vmanomaly - VictoriaMetrics anomaly detection3% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from Docker.9 GitHub stars.
  19. FitLLM @fitllm/fitllmWill this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only.3% chance this is malicious. Assessed by AI, which can make mistakes.A remote server; no sign-in.8 GitHub stars.
  20. Metrillm @metrillm/metrillmBenchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client7% chance this is malicious. Assessed by AI, which can make mistakes.Runs on your machine, installed from npm.8 GitHub stars.
  21. Nonobench @mauricekleine/nonobenchAn open-source benchmark of how well LLMs solve nonogram puzzles, from 5x5 to 20x20.Not assessed yet.A remote server; no sign-in.7 GitHub stars.

Also touches on Machine learning

183 where it is one part of a bigger job