Skip to main content
Subscribe
DIRECTORY HUB

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 a Lightweight Browser-Runtime MCP Server for Agents

Cloudflare shipped Kitesurf (week of Aug 19 2026), a browser runtime built for AI agents that runs on Cloudflare Workers using roughly 3-7x less CPU and memory than Chromium while passing more than 235,000 web platform tests — a lightweight alternative to full headless Chromium for agent web automation. This dispatch builds browser-runtime-mcp, a FastMCP Python server exposing ten governed tools — open_page, get_text, click, type_text, screenshot, wait_for, fill_form, extract_table, session_state, close_page — where every call returns a compact accessibility-tree view instead of raw HTML to save tokens, with a concurrency/rate-limit guard, privacy mode (trackers/ads blocked by default), and a per-agent session sandbox.

Deepak Bagada Deepak Bagada
10m read
Deep Dive AI Tools

Build an Agentic-Commerce MCP Server for Payments & Fulfillment

On Aug 17-18 2026 Alipay unveiled China's first full-stack agentic commerce platform: merchants convert pages, products, and service workflows into agent-ready Skills and MCP tools, unified over AI payment, KYA trusted identity, risk management, and service fulfillment — with AHA for cross-agent/cross-device interoperability and ACT 2.0 for delegation, audit trails, intent verification, and payment channels. Ah Bao (Alipay's consumer agent, June 2026) already spans 10,000+ services across 5 smartphone brands (70%+ market) and 16 automakers. This dispatch builds agentic-commerce-mcp, a FastMCP Python server exposing eight governed tools — create_payment_intent, confirm_payment, issue_refund, verify_identity, create_order, check_fulfillment_status, get_merchant_skill, list_skills — with a spend-ceiling guard, a human-approval gate on irreversible actions, inputSchema, mcpServers config, and OAuth 2.0 signed/idempotent security.

Deepak Bagada Deepak Bagada
10m read
Deep Dive AI Tools

Build a Lean 4 MCP Server for Formal-Verification Agents

Anthropic's unreleased frontier model tested 650 ideas across 60 subagents (31M tokens) on the Riemann Hypothesis — and the confirmed findings were formalized in Lean, making Lean the emerging proof-of-correctness gate for both math and AI code. This dispatch builds lean-mcp, a FastMCP Python server exposing five tools — check_lemma, compile_project, list_theorems, propose_tactic, check_import — with inputSchema, mcpServers config, and a localhost transport secured by OAuth 2.0-scoped registry tokens.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI Tools

Build a Cerebras Fast-Inference MCP Server for AI Agents

On Aug 13 2026 OpenAI previewed Ultrafast — GPT-5.6 Sol at up to 750 output tokens per second (~14x Standard), powered by Cerebras wafer-scale engines (900,000 cores, 44GB SRAM on one slab). This dispatch builds cerebras-fast-mcp, a FastMCP Python server exposing four governed tools — complete_fast, tokens_per_second, route_fast_vs_standard, failover_standard — with a TTFT latency guard, a per-request cost/jitter meter, inputSchema, mcpServers config, and OAuth 2.0 scoped-token security.

Deepak Bagada Deepak Bagada
10m read
Deep Dive AI Tools

Build a Cost-Aware Model Router MCP Server for Peak/Off-Peak

DeepSeek's Aug 16, 2026 peak/off-peak rate card made time-of-day a first-class LLM cost input. This guide builds cost-router-mcp, a FastMCP Python server that routes agent calls to the cheapest eligible model — with a routing engine, cost-table JSON, provider config, token-budget caps, fallback retries, and OAuth 2.0/API-key security.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Tools

Build a Warehouse MCP Server for Agentic Inventory & Fulfillment

Agents belong on the warehouse floor in 2026. warehouse-mcp is a production FastMCP Python server giving AI agents six governed tools — item lookup, stock levels, order picking, restock triggers, supplier status, low-stock alerts — with inputSchema, mcpServers config, OAuth 2.0/API-key security, and retry rules for unreliable WMS backends.

Deepak Bagada Deepak Bagada
11m read
Audio Briefing
Accessibility Preferences
High Contrast Mode
Accessible Reading Font

Keyboard Shortcuts

Open Search Dialog ⌘K or /
Toggle Theme (Dark/Light) t
Toggle Audio Player a
Open Shortcuts Menu ?
Close Active Dialog Esc

Cookie & Privacy Preferences

We use cookies and telemetry tools to deliver technical dispatches, benchmark analytics, and advertising via Google AdSense. Review our Privacy Policy.