pyon-mcp

pyon-mcp

MCP server for the Pyon trading platform that lets AI agents search markets, generate research, build and edit node-graph strategies, run backtests, diagnose problems, and optimize parameters with 2-D sweeps.

Category
访问服务器

README

pyon-mcp

MCP (Model Context Protocol) server for the Pyon trading platform. It lets AI agents - Claude Code, Claude Desktop, Codex, or any MCP client - drive Pyon end to end: search markets, generate research, build and edit node-graph strategies with AI, run backtests, diagnose problems, and optimize parameters with 2-D sweeps.

Runs over stdio, talks to api.pyon.io, and needs only Node 18+.

Getting an API key

  1. Sign in at app.pyon.io.
  2. Open Account > API Access.
  3. Create a personal access token. It looks like pyk_....

Set it as the PYON_API_KEY environment variable wherever the server runs.

Variable Required Default Purpose
PYON_API_KEY yes - Personal access token (pyk_...)
PYON_API_URL no https://api.pyon.io API base URL override

Setup

Claude Code

claude mcp add pyon -e PYON_API_KEY=pyk_... -- npx -y pyon-mcp

Or, from a local checkout:

npm install && npm run build
claude mcp add pyon -e PYON_API_KEY=pyk_... -- node /path/to/pyon-mcp/dist/index.js

Claude Desktop

Add to claude_desktop_config.json (Settings > Developer > Edit Config):

{
  "mcpServers": {
    "pyon": {
      "command": "npx",
      "args": ["-y", "pyon-mcp"],
      "env": {
        "PYON_API_KEY": "pyk_..."
      }
    }
  }
}

Codex

Add to ~/.codex/config.toml:

[mcp_servers.pyon]
command = "npx"
args = ["-y", "pyon-mcp"]
env = { PYON_API_KEY = "pyk_..." }

Start here: get_capabilities

Pyon turns a strategy description into a node graph literally. An indicator name the engine does not know, or a threshold outside an indicator's range, produces a strategy that backtests to zero trades and looks broken for no visible reason - an RSI > 120 entry can never fire, because RSI is bounded 0-100.

So call get_capabilities before writing any strategy description, edit instruction, or sweep bound. It returns the real catalog: 61 market indicators with their value ranges and indicatorParams, 9 portfolio indicators, 8 operators, 8 trigger types, 13 action types, the 5 supported timeframes, the 3 quantityType modes, 7 option strategyType values, and the 47 tradable tickers.

The catalog is fetched from GET /api/capabilities and falls back to a copy bundled with this server if that endpoint is unavailable. Every response names which source it used. The same catalog is readable as markdown in the pyon://capabilities resource.

Tools

Every input schema is strict: an unknown or misspelled parameter (timeFrame, start_date, limit) is rejected with an explicit error rather than silently ignored. Every rejection message states what IS allowed.

Tool Parameter Type Allowed values Default
get_capabilities section enum, optional indicators, portfolio_indicators, operators, triggers, actions, timeframes, tickers, all all
search_symbols query string, required 1-100 chars; ticker or name fragment -
list_strategies - - no parameters -
get_strategy strategyId string, required UUID from list_strategies or create_strategy -
create_strategy description string, required at least 10 chars after trimming, max 8000 -
analysisId string, optional UUID from create_research or list_research none
edit_strategy strategyId string, required UUID -
instruction string, required at least 10 chars after trimming, max 8000 -
run_backtest strategyId string, required UUID -
startDate string, optional YYYY-MM-DD, real calendar date, not in the future 365 days ago
endDate string, optional YYYY-MM-DD, not in the future, after startDate, at least 7 days from it today
timeframe enum, optional 1m, 5m, 15m, 1h, 1d (lowercase) the strategy's native timeframe
initialCapital number, optional 100 to 100000000 50000
diagnose_strategy strategyId string, required UUID -
question string, optional at least 10 chars when given, max 2000 general health check
optimize_strategy strategyId string, required UUID -
xNodeId string, required a node id from get_strategy -
xField string, required a numeric config key on that node -
xMin / xMax number, required finite; xMax strictly greater than xMin -
yNodeId string, required a node id from get_strategy; may equal xNodeId -
yField string, required a numeric config key; the two axes must not be the same node and field -
yMin / yMax number, required finite; yMax strictly greater than yMin -
steps integer, optional 3 to 10 (runs steps x steps backtests) 5
timeframe enum, optional 1m, 5m, 15m, 1h, 1d server's choice
create_research prompt string, required at least 10 chars after trimming, max 8000 -
get_research analysisId string, required UUID from create_research or list_research -
list_research - - no parameters -
get_job_status jobId string, required non-empty; a job id or a backtest id from a timeout message -

What each tool does

Tool Summary Wait
get_capabilities The indicator / operator / action / ticker catalog, with API fetch and bundled fallback none
search_symbols Resolve tickers and names against Pyon's market database none
list_strategies Saved strategies with id, name, nodeCount, updatedAt none
get_strategy Per-node id, type, label, and flattened config (feeds optimize_strategy) none
create_strategy AI-build a new strategy, optionally grounded in research up to 300s
edit_strategy AI-edit a strategy; returns a before/after verification verdict up to 300s
run_backtest Metrics plus verbatim diagnostics; flags 0-trade causes and short daily windows up to 180s
diagnose_strategy AI debugger with sample-backtest evidence; message, issues, suggested fix up to 300s
optimize_strategy 2-D parameter sweep; best cell, current cell, sharpe grid up to 600s
create_research Generate a saved research report; returns analysisId plus executive summary up to 300s
get_research Fetch a saved report: score, view, truncated narratives none
list_research List saved research reports none
get_job_status Escape hatch when a wait timed out; also accepts backtest ids none

Validation rules worth knowing

  • Ids are UUIDs. A strategy name will be rejected; the message points at list_strategies.
  • Dates are YYYY-MM-DD real calendar dates, never in the future. 2025-02-30, 2024-1-5, 01/02/2024 and full timestamps are all rejected.
  • Backtest windows need endDate after startDate and at least 7 days between them. A 1d strategy tested over fewer than 300 days still runs, but the result carries a warning explaining that the window, not the strategy, may be what the metrics are measuring.
  • Timeframes are exactly 1m, 5m, 15m, 1h, 1d. 1D, daily, 1w and 30m are rejected - these are the five bar sizes the engine resolves.
  • Sweep axes must describe a real range (xMax > xMin, yMax > yMin) and must not point at the same node id and config field, which would test one dimension twice.
  • Prompts for create_strategy, edit_strategy, create_research and the optional diagnose_strategy question need at least 10 characters, because a vague prompt produces a vague strategy.

Resources

URI Contents
pyon://getting-started Auth setup, the typical agent workflow, enforced input rules, plan limits
pyon://capabilities The full capability catalog as readable markdown

Errors you may see

  • 401 - invalid or revoked API key. Create a new one in Account > API Access at app.pyon.io.
  • 402 - a plan limit was hit; the message explains which. Upgrade at app.pyon.io/app/account/billing.
  • Timeouts - long AI jobs keep running server-side; the timeout message includes the job id to check with get_job_status.
  • Invalid arguments - the message names the parameter and the allowed values. Fix and retry; these never reach the API.

Development

npm install
npm run build   # tsc -> dist/
npm run smoke   # offline, keyless: tools/list, JSON Schema completeness, and the validation tables
npm run check   # build + smoke

The compiler runs at the strictest settings the code satisfies: strict, noUncheckedIndexedAccess, exactOptionalPropertyTypes, verbatimModuleSyntax, isolatedModules, noImplicitOverride, noImplicitReturns, noFallthroughCasesInSwitch, noUnusedLocals, noUnusedParameters, allowUnreachableCode: false and allowUnusedLabels: false. noPropertyAccessFromIndexSignature is deliberately left off: it only forces process.env["PYON_API_KEY"] bracket syntax and catches nothing here. Wire payloads are read through the case-insensitive helpers in src/format.ts, which return unknown, so every tool has to narrow a value before putting it in one of the interfaces in src/types.ts - a backend field rename surfaces as a compile error rather than a missing JSON key.

scripts/smoke.mjs runs entirely offline. It asserts the 13 tools and 2 resources are registered, that every published JSON Schema names its parameters and sets additionalProperties: false, and it drives every tool's zod schema with a table of bad inputs that must be rejected and good inputs that must parse. It exits non-zero on any failure.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选