Alpaca MCP Server
알파카 MCP 서버
Alpaca Market Data & Broker API를 MCP 도구로 공개합니다.
설치
지엑스피1
Related MCP server: alpaca-mcp-server
지역 개발
git clone <repo-url>
cd alpaca-mcp
npm install환경 변수
프로젝트 루트에 .env 생성합니다.
ALPACA_ENDPOINT=https://data.alpaca.markets
ALPACA_BROKER_ENDPOINT=https://broker-api.alpaca.markets
ALPACA_API_KEY=YOUR_ALPACA_API_KEY
ALPACA_SECRET_KEY=YOUR_ALPACA_SECRET_KEY명령
시작 (dev):
npm start(npx tsx index.ts실행)build :
npm run build(dist/에 컴파일)컴파일된 실행 :
node dist/index.js
용법
MCP 서버를 실행하면 stdin/stdout에서 수신 대기합니다. MCP 클라이언트나 CLI를 사용하세요.
npm link # optional
alpaca-mcp # starts server globally사용 가능한 도구
get-asset
{ assetClass?: "us_equity" | "crypto" }get-stock-bars
{ symbols: string[]; start: string; end: string; timeframe: string }get-market-days
{ start: string; end: string }뉴스 받기
{ start: string; end: string; symbols: string[] }
각각은 content[0].text 의 JSON 또는 오류를 반환합니다.
MCP 클라이언트 구성
mcp.config.json 통해 통합하려면 mcpServers 키 아래에 다음을 추가합니다.
{
"mcpServers": {
"alpaca-mcp": {
"command": "npx",
"args": [
"-y",
"alpaca-mcp"
],
"env": {
"ALPACA_ENDPOINT": "https://data.alpaca.markets",
"ALPACA_BROKER_ENDPOINT": "https://broker-api.alpaca.markets",
"ALPACA_API_KEY": "<YOUR_API_KEY>",
"ALPACA_SECRET_KEY": "<YOUR_SECRET_KEY>"
}
}
}
}
## Publishing
```bash
npm publish특허
아이에스씨
Available Tools
4 toolsget-assetsD
| Name | Required | Description | Default |
|---|---|---|---|
| assetClass | No | us_equity |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-market-daysD
| Name | Required | Description | Default |
|---|---|---|---|
| end | Yes | ||
| start | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-newsD
| Name | Required | Description | Default |
|---|---|---|---|
| end | Yes | ||
| start | Yes | ||
| symbols | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-stock-barsD
| Name | Required | Description | Default |
|---|---|---|---|
| end | Yes | ||
| start | Yes | ||
| symbols | Yes | ||
| timeframe | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
v1.0.0- First observed
get-assets - First observed
get-market-days - First observed
get-news - First observed
get-stock-bars
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: get-assets retrieves assets, get-market-days provides market schedule information, get-news fetches news data, and get-stock-bars obtains stock price bars. There is no overlap in functionality, making it easy for an agent to select the correct tool.
All tool names follow a consistent verb_noun pattern with hyphens (get-assets, get-market-days, get-news, get-stock-bars). This uniformity makes the tool set predictable and easy to understand.
With only 4 tools, the set feels thin for a financial data server, potentially lacking operations like trading, account management, or more granular data queries. However, it covers basic data retrieval functions adequately.
The tool surface is severely incomplete for a financial domain, offering only read operations (get-*) with no create, update, delete, or trading capabilities. This limits agents to passive data access without supporting full investment workflows.
Maintenance
Related MCP Connectors
- FensoryOAuthcom.fensory
Trading MCP server for AI agents, with live market data, account reads and controlled execution.
MCP server exposing the Backtest360 engine API as tools for AI agents.
MCP server for OpenMM — exposes market data, account, trading, and strategy tools to AI agents
Alpaca MCP — real-time US stock market data via the Alpaca Market Data API
Related MCP Servers
- AlicenseAqualityDmaintenanceA Model Context Protocol server that interfaces with Alpaca trading API, allowing users to manage portfolios, place trades, and access market data through natural language interactions.835MIT

alpaca-mcp-serverofficial
AlicenseBqualityAmaintenanceAlpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs729,333 PyPI1,012MIT- FlicenseNot gradedqualityDmaintenanceA comprehensive MCP server for professional trading operations with Alpaca, providing 31 tools for account management, market data, order execution, custom strategy execution, and advanced portfolio analytics with intelligent position classification.3-
- AlicenseNot gradedqualityDmaintenanceMCP server that provides AI agents with financial tools including real-time quotes, backtesting, technical analysis, and multi-exchange data via a simple CLI interface.2MIT