An official remote MCP server maintained by the Neon team, allowing users to manage Neon Postgres databases, execute queries, and explore schemas via natural language directly in their IDEs.
A unified MCP runtime that aggregates multiple upstream MCP servers into a single entry point, offering CLI, stdio proxy, and native Streamable HTTP access.
The official Rust SDK for the Model Context Protocol, providing both client and server implementations with full support for Tools, Resources, Prompts, Sampling, OAuth, and more.
An official Google-maintained MCP server collection that allows AI assistants to manage Google Cloud resources, query observability data, and operate storage buckets via natural language.
A tool-use-focused LLM plugin for Neovim featuring agentic workflows, OS-level sandboxing, and multi-tier agent orchestration.
The official Python SDK for the Model Context Protocol, providing a declarative FastMCP framework for building standardized MCP servers and clients.
An official Datadog CLI tool optimized for AI Agents, featuring 200+ commands across 33+ products, structured output, Runbooks automation, and WASM execution.
A vLLM-style inference server for Apple Silicon with a native MLX backend, exposing both OpenAI and Anthropic compatible APIs in a single process, featuring multimodal unified serving, continuous batching, paged KV cache, and SSD-tiered caching.
A local-first context runtime for AI coding agents that significantly reduces token consumption from file reads and shell outputs via multi-strategy compression and property graph techniques, compatible with 28+ AI coding tools including Cursor, Claude Code, and Copilot.
A type-safe domain-specific language for LLMs that transforms prompt engineering into schema engineering, compiling to native-typed clients in multiple languages for reliable structured LLM output.
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