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Design and validate model routing strategies that reduce cost and latency while preserving output quality.

Claude Code statusline that prints the current model label, provider label, and optional routing hint from local statusline input.

Claude Code statusline that detects model switches between Opus, Sonnet, and Haiku — shows current tier, total session switch count, and the last few model transitions inline.

Secure MCP servers with strict tool boundaries, auth controls, dependency hygiene, and abuse-resistant runtime policies.

Run AI inference and serverless functions on Cloudflare Workers AI: call hosted models like Llama, Whisper, and Stable Diffusion through the Workers AI binding, deploy with wrangler, and use D1/R2/KV storage plus the free daily Neuron allocation.

MCP server that generates production-ready visual assets by routing requests across 30+ image generation models. Handles app icons, favicons, OG images, logos, and wordmarks. Validates output for WCAG contrast and palette consistency. Zero API key required for first run via Pollinations and Stable Horde free tiers.

Lightweight open-source serving framework for building custom AI model inference APIs by defining a LitAPI with setup and predict methods, with batching, streaming, multi-GPU autoscaling, OpenAI-compatible endpoints, and support for compound, multimodal, RAG, and agent pipelines.

Hosted streamable-HTTP MCP server that exposes inference.sh platform tools for running apps, managing tasks, proxying external MCP connectors, and calling hundreds of hosted AI models from Claude Code, Cursor, and other MCP clients.

Official AWS Labs developer-experience MCP server for Amazon DynamoDB that provides expert data-modeling guidance, model validation against DynamoDB Local, source-database analysis, schema conversion, and CDK generation.

Local-first AccInt MCP server that gives Claude a scored Work Model through `acc_retrieve` and `acc_act`, so agent work can compound from real outcomes while the `acc.db` substrate stays on the user's machine.

Local-first AI application for private chat, document RAG, workspace agents, MCP-compatible tools, model routing, memories, scheduled tasks, multimodal workflows, multi-user Docker deployments, and self-hosted agent automation.

ARIS is a Markdown-only skill workflow pack for autonomous ML research agents, with idea discovery, experiment planning, auto-review loops, paper writing, rebuttal, resubmission, slides, posters, Research Wiki, and cross-model reviewer workflows for Claude Code, Codex, OpenClaw, Cursor, and other agent hosts.

Cross-platform AI desktop client with multiple LLM providers, local model support, 300+ assistants, document and image handling, WebDAV backup, MCP server support, mini programs, and enterprise deployment options.

Production-ready LLM app and agentic workflow platform with visual workflows, RAG pipelines, agent capabilities, model management, observability, prompt IDE, APIs, Dify Cloud, and self-hosted Docker Compose deployment.

Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.

Hugging Face Python agent library for CodeAgent and ToolCallingAgent workflows, where agents write Python actions, call tools, use MCP tool collections, connect to Hub tools and spaces, run with LiteLLM or local models, and use optional sandboxes.

Open-source agent engineering framework for building LLM applications with agents, model abstractions, tools, middleware, RAG, streaming, memory, MCP adapters, LangGraph-backed execution, and LangSmith observability hooks.

Self-hostable AI agent workspace formerly known as LobeChat, with agent builder, agent groups, personal memory, model-provider routing, skills, MCP-compatible plugins, Docker deployment, Vercel deployment, and IM gateway workflows.

Official C# SDK for Model Context Protocol servers and clients, maintained by the MCP project in collaboration with Microsoft, with NuGet packages for core MCP APIs, hosting and dependency injection extensions, ASP.NET Core HTTP servers, samples, API documentation, and cross-application access support.

Official Go SDK for Model Context Protocol servers and clients, maintained by the MCP project in collaboration with Google, with packages for MCP, JSON-RPC, OAuth primitives, OAuth protected-resource metadata, clients, servers, transports, examples, and conformance work.

Official TypeScript SDK for Model Context Protocol clients and servers, with the production v1 `@modelcontextprotocol/sdk` package, active v2 server and client package work, Node.js, Bun, and Deno support, transports, OAuth helpers, tools, resources, prompts, examples, and API documentation.

Self-hosted AI platform and web UI for Ollama, OpenAI-compatible APIs, RAG, Python function tools, model builder workflows, artifacts, web search, vector databases, enterprise auth, observability, plugins, and MCP-adjacent OpenAPI integrations.

Analyze distributed traces and LLM observability data from Claude — search traces and spans, find errors, list services, analyze LLM token usage, identify slow LLM operations, and discover AI model usage patterns — with the OpenTelemetry MCP server supporting Jaeger, Grafana Tempo, and Traceloop backends.

Open-source Python and TypeScript SDK for building model-driven AI agents with any model provider, MCP tools, streaming, multi-agent patterns, structured output, observability, hooks, guardrails, and production deployment guidance.

Community reusable agent prompt for operating Claude Code on Amazon Bedrock using official setup docs: IAM credential chains, regional model IDs, inference profiles, enterprise network config, quota errors, and Bedrock-specific troubleshooting steps.

Official Auxen.ai remote MCP server for listing GPU models and instances, checking account balance, and provisioning or destroying inference instances from Claude via OAuth 2.1 or API keys.

Official CircleCI MCP server that lets LLMs query build and test failures, detect flaky tests, check pipeline status, fetch build logs, and validate config in CircleCI through natural language.

Browser-control MCP server and CLI that lets AI agents use a real Chrome session, including logged-in browser state, site adapters, DOM snapshots, authenticated fetches, network traces, screenshots, and page actions.

Django extension that exposes MCP endpoints and stdio transport for Django apps, with declarative model query tools, custom toolsets, DRF create/list/ update/delete tool publishing, serializer output, and MCP inspection.

Terminal-based agentic AI coding assistant from Charm that works with many LLM providers, uses LSP and MCP for context, manages per-project sessions, and asks permission before running tools by default.