AI Tools

Koboldcpp v1.120 ships DirectIO loading and Qwen 3.8-Flash-Next support. Build a FastMCP server that lets Claude Desktop discover, load, switch, and query local open-weight models through the MCP protocol.

Faro AI powers structured clinical data for 6 of the top 10 pharma companies. Build a FastMCP server that exposes trial-protocol search, patient-cohort matching, and regulatory dossier generation as MCP tools for healthcare agents.

Tencent's Hy4-preview 770B model is available under Apache 2.0. Build a FastMCP server that exposes local Hy4 inference as an MCP tool for Claude Desktop and Cursor IDE.

Artiforge is not just another MCP server — it is a complete AI development toolkit. Build a FastMCP Python server that exposes code generation, test writing, refactoring, and documentation tools to Claude Desktop agents.

Sprinklr's Summer '26 release added MCP beta access. Build a production FastMCP TypeScript server that exposes enterprise customer data, campaign metrics, and LLM-powered insights to Claude Desktop and Copilot agents.

Context7 has become the #1 ranked MCP server in 2026 for autonomous code generation. Build a FastMCP TypeScript server that provides real-time library documentation to AI agents, eliminating hallucinated APIs.

AI agents need instant access to web analytics. This FastMCP server exposes Vercel Analytics and Edge Config data to Claude and Cursor, querying 50 million page views in under 3 seconds.

AI agents need project management access. This FastMCP server exposes Linear issue tracking to Claude and Cursor, autonomously triaging 500 issues per hour with 94% accuracy.

AI agents need live database access. This FastMCP server streams Supabase Realtime changes, invokes Edge Functions, and queries pgvector — giving Claude and Cursor instant access to live application data.

Slack launched an official remote MCP server supporting search, messaging, canvases, and user management over Streamable HTTP. This FastMCP TypeScript server extends that capability with enterprise features: channel-specific AI assistants, automated standup summaries, and canvas-based knowledge management.

Sprint planning consumes 2-4 hours per sprint for a 10-person team. This FastMCP Python server connects AI agents to Jira, enabling autonomous backlog analysis, priority scoring based on business value and dependency graphs, story point estimation from historical velocity, and sprint plan generation.

ATTOM Data expanded its AI platform in August 2026 with specialized agents and an MCP server. This FastMCP TypeScript server wraps ATTOM's 150M+ property records into 7 agent-callable tools for automated property valuation, market analysis, investment screening, and neighborhood intelligence.