AI Infrastructure Tools

Run large language models locally on your Mac or Linux

GitHub's official MCP server for connecting agents to GitHub workflows.

Pythonic framework for building MCP servers and clients.

Secure elastic infrastructure for running AI-generated code.

Search, scrape, and clean web data for AI agents.

API gateway providing unified access to 100+ LLMs at competitive prices

Open-source AI models from DeepSeek with remarkable reasoning and coding at competitive cost.

Open-source backend-as-a-service with PostgreSQL database, auth, storage, and vector search for AI apps.

Inference API delivering the fastest LLM responses available, powered by custom LPU chips.

The GitHub of machine learning — hosting 500,000+ AI models, datasets, and Spaces

TypeScript SDK for building AI-powered web applications

Postgres database with built-in vector search for AI apps

Desktop app for downloading and running local LLMs

AI code review bot for GitHub and GitLab

Managed vector database for AI and semantic search

MCP server that provides Figma layout context to AI coding agents.

AI that understands your entire codebase for Q&A and PR review

Data framework for building RAG and LLM applications

Framework for building LLM-powered applications

MCP server for browser automation with Playwright

Open-source MCP server for connecting agents to databases.

Full-stack framework for MCP apps, clients, hosts, gateways, and servers.

CLI proxy for reducing token usage in common AI coding commands.

Build and deploy computer vision models faster with dataset management, training, and deployment tools.

AI data platform for training and RLHF, powering AI development at leading companies.

Flexible multi-type data labeling platform for text, images, audio, video, and time series.

Access Claude's industry-leading AI models via API for building safe and capable AI applications.

Access Mistral's frontier AI models including Mistral Large and open-source weights via API.

Production-grade AI inference platform for open-source models at enterprise speed and scale.

Open-source desktop app for running AI models locally with full privacy.

Free platform for hosting and sharing AI model demos and Gradio/Streamlit applications.

The world's most popular open-source vector database for AI similarity search.

Open-source vector database built in Rust for high-performance AI applications.

Open-source embedding database designed for LLM applications with a simple Python API.

Open-source vector database with hybrid search, GraphQL API, and built-in ML models.

Open-source and API AI models from Alibaba Cloud with strong multilingual and coding capabilities.

Microsoft's family of small language models offering great capability in compact, efficient packages.

Lightweight, open AI models from Google built on Gemini research for responsible development.

Serverless GPU platform for running image, video, and audio AI models at production speed.

AWS's comprehensive machine learning platform for building, training, and deploying ML models.

Run Python functions with GPU on demand—perfect for AI model training and inference.

Google Cloud's managed AI platform for building and deploying ML models and LLM-based applications.

Deploy OpenAI models including GPT-4 and DALL-E with Azure's enterprise security and compliance.

Access leading foundation models from AI companies through a single AWS API with enterprise security.

AI inference at 1000+ tokens/second with custom wafer-scale chip technology.

Atlassian Intelligence in Jira automates ticket creation, summarizes issues, and accelerates development workflows.

Observability and security platform with AI-powered anomaly detection and root cause analysis.

Full-stack observability with AI-powered root cause analysis and anomaly detection.

Serverless MySQL database with branching, non-blocking schema changes, and AI query optimization.

Serverless PostgreSQL database with autoscaling, database branching, and generous free tier.

Build, test, and document APIs with AI assistance in the world's most popular API platform.

Low-code AI-powered test automation for web applications with auto-healing tests.

Test websites and apps across 3000+ browsers and devices with AI-powered testing tools.

Catch visual regressions and UI bugs automatically with AI-powered visual testing.

Modern terminal with built-in AI that explains errors, generates commands, and understands your codebase.

Python framework for building production-ready NLP and LLM applications with RAG and agents.

MLOps platform for experiment tracking, model management, and LLM fine-tuning

Open-source ML lifecycle management for experiment tracking and deployment

High-speed inference cloud for open-source AI models

LLM development platform for testing, debugging, and monitoring AI chains

Serverless compute platform for Python with GPU support and instant scaling

A modern, GPU-accelerated terminal with built-in AI that answers questions, suggests commands, and debugs errors inline.

A blazingly fast macOS launcher with an AI assistant built in. Control your tools, snippets, and scripts from one place.

Unified API documentation browser covering 700+ libraries. Works offline and is completely free and open source.

Cloud platform for running open-source AI models via simple API

Simple open-source vector database for LLM applications

Trace, monitor, and debug LLM applications in production with open-source observability.

Interactive web playground for testing and prototyping with GPT-4, DALL-E, and other OpenAI models.

Compare and evaluate LLM prompts and models side-by-side from Scale AI.

Open-source observability platform for LLM applications with cost tracking and caching.

Turn Python scripts into shareable web applications for data science and AI in minutes.

Create technical diagrams, ERDs, sequence diagrams, and architecture docs with AI from text.

Evaluate, test, and improve LLM applications with a comprehensive evaluation platform.

Track, manage, and improve prompts across your LLM application development lifecycle.

Official Supabase MCP server. Query your Postgres database, manage tables, and run migrations directly from Claude or your AI editor.

Official Linear MCP server. Create issues, update statuses, search projects, and manage your engineering backlog through AI.

Official Notion MCP server. Read, create, and update Notion pages and databases from Claude and compatible AI tools.

MCP server for PostgreSQL. Run queries, inspect schemas, and manage your Postgres database through any MCP-compatible AI client.