Hunter Killer

io.github.Irishman-Management-LLC由 GitHub 账号 Irishman-Management-LLC 发布v1.0.0更新于 Nov 7, 2026

Liquidation walls, snapshot age, evidence labels and a public record. Managed OAuth.

发布方自己的服务：Hunter Lease

已验证Streamable HTTP可网页运行金融数据与分析

服务详情

标识符: io.github.Irishman-Management-LLC/hunterkiller
传输: Streamable HTTP
运行时: Web executable
信任: Verified
发布于: Nov 7, 2026

安全提示

MCP 服务会接收对话中的工具调用请求，并可能执行外部操作。启用前请先了解该服务能做什么，并只授予它所需的权限。

注册中心已验证此条目所属的 GitHub 账号 Irishman-Management-LLC。这并不表明该账号就是产品方。

SourceWeft 的检查只涵盖条目是否完整、端点是否响应；不审查服务器的代码，也不审查其工具的行为。

在 README 中添加徽章

向读者展示该 MCP 服务已收录于 SourceWeft，徽章链接到本页。

[![Listed on SourceWeft](https://sourceweft.com/badge/mcp/io.github.Irishman-Management-LLC%2Fhunterkiller.svg)](https://sourceweft.com/mcp/io.github.Irishman-Management-LLC%2Fhunterkiller?utm_source=readme&utm_medium=badge)

概览

AI 生成的概览

远程 MCP 端点，让助手以只读方式获取加密货币爆仓墙、快照时效、证据标签和公开记录。

可以做什么: 读取某个币对的爆仓墙与最近价位，并附带快照时效和证据标签
查看 tier、延迟、时间戳和记录等字段，并在展示结果时一并保留
通过托管 OAuth 传输接入，公开主域端点提供发现和预览内容
可使用面向 LangChain、CrewAI、Composio 和 Node 的只读 HTTP 客户端封装与函数模式
适用场景: 适合希望助手在对话或智能体流程中拉取描述性加密市场结构数据（爆仓墙、价位阶梯、数据新鲜度）而不涉及任何交易执行的场景。
运行要求: 需要远程 streamable HTTP 端点，无需本地包或环境变量。需在 MCP 客户端中完成托管 OAuth 登录，OAuth 访问权限与付费数据权益相互独立。调用可能返回 401、403、402、429 或 503。

安装前请注意

免费数据被说明为在六个币种上延迟 2 小时，首次调用仍可能返回 401。OAuth 访问不含付费数据权益，且不会自动扣款。结果只是描述性测量，不构成交易建议；纸面策略示例为模拟，含历史代理输入、成本与亏损期，实盘执行已禁用。

安装

在 SourceWeft 中

打开控制台中的 Hunter Killer，将其添加到工作区。
连接所需的凭据。它们会被私密存储，绝不会在公开页面上展示。
为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.Irishman-Management-LLC%2Fhunterkiller/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "hunter-killer": {
      "type": "http",
      "url": "https://agents.hunterkiller.io/mcp"
    }
  }
}

README

Hunter Killer agent examples

curl --fail-with-body --max-time 20 https://hunterkiller.io/api/v1/levels/BTCUSDT# Or, with only Python's standard library:python3 examples/one_call.py BTCUSDT

curl --fail-with-body --max-time 20 https://hunterkiller.io/api/v1/levels/BTCUSDT# Or, with only Python's standard library:python3 examples/one_call.py BTCUSDT

The keyless rollout and wrapper publication are pending a live receipt. A first call can still return 401. A failure is never labeled as successful data. No external paying use is claimed.

Read liquidation walls, snapshot age, evidence labels and a public record. The strategy examples use paper orders. Live execution is disabled. Descriptive measurements, not trading advice.

Free data is 2 hours behind on six coins. Inspect tier, delay_sec, as_of_iso, age_sec, nearest, walls, truth and record. Keep these fields with any result you show. An empty ladder is not a trading instruction. Calls can return 401, 403, 402, 429 or 503; errors must reach the caller. Internal verification must use python3 examples/one_call.py --probe so probes are not confused with external adoption.

Integrations

packages/langchain: hunterkiller-langchain, Python transport and LangChain factory.
packages/crewai: hunterkiller-crewai, CrewAI factory using the same transport.
packages/composio: hunterkiller-composio, experimental standalone session tool.
packages/npm: hunterkiller-agent-tools, Node client, LangChain factory and function definitions.
schemas/openai-function.json: strict Responses API function schema. Dispatch to the read only HTTP client.
schemas/composio-openapi.json: public REST definition for custom bindings, not a hosted catalog listing.
space: manual Gradio ladder demo for Hugging Face Spaces.
examples/sdk.py and examples/sdk.mjs: existing published SDK Desk Read examples.
examples/freqtrade: the Freqtrade paper strategy, native historical public wall proxy table and API key signup link.
examples/hummingbot: the Hummingbot paper grid and its labeled historical quote model table.
strategies: shared point in time inputs, sealed observations, full results, costs and losses.

The wrappers call the public endpoint directly because the versions of the existing SDKs currently on PyPI and npm do not expose levels. They do not compute walls or grades. Credentials, if supplied by the application, never appear in the model's argument schema. No payment is automatic.

MCP

https://agents.hunterkiller.io/mcp is the Managed OAuth transport. Complete its normal sign in flow in your MCP client. OAuth transport access and paid Hunter Killer data entitlement are separate. registry/server.json describes that hosted server, not an installable open source server implementation. The public apex https://hunterkiller.io/mcp also offers discovery and public teasers. See the current auth and tool details on the data door.

Public source and risk

Agent door, proof, privacy, risk. Never infer a future return or trade recommendation from these measurements. The paper examples retain their historical proxy inputs, costs and losing periods. Those results describe a simulation, not live performance.

来源：README.md，提交 addd58f