原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Orcalayer MCP

作者:orcalayer版本 0.3.2i★ –i在你的电脑上运行
注册名称io.github.orcalayer/orcalayer-mcp

安装

概览

作者提供的说明(英文原文)

Polymarket smart-money analytics: whale leaderboard, wallet P&L, market consensus, live alerts

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 营销与社交媒体
  • 你需要填写:ORCALAYER_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "orcalayer": {
      "command": "uvx",
      "args": [
        "orcalayer-mcp"
      ],
      "env": {
        "ORCALAYER_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add orcalayer --env ORCALAYER_API_KEY=your-value -- uvx orcalayer-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "orcalayer": {
      "command": "uvx",
      "args": [
        "orcalayer-mcp"
      ],
      "env": {
        "ORCALAYER_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "orcalayer": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "orcalayer-mcp"
      ],
      "env": {
        "ORCALAYER_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • ORCALAYER_API_KEY 机密 env
    Optional Premium API key from orcalayer.com/pricing (enables the whale_alerts tool). Public tools work without it.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 orcalayer 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2980 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2980 个服务器的 27% 更新
  • 基础检查结果等于或优于此分类中其他 2980 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Orcalayer MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:ORCALAYER_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.3.2)于3个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT10天前更新
安装

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT10天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

orcalayer-mcp

Model Context Protocol (MCP) server for the OrcaLayer API — Polymarket whale and market analytics inside Claude, Cursor and other MCP clients.

Two ways to use it:

  • Hosted, nothing to install: https://orcalayer.com/mcp (Streamable HTTP). Add it as a connector in Claude (Settings → Connectors → Add custom connector, paste the URL) or in any client that supports remote MCP servers.
  • Local (stdio): uvx orcalayer-mcp, for Claude Desktop and other local clients.

Either way it is a thin wrapper over the orcalayer Python SDK and exposes eight read-only tools:

ToolWhat it doesKey
leaderboardRank wallets from the Smart Money set by P&L, win rate, volume or trade countNo
wallet_overviewWallet profit tracking: profile, P&L, market win rate, profit factor, rankingsNo
wallet_positionsA wallet's largest open positionsNo
marketsTrack smart money flows: search markets and see how many Smart Money wallets hold each sideNo
market_consensusSmart-money consensus on one market vs its price (head-count + capital-weighted)No
whale_alertsReal-time alerts on profitable wallets: live feed of smart-whale tradesPremium
pnl_leaderboardWallets ranked by realized P&L over the last 7 or 30 days (any window since June 2026)Premium
resolution_eventsMarkets just proposed, disputed, resolved (with the winner) or reopenedPremium

Public tools work anonymously. whale_alerts, pnl_leaderboard and resolution_events need a Premium API key (get one): on the hosted server send it as the Authorization: Bearer request header (clients that support request headers for a connector), on the local server set the ORCALAYER_API_KEY environment variable. Without a key the tool answers with a short notice, not an error.

Every tool carries readOnlyHint: true: nothing is created, changed or deleted on your behalf. Data is read from the OrcaLayer API only.

Each result carries a short notes block that defines its fields, so a model comparing two tools never meets two different numbers under one name: market_win_rate (share of resolved markets won) has the same basis in leaderboard and wallet_overview; profit_factor is capped at 99.99 on the leaderboard (profit_factor_capped) and uncapped net in the overview; indexed_volume_usd is the volume of fills in OrcaLayer's index, not Polymarket's figure; Smart Money counts are wallets, whatever their size.

New (2026-07-22): the Premium SSE stream (/api/public/v1/live/trades)

now carries settlement_type (MINT / MERGE / COMPLEMENTARY / null)

on every event — live-derived settlement mechanics, shadow-verified

100.000% accurate on MINT/MERGE. It describes how the match settled,

not trader intent (~80% of all fills settle as MINT; null = honest

refusal, not "not a mint"). Details: the orcalayer://api-reference

resource or orcalayer.com/docs/api.

Prompts

Ready-to-use prompts for common analytics scenarios:

PromptWhat it does
analyze_walletFull wallet analysis — smart money or farmer?
find_divergenceMarkets where smart money disagrees with the current price
hedge_checkWhether a wallet's profit was real alpha or a hedge structure
territorial_markets_reviewUkraine territorial markets with ISW frontline overlay

In Claude Desktop, pick a prompt from the prompt menu (the + / slash-command picker) — each one orchestrates the tools above for you.

Resources

Read-only context the model can pull directly — no tool call needed:

Resource URIContent
orcalayer://methodologyHow smart money is filtered from farmers, hedgers and market-makers
orcalayer://glossaryPrediction-markets glossary
orcalayer://api-referenceOrcaLayer REST API reference (endpoints, auth, rate limits)

Use with Claude Desktop

Add this to your claude_desktop_config.json (%APPDATA%\Claude\claude_desktop_config.json on Windows, ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{

"mcpServers": { "orcalayer": { "command": "uvx", "args": ["orcalayer-mcp"] } } }

The public tools work as-is. For the Premium tools (whale_alerts, pnl_leaderboard, resolution_events), add your API key (get one):

{

"mcpServers": { "orcalayer": { "command": "uvx", "args": ["orcalayer-mcp"], "env": { "ORCALAYER_API_KEY": "sk_orca_your_key_here" } } } }

Restart Claude Desktop after editing the config.

Use the hosted server

The same eight tools, prompts and resources are served at https://orcalayer.com/mcp over Streamable HTTP. No account is needed for the public tools. In Claude: Settings → Connectors → Add custom connector → paste the URL. For the Premium tools, send your Premium key as the Authorization: Bearer request header where your client supports connector headers; keys are never accepted in the URL.

Self-host over HTTP

pip install orcalayer-mcp

orcalayer-mcp --http --host 127.0.0.1 --port 8020 --path /mcp

The server is stateless and answers plain JSON, so any reverse proxy with TLS in front of it will do (forward POST /mcp to 127.0.0.1:8020/mcp). The ORCALAYER_MCP_HTTP=1, ORCALAYER_MCP_HOST, ORCALAYER_MCP_PORT and ORCALAYER_MCP_PATH environment variables are equivalent to the flags. ORCALAYER_MCP_ANON_BASE_URL optionally routes anonymous calls to a different API host (the hosted server points it at its local backend); calls that carry a key always go to https://orcalayer.com. Put your own per-client rate limit in the proxy: the server itself does not limit callers.

License

MIT. See LICENSE.

Data is provided for informational purposes only and is not financial advice.


mcp-name: io.github.orcalayer/orcalayer-mcp

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