"Live Option Recommendations for Trading or Investing" matching MCP servers:

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Enables coding agents to work inside a live WordPress Elementor editor tab: reading the canvas skeleton and element settings, creating/updating/moving/deleting elements through Elementor's own command API as single undo steps, taking pixel-accurate screenshots, running design lint, and receiving prompts the user types in the editor with Alt+Space. A ghost cursor and overlay let you follow along, and nothing touches the database directly.

Flax Engine projects and the running editor: check and compile scripts, start play mode, call game commands, wait for editor events and read or write live actors. The editor bridge stays connected through script reloads.

Exposes a read_source tool that lets agents read cited tickets, docs, and files through the same path the checker verifies, so quoted business rules match their sources and stay in sync as those sources or their authors change. It also keeps undecided product decisions explicit as open questions rather than letting agents invent answers.

Enables AI agents to drive a running Roblox Studio in real time over a single WebSocket, executing whole Luau programs, installing in-engine controllers, hot-patching scripts during live playtests, and receiving errors, assertions and other events as pushes. It also reaches Roblox Open Cloud for the open place and answers visual questions via a vision sidecar, exposing all of this through nine MCP tools.

Enables AI coding agents to drive Autodesk Fusion 360 over the Model Context Protocol, exposing 92 tools for sketching, modeling, querying, measuring and exporting CAD geometry through natural language. Includes an in-Fusion add-in that executes API calls safely on Fusion's main thread, with stdio transport compatible with any MCP client.

A local-only MCP server that provides AI coding agents with up-to-date documentation for specific libraries or tools during feature implementation, including search tools, multi-version support, and user-defined library entries.

A Claude Code plugin that runs a cheap, always-on model as an MCP server to accumulate knowledge of your codebase, so your agent can ask broad questions instead of re-reading files.

Enables AI assistants to start, manage, and embed live application previews in iframes, with support for multiple frameworks, Docker, tunnels, and authentication.

Enables AI agents to build, wire, inspect and simulate digital circuits directly in a running Logisim Evolution window, with every edit appearing live and undoable. Agents work from exact ports, real netlists and truth tables rather than screenshots, and can verify designs through simulation.

An MCP server that lets AI agents draw in a live Aseprite editor or headless mode, featuring one-action Unity sprite-sheet export, art-QA sweeps, and game-dev tools.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Enables an agent to drive a running Unreal Engine game via UE4SS by reading/writing UObject properties and calling UFunction, with verdicts that verify whether the requested state change actually happened.

Enables AI coding agents to inspect the currently selected Figma element or find layers by name, extracting layout, colors, typography, borders, and shadows as compact design tokens while exporting SVG and PNG assets straight into the local project. It connects over a local WebSocket to a running Figma session, so no API key, Dev Mode subscription, or manual ZIP export is required.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

Enables Codex and other MCP clients to read kickoff cards, acceptance criteria, Git evidence, and next steps, then append validated, audited progress events for resumable project handoffs.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

Enables agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited progress events with matching Git commits through short-lived scoped credentials.