mcp-oi-wiki

The AI Code Editor

AI GPT Image is an online GPT Image 2 AI image generator and editor that helps users create, edit, upscale, and transform images with text prompts and reference photos. It supports text-to-image generation, image-to-image transformation, natural language image editing, AI image upscaling, and AI video creation workflows. Powered by GPT Image 2, AI GPT Image is designed for high-quality visual creation with stronger prompt understanding, improved text rendering, multilingual visual design, realistic lighting, detailed textures, and better style consistency. Users can create realistic portraits, product photos, YouTube thumbnails, social media graphics, posters, UI mockups, infographics, character concepts, cinematic storyboards, and commercial design assets in just a few steps. AI GPT Image is suitable for creators, designers, marketers, e-commerce sellers, bloggers, YouTubers, startup teams, indie hackers, AI creators, and anyone who wants to generate professional images online without complex design software. It is especially useful for social media content, advertising creatives, product marketing, blog covers, visual storytelling, image editing, and AI image-to-video workflows.

Visual Studio Code

Roo Code (prev. Roo Cline) gives you a whole dev team of AI agents in your code editor.

ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).

GPT Image 2 AI is an MCP-compatible service for generating and transforming images using text prompts. It provides a simple interface for AI agents and developer tools to create visual outputs, refine images, and experiment with generative workflows in a programmatic way. The service is designed to be lightweight and easy to integrate into MCP-based environments, enabling use cases such as: text-to-image generation image refinement and variation visual prototyping workflows AI-assisted content pipelines 👉 https://gptimg2ai.net This server can be used by AI agents to generate visual assets dynamically, making it suitable for creative tooling, automation workflows, and experimental AI applications.

**Myriade** is the AI-native data platform for exploring, cataloging, and governing data warehouses. This MCP server exposes Myriade's data analyst capabilities to any compliant client (Claude Desktop, Cursor, VS Code, Copilot, etc.). Once connected, your AI client can: - **Discover** — `list_databases`, `list_tables`, `get_table_schema`, `get_database_info` - **Sample & query** — `sample_data`, `query` (read-only, governance-enforced) - **Browse the catalog** — `search_catalog`, `read_asset`, `update_asset` (descriptions, tags, status) - **Ask the analyst** — `ask` runs Myriade's data analyst agent end-to-end on a natural-language question, returning a synthesized answer with deep links into the Myriade UI for queries, charts, and documents All requests are scoped to the authenticated user's organization, run in read-only mode, and respect Myriade's governance policies (PII masking, table-level ACLs). **Auth:** OAuth 2.1 with Dynamic Client Registration. Sign in once with your Myriade account; tokens are scoped to your org. **Self-host:** Available — see https://github.com/myriade-ai/myriade-private for setup. The hosted version at `app.myriade.ai` is the easiest way to try it.

FullMention gives you structured visibility data from ChatGPT and Gemini in one single API call per keyword. Pull brands, websites, and products simultaneously without running 20+ separate query loops. Save massive API costs while unlocking complete market dominance insights.

MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Gateway connector between LLM agents and world data. Official Model Context Protocol server for the Sugra API, backed by a bundled endpoint catalog and operation_id calls. Works with Anthropic Claude, OpenAI GPT, Google Gemini, xAI, and any MCP-enabled IDE. Client details: Anthropic Claude: Claude Desktop, Claude Code (CLI), claude.ai (web) OpenAI GPT: ChatGPT (via MCP connector) Google Gemini: Gemini CLI, Gemini Code Assist (VS Code + JetBrains) xAI: Remote MCP Tools in xAI SDK and Responses API IDEs: VS Code (native), Cursor, Zed, Cline, Continue.dev, Windsurf Custom agents: anything built on the Python or TypeScript MCP SDK

Voyei is a collaborative travel-planning app (Brazil-first, PT-BR). Its native MCP server lets you connect your own AI client — Claude, ChatGPT, Cursor or any MCP-compatible client — and have it read and edit your trips in real time, using your AI plan (Voyei never charges per token nor trains on your data). The AI can create and edit trips (days auto-generated), add and schedule places, manage reservations (hotels, restaurants, tours, events) and transport (flights, trains, cars, cruises), build budgets with expense-splitting, assemble packing lists, collaborate (shared notes, polls, messages, to-dos), update your travel Atlas and journey log, and search places & weather. Exposes 78 tools and 15 read resources, with granular OAuth scopes (read/write per area).

## Overview ### what is Chain.Love MCP? Chain.Love MCP is a hosted remote MCP server and gateway for AI agents. It provides a single endpoint for discovering and comparing Web3 infrastructure services across 50+ blockchain networks, including RPCs, indexing, oracles, storage, compute, and developer tools. ### how to use Chain.Love MCP? To use Chain.Love MCP, add the hosted endpoint to your MCP client and connect to `https://app.chain.love/mcp` over Streamable HTTP. For public use cases, the basic MCP server URL is enough. For private downstream MCPs, add credentials only when required using `x-chainlove-cred-<credentialKey>` headers. ### key features of Chain.Love MCP? - Hosted remote MCP gateway for AI agents - Single endpoint for Web3 infrastructure discovery across 50+ blockchain networks - Aggregates infrastructure options across RPCs, indexing, oracles, storage, compute, and developer tools - Streamable HTTP transport - Public documentation and onboarding resources available online ### use cases of Chain.Love MCP? - Discovering and comparing Web3 infrastructure providers across many blockchain networks - Finding RPC, indexing, oracle, storage, compute, and developer tooling options through one MCP server - Giving AI agents a single hosted integration surface for Web3 infrastructure discovery - Reducing the need to integrate many separate provider-specific endpoints ### FAQ from Chain.Love MCP? - Can Chain.Love MCP be used as a hosted remote MCP server? Yes. Chain.Love MCP is designed to be consumed as a hosted remote MCP endpoint at `https://app.chain.love/mcp`. - Does Chain.Love MCP require credentials? Not always. Some downstream integrations may require credentials, which can be passed using `x-chainlove-cred-<credentialKey>` headers when needed. - How do I know which credential header to use? You can check the open-source Chain.Love registry at `https://github.com/Chain-Love/chain-love/blob/main/references/offers/mcpservers.csv` or browse `https://app.chain.love/toolbox/mcpservers` and look for the relevant `credentialKey` value. - Where can I learn more? Landing page: `https://www.chain.love/mcp-gateway` Documentation: `https://chain-love.gitbook.io/mcp-module`

StationOne is a local-first, model-agnostic AI client and orchestration layer that enables users to build, run, and manage agentic workflows across multiple LLMs and MCP connectors. It provides a unified workspace for integrating AI models, tools, and data sources through the Model Context Protocol (MCP), allowing agents to securely interact with external services like APIs, databases, and SaaS platforms. With support for custom agents, pre-prompt templates, and a curated MCP marketplace, StationOne acts as a central hub for deploying scalable, context-aware AI automation across personal and enterprise environments.

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MCPMate is a comprehensive Model Context Protocol (MCP) management center designed to address configuration complexity, resource consumption, security risks, and other issues in the MCP ecosystem, providing users with a unified management platform.

The new purpose-built IDE to harness magic

A web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.

Creative AI art engine designed for unique style transfers and instant visual magic.

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