"A platform for cryptocurrency trading and finance (Binance)" matching MCP servers:

Local-first personal finance MCP that aggregates bank, brokerage, credit, and loan accounts via Plaid and writes balances, holdings, and transactions to an Obsidian-style markdown vault, with access tokens stored securely in macOS Keychain.

An MCP server that gives AI assistants read access to real brokerage accounts and market data, with 39 tools for prices, technical analysis, SEC filings, and macro indicators, while order execution requires human approval via a separate dashboard.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Self-hosted, read-only MCP server that connects banks, credit cards, loans, and brokerage accounts via Plaid. 9 tools for balances, transactions, recurring charges, liabilities, and investment holdings.

Tracks personal expenses with tools to add, edit, and summarize expenses, storing data locally in SQLite.

Enables AI assistants to securely manage and analyze personal finances through natural language, with full control over data via a private PostgreSQL database.

Lets your coding agent talk to the RunWhen platform — workspace chat, issues, SLXs, run sessions, and the Tool Builder — over the Model Context Protocol. Enables workspace chat with AI assistant, task authoring via Tool Builder, and direct data access to workspaces, issues, SLXs, run sessions, and more.

Enables AI assistants to access Bangladesh's financial markets, including both stock exchanges, cross-exchange price spreads, company fundamentals, sector performance, financial news, and taka exchange rates.

MCP server for the SheetsFinance formula catalog, enabling search and construction of financial formulas for Google Sheets.

A scoped aggregator MCP server that routes intent to the 4-7 relevant finance tools from a 43-tool catalog, reducing token cost and improving tool-selection accuracy.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Hyperliquid research MCP — typed strategy composition, deterministic backtests on real market data, opt-in live execution.

Provides access to real-time stock prices, financial statements, news, and options data via the Model Context Protocol. It enables AI assistants to retrieve comprehensive market data, including historical prices and analyst recommendations, through a standardized interface.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Provides access to Hong Kong financial data like business registrations, mortgage statistics, and HIBOR rates through a FastMCP interface.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

AI visibility and SEO data for AI agents. Check whether ChatGPT, Claude, Perplexity and Gemini mention your brand and which sources they cite, plus keyword volume and Google Trends.

An MCP server providing Model-usable tools to fetch real-time quotes, historical price charts, fundamental datasets, SEC filings, economic/earnings calendars, option chains, and corporate bond data from TradingView.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.