"Executing Orders on Alpaca Trading Platform" matching MCP servers:

Enables natural language trading operations through Alpaca's API, supporting stocks, options, crypto, portfolio management, and real-time market data with comprehensive order execution and account management capabilities.

Provides AI agents with real-time financial market intelligence including regime detection, adaptive signals, macro context chains, and cross-market analysis for crypto, US, and Korean stocks.

A Model Context Protocol server enabling LLMs like Claude to interact with the Alpaca trading API through natural language for stock trading, checking positions, fetching market data, and managing your account.

Enables natural language trading operations through AI assistants using Alpaca's Trading API. Supports stocks, options, crypto trading, portfolio management, and real-time market data access.

An MCP server implementation for Alpaca's Trading API that enables LLMs to interact with Alpaca's trading infrastructure using natural language, supporting stock, options, and crypto trading, portfolio management, watchlists, and market data.

Enables natural language trading operations through Alpaca's Trading API, supporting stocks, options, crypto, portfolio management, and real-time market data access through AI assistants like Claude.

An MCP server that gives Claude the ability to analyze trading setups across IDX, Forex, and Crypto markets without executing trades.

Provides foundational trading utilities by fetching market data through Akshare and computing technical indicators like RSI and MACD using TA-Lib. It enables users to retrieve candlestick data and technical analysis series via a standardized MCP interface.

Prediction-market intelligence and crypto paper trading for AI agents. Explore data across 12 venues with 38 MCP tools, including 11 keyless tools on the hosted endpoint. Compare markets, track whales and discover crypto movers. Add a CoinRithm API key for simulated spot, futures and prediction-market trading, portfolio tracking and execution exports.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

Enables authenticated users to manage paper-trading accounts, place and cancel orders with simulated fills, view positions and P&L, search instruments, fetch bars, and run quant-strategy lifecycles over stdio or streamable HTTP.

Perpetual futures trading API for AI agents. Access 275+ markets (crypto, stocks, commodities, forex) via Hyperliquid. Copy trading, leaderboard, up to 50x leverage. No KYC. 20% referral commissions.

Enables querying SEC EDGAR for Form 4 insider trades, 8-K material events, and Schedule 13D/G ownership filings for US-listed companies, with ticker, company name, or CIK lookup.

A self-hosted platform that aggregates upstream MCP servers, OpenAPI imports, and remote device connectors behind a single endpoint per profile, with per-agent scoped authorization, tool/prompt/resource catalogs, and approval-based temporary permissions. It also lets administrators distribute skills and connectors to paired devices and export client configurations.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

The Problem Modern distributed systems and AI agents require robust operational scaffolding. Simple CRUD apps or mock loops fail when subjected to real-world edge cases, asynchronous boundaries, and security constraints. The Solution An isolated execution platform for AI agents. An agent is given a broken service and a bounded toolset inside a disposable sandbox. Every command passes throug

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 MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

Provides real-time stock data, technical indicators, and market analysis via MCP protocol to enable AI-driven quantitative trading.

Enables querying customer orders from a PostgreSQL database by customer ID or email, with optional minimum amount filtering.

Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.

Enables calculation of the 2025-2028 federal overtime, tips, and senior deductions — applying IRS caps, MAGI phase-outs, and bracket tables — plus eligibility explanations and estimated federal tax savings.

Enables AI agents to discover and retrieve options market-structure data (GEX, gamma flip levels, dealer positioning, skew, max pain, expected-move levels, options flow, and ranked trade setups) from Trading Volatility's public API via natural language.

A comprehensive Model Context Protocol server for Alpaca's Trading API that enables natural language trading operations through AI assistants, supporting stocks, options, crypto, portfolio management, and real-time market data.

MCP server for integrating manufacturing systems (MES/ERP/quality/maintenance) with LLM agents, enabling event ingestion, incident triage, approval workflows, and RAG-based knowledge retrieval.

Connects AI assistants to your Argo campaigns via the Model Context Protocol. Once configured, your AI assistant can read and write campaign lore, look up character details, and interact with Argo data directly from the chat interface.

Enables MCP clients like Claude Desktop to drive order, inventory, and billing operations through the same human-approval-gated tools and risk policy as the platform's LangChain agents.