Model Context Protocol (MCP) Server Directory

Cerebras CS-4 delivers 30x faster inference than NVIDIA Blackwell by processing on a full 300mm wafer. This FastMCP server wraps Cerebras' API, giving Claude Desktop and Cursor agents sub-100ms token generation for latency-critical tool calls.

SambaNova's SN50 Reconfigurable Dataflow Unit runs any model — from 1B to 405B parameters — on a single chip with automatic model switching. This FastMCP server wraps SambaNova's API for enterprise agents needing multi-model inference with SLA guarantees.

Cerebras CS-4 delivers 30x faster inference than Nvidia Rubin by using a full wafer as a single compute surface. This analysis examines the architectural implications for AI agents designed around GPU-latency assumptions.

Groq's Language Processing Units deliver deterministic inference with zero GPU contention. This FastMCP server wraps Groq's API for Claude Desktop and Cursor agents, achieving consistent sub-50ms TTFT at $0.05/M tokens — the cheapest ultrafast inference available.

The MCP 2026-07-28 specification eliminated session state, introduced Multi Round-Trip Requests (MRTR), and added header-based routing. Six months in, this analysis examines what actually changed — and what didn't — for production agent builders.

Apple M5 Ultra with 512GB unified memory enables running 400B models locally. This FastMCP server exposes Core ML and MLX inference as MCP tools, giving AI agents on-device inference without cloud API costs.

XPENG Robotics raised over $900 million at a $6.3 billion valuation — China's largest embodied AI funding round — backed by IDG, Tencent, and Alibaba. IRON humanoid robot enters mass production by end of 2026.

Firecrawl is the #1 MCP server for web context in 2026, used by thousands of developers for search, scrape, parse, crawl, and interact operations. This FastMCP server wraps Firecrawl's capabilities for AI agents needing real-time web intelligence.

Moonshot AI's Kimi K3 2.8T open-weight model matches Claude Opus 5 on coding benchmarks at a fraction of the cost. This deep dive analyzes the head-to-head comparison across Terminal-Bench, SWE-bench, token economics, and production deployment trade-offs.

Skild AI's S1 foundation model learns robot tasks from single videos. This FastMCP server exposes S1's capabilities as MCP tools, enabling AI agents to teach robots new tasks, monitor execution, and coordinate multi-robot fleets.

Skild AI launched S1 on August 25 — a robotics foundation model that learns 10-minute tasks from a single human video with no fine-tuning. At 66% success on unseen tasks (vs 9% for VLAs), S1 is the GPT-3 moment for robotics. This workflow orchestrates S1-based robot training pipelines.

OpenAI's Assistants API sunset on August 26, 2026, leaving 2.3M API keys stranded. This FastMCP server translates legacy Assistants API calls to the new Responses API format, automatically converting threads, runs, and function calls to MCP-compatible tool invocations.