30 open-source projects similar to zenml-io/mcp-zenml, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
Query OpenAI models directly from Claude using MCP protocol.
Seldon Core is a Kubernetes-based machine learning model server and MLOps inference framework. It functions as a multi-model serving engine and pipeline orchestrator, packaging models as scalable microservices that are exposed via standardized REST and gRPC APIs. The project distinguishes itself through graph-based inference pipelines that chain models and data transformers into sequential workflows. It optimizes hardware utilization via multi-model shared serving and dynamic memory overcommit strategies, while supporting production experimentation through weighted traffic routing, A/B testin
Giving Claude ability to run code with E2B via MCP (Model Context Protocol)
The Creatify MCP Server is a comprehensive Model Context Protocol (MCP) server that exposes the full power of Creatify AI's video generation platform to AI assistants, chatbots, and automation tools. Built on top of the robust @tsavo/creatify-api-ts TypeScript client library, this server…
A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with PiAPI's API. PiAPI makes user able to generate media content with Midjourney/Flux/Kling/LumaLabs/Udio/Chrip/Trellis directly from Claude or any other MCP-compatible apps.
MCP Server for Chronulus AI Forecasting and Prediction Agents
A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Riza offers an isolated code interpreter for your LLM-generated code.
A MCP server for using Semgrep to scan code for security vulnerabilities.
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.
MCP server that exposes YepCode processes as callable tools for AI platforms. Securely connect AI assistants to your YepCode workflows, APIs, and automations.
A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.
Agentset MCP Server - Build RAG with Agentic superpowers
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
An MCP server for interacting with Sentry via LLMs.
:video_game: A curated list of awesome game datasets, and tools to artificial intelligence in games
Netron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders model architectures as interactive node-link diagrams, allowing users to inspect internal layers, tensors, and metadata. By performing static analysis, the tool enables the examination of model definitions without executing the underlying machine learning code. The software distinguishes itself through a schema-driven parsing engine that translates diverse proprietary model formats into a unified internal graph structure. This approach ensures interoperability, allowing users
Magic MCP is a Model Context Protocol server and AI component generator that translates natural language descriptions into functional user interface code. It acts as an LLM design orchestrator, producing responsive web elements and layouts anchored on utility-first CSS styling patterns. The system features a side-by-side variation engine that generates multiple stylistic interpretations of a single prompt for comparative selection. It incorporates SVG-based asset integration for branding and iconography and utilizes template-based assembly to combine pre-defined style patterns with user-speci
MCP Server for using any LLM as a Tool
A MCP server connecting to multiple managed indexes on LlamaCloud
ANEE is an experimental dynamic inference wrapper for pretrained Transformer language models (currently GPT-2). Instead of always running all layers, ANEE exposes an energy_budget and performs early exit inside the model’s forward pass.