Supporting infrastructure for people who write software, rather than the application itself, is what this category holds.
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A multi-model LLM orchestration API that compares, blends, and routes prompts across 30+ models with cost and latency metrics.
Runs private AI models entirely on a user’s Mac without cloud dependency
Rapidly prototype, debug, and deploy web applications on a reliable cloud-hosting platform.
Policy guardrails for AI coding sessions to control spend before it occurs
AI-powered integrated development environment for building applications
Unified API gateway for multiple AI models with discounted pricing
Trains AI coding agents on real project code with manual verification
Codebase intelligence platform that maps dependencies and simulates change impacts
Platform for chemistry and materials R&D that turns lab data into predictive models with uncertainty estimates
Desktop proxy that scans MCP traffic in AI apps like Cursor and VS Code to detect and block security threats in real time.
An open-source MCP server that lets assistants connect to Neo4j, inspect schemas, run queries, and manage records in real time.
MCP Notion Server connects Notion to Cursor, Claude Desktop, and Windsurf via the MCP protocol.
Turns REST APIs into secure, production-ready MCP servers
Inspect, read, write, and debug Redis keys and cache state in real time via MCP.
HTTP wrapper for managing a US Global Mail mailbox via AI coding agents
TypeScript starter kit for production-grade MCP servers with auth, rate limits and Cloudflare deploy
Open-source MCP server that connects Supabase to Cursor, Claude Desktop, and Windsurf for database interactions.
Converts MCP tools into on-demand Skills to reduce context load
Browse, search, and submit MCP servers in the largest directory with over 9,000 servers for AI development and exploration.
Analytics for MCP servers showing tool usage, failures and schema costs
Records and enforces corrections in code repositories to prevent regression
Persistent contextual memory layer for production AI systems
Design, integrate, and leverage powerful AI models for applications with comprehensive training and support.
Native desktop app for AI-assisted pull request review
Unified workspace connecting multiple AI models with shared memory and context
Create accurate deep learning models quickly, simplify development process, and utilize powerful algorithms.
Compact language models optimized for low latency, cost, and memory, deployable on Azure or locally via ONNX Runtime for chat, summarization, and retrieval applications.
Local-first workflow runtime for repository-aware coding tasks with configurable checks
OpenAI-compatible gateway for routing, budgeting and monitoring AI model traffic
Turns a local GPU machine into a remotely accessible OpenAI-compatible API endpoint
Open registry indexing foundation models and research checkpoints with API access
Local-first vault and tools for managing API keys and AI agents on macOS
Terminal-based AI coding agent that reads, edits and runs code with user-controlled permissions
MongoDB MCP lets assistants browse collections, run aggregations, and inspect documents directly in MongoDB databases.
Design and deploy ML models with an intuitive UI, tutorials, and automated deployment for quick and easy setup.
Offline code security and compliance auditor for Apple Silicon
