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A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

高德地图官方 MCP Server

Web content fetching and conversion for efficient LLM usage

The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint. The MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access data, models, parameters, time ranges that are available to your Meteomatics API account.

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ead-only MCP server for searching and browsing essays on payments, fintech, and protocol thinking by Ben Milne. 3 tools: list_posts, get_post, search_posts. Streamable HTTP transport, no auth required.

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

Kage is shared, code-grounded memory for developers and their coding agents. Capture a learning once — a bug cause, a decision, a gotcha — and the whole team plus every agent recalls it next time it's relevant. Memory is grounded in your actual code and stored as git-tracked JSON reviewed in PRs, not a personal vector blob that drifts: citations are validated on write, and stale memory (whose code was deleted or refactored) is withheld from recall and flagged for you. Works with Claude Code, Codex, Cursor, Windsurf, and any MCP client. No vector DB, API key, or service to run. Try it in 30s: npx -y @kage-core/kage-graph-mcp demo

Channel management and messaging capabilities

Bitly is the world's most trusted link management platform - and now your AI assistant can tap directly into everything it tracks. With the Bitly MCP Server, you can pull real-time engagement data on any link, QR code, or page: click volume, top locations, referral sources, device breakdowns, and performance over time. Ask your AI to surface your top-performing links this week, flag anything with unusual click patterns, or compare campaign performance across channels - all in natural conversation. Once you have the data, creation is just as seamless. Generate branded short links with custom domains and UTM parameters, produce print-ready QR codes with your brand colors and logo - all without leaving your workflow. 27 tools. Full Bitly platform access. Works with Claude, ChatGPT, Cursor, VS Code, and Windsurf.

Mercury is an MCP server + API where your AI agent pays for web data itself. It discovers a service, pays per call over x402 (or a free API key — no crypto needed), and gets back clean data plus an EIP-191 signed provenance receipt it can verify offline. 18 keyless services — fetch, extract, markdown, metadata, links, tables, feeds, sitemaps, DNS, diff, notarize — ~$0.003–0.02 a call, on 6 chains (Base, Polygon, Avalanche, Sei, IoTeX, peaq). npx mercury-x402-mcp for Claude / Cursor / Cline.

B2B enrichment API for AI agents — 89 canonical fields per person + company, each annotated with source, confidence (0-1) and freshness. One call synthesises ten sources; no per-field bills. Add https://mcp.abm.dev/mcp as a custom MCP connector (OAuth 2.1 PKCE).

An MCP server that provides a tool for sending transactional emails via Mailtrap

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Minimal project management for teams and AI agents. Manage tasks, projects, and workspaces from Claude, Cursor, Windsurf, and any MCP-compatible AI assistant.

Crawlora's hosted MCP server exposes 319 structured web-data tools — search, maps, commerce, social, finance, travel, app stores, and reviews — each returning clean JSON instead of HTML to parse. Streamable HTTP transport with API-key Bearer auth. No proxies, browsers, or parsers to maintain. Free 2,000 credits/month, no card.

Synx is an AI first board for projects and tasks. It enhances your agentic workflow by helping the AI (and the human) manage the development process from start to finish.

Retrieving and analyzing issues from Sentry.io

GraphPilot gives coding agents persistent structural knowledge of a codebase. It parses TypeScript/JavaScript with tree-sitter into a graph of symbols and call edges, then exposes that graph over MCP so the agent can recall definitions, find callers, and trace change impact without re-reading files every conversation. Local-first: no network, no telemetry, no code ever leaves your machine. Four tools — gp_index, gp_recall, gp_callers, gp_impact.

One API for Search, Crawling, and Sitemaps