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Model Context Protocol (MCP) Server Directory

The Model Context Protocol (MCP) standardizes how frontier LLMs connect to local codebases, live databases, and developer tools across Cursor, Claude Desktop, and autonomous agents.

Discover verified, production-hardened FastMCP Python and TypeScript server implementations, Zod schemas, STDIO/SSE transports, and sandboxed enterprise integrations.

Deep Dive AI Tools

Build an ATTOM Property Intelligence MCP Server for Real Estate AI Agents in 2026

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.

Deepak Bagada Deepak Bagada
6m read
Deep Dive AI Tools

Build a GitHub Copilot MCP Allowlist Server for Enterprise Agent Security in 2026

GitHub Enterprise rolled out strict MCP allowlists in August 2026, requiring enterprises to explicitly approve which MCP tools Copilot agents can access. This FastMCP Python server implements the allowlist enforcement layer, logging every tool call, blocking unauthorized access, and generating compliance reports.

Deepak Bagada Deepak Bagada
6m read
Deep Dive AI Tools

Build a FastMCP Worker Pool Server That Handles 500 Concurrent Agent Sessions in 2026

Most FastMCP servers crumble past 50 concurrent sessions because they share a single event loop. This worker pool architecture isolates sessions, enforces per-session rate limits, and handles 500 concurrent agent sessions with sub-100ms P99 latency using Python multiprocessing and Redis-backed session state.

Deepak Bagada Deepak Bagada
6m read
Deep Dive AI Tools

Build a Notion Knowledge Base MCP Server That Powers Autonomous Agent Research in 2026

Enterprise teams store 80% of their institutional knowledge in Notion—but AI agents can't access it. This FastMCP TypeScript server exposes Notion pages, databases, and wikis to Claude Desktop and Cursor agents with semantic search, auto-summarization, cross-database joins, and incremental indexing that keeps knowledge fresh without API rate limit exhaustion.

Deepak Bagada Deepak Bagada
6m read
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