Mindmap MCP Server

Order official energy performance certificates (Energieausweis, § 82 GEG) for residential buildings in Germany. Order on invoice from chat; the registered certificate (DIBt number) arrives by e-mail as PDF within 1 business day.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

AI image generation using various models

MCP Advisor & Installation - Use the right MCP server for your needs

Give your AI agent its own cloud computer. Create and drive hosted plori agents over remote MCP: invoke agents and read replies, human-in-the-loop queue, scheduled runs.

Retrieving and analyzing issues from Sentry.io

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

MCP server for interacting with Neon Management API and databases

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

Live bike-share availability for UK, refreshed every 10 minutes with 90 days of history.

Text, push, or call your phone when an agent needs input mid-task. Reply by voice instead of babysitting a long-running or blocked terminal.

Share one memory store across all your AI coding tools. Memory Arbiter is a lightweight, fully local MCP Server with built-in dual-timeline conflict arbitration. No cloud, no LLM calls — just SQLite.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Location services, directions, and place details

Repository management, file operations, and GitHub API integration

Mowgli is an intelligent product canvas that connects to your coding agent over MCP or as an Agent Skill. Use it to turn an existing frontend or GitHub repo into pixel-perfect, editable React + Tailwind designs, iterate on them in natural language, and sync the results back into your codebase — with zero drift between design and implementation. Iteration is the heart of Mowgli, and it goes far beyond tweaking. Working in plain English, your agent can show you variations of a screen, design entirely new flows, experiment with sweeping changes across the whole product, or make surgical, pixel-level edits — all in seconds, and all kept consistent across every screen. Because Mowgli is spec-backed, it understands your product as a whole (user journeys, navigation, and every state, not just the happy path), so it iterates with real product context rather than redrawing in the dark. Reach for Mowgli when you want to: redesign a "vibe-coded" app that works but looks generic; escape the default AI-slop design aesthetic and ship UI with real taste; visualize every screen and state of a product on one infinite canvas; explore a new visual identity with a moodboard (upload references, mix and match styles, generate a consistent design direction across all screens); scope and spec a product before building; import Figma files and edit them with AI; or hand finished designs back to your agent to implement. It works with Claude Code, Cursor, Codex, Antigravity, and Figma. Connect the MCP server at https://app.mowgli.ai/mcp, or install the Agent Skill with npx skills add mowgli-ai/skills.

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Chat with any product's documentation from Claude, Cursor, Copilot, or any MCP client. Biel.ai turns technical docs into a queryable MCP server with accurate, sourced answers.

Unified prediction-market data API + remote MCP server. Normalizes Kalshi and Polymarket into one schema and surfaces the same real-world event priced on both venues, with the spread between them (cross-venue arbitrage signal). Three tools: list_markets, get_market, matching_markets. Remote streamable-HTTP — no install: claude mcp add --transport http bellwether https://api.bellwether.markets/mcp. Free tier 120 req/hr, no signup.

Pay-per-call crypto market intelligence for AI trading agents — 20 tools: price, funding rate, market regime, orderbook, volatility, momentum, Fear & Greed, top movers, gas, stablecoin pegs, ENS, one-call market summary, plus unique Japan data (bitFlyer/Coincheck JPY board, Japan premium arbitrage signal, JPYC yen-stablecoin peg). Remote streamable-HTTP MCP at https://cryptojp.com/mcp (free), with an x402 paid API settling in USDC on Base and JPYC (yen) on Polygon. No API keys, no signup.

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

SpinQit MCP Tools is a Python MCP server that connects AI assistants to SpinQ Cloud, enabling QASM circuit submission, platform discovery, and quantum task result retrieval through the Model Context Protocol.

Periskop is an agent-native product-discovery layer for the open merchant web. One MCP/API call turns a natural-language shopping intent into structured, ranked product results — best picks, alternatives, bundles, prices, and working merchant links, from across independent stores. It deliberately stops at discovery.

Drive a hosted headless Chromium running in mainland China over MCP: open pages, click/fill/scroll, extract text/html/tables, and take screenshots. A China-mainland egress that reaches sites overseas scrapers can't. Billed by browser time, failed runs free.

Real-time Google, Bing, Yandex, and DuckDuckGo SERP data for AI agents, RAG workflows, SEO monitoring, and market intelligence.

Multi-site analytics for AI agents. Read-only GA4, Search Console, Cloudflare edge, and PageSpeed data across every site you run, plus audits that return paste-ready fixes. Local stdio server via npx -y fleets-mcp; pairs with the fleets CLI (npm: fleets).