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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petromcp

作者:ameyxd版本 0.8.1i★ –i在你的电脑上运行
注册名称io.github.ameyxd/petromcp

安装

概览

作者提供的说明(英文原文)

Local-first MCP server: read LAS well logs and DLIS files from your own disk.

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: 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

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": {
    "petromcp": {
      "command": "uvx",
      "args": [
        "petroleum-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add petromcp -- uvx petroleum-mcp

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": {
    "petromcp": {
      "command": "uvx",
      "args": [
        "petroleum-mcp"
      ]
    }
  }
}

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": {
    "petromcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "petroleum-mcp"
      ]
    }
  }
}

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。

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 ameyxd 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“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 3577 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3577 个服务器的 20% 更新
  • 基础检查结果等于或优于此分类中其他 3577 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

petromcp 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

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(0.8.1)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:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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:↓ 每周下载量i★ 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

Agent-Native Calendar

Agent-Native Google Calendar - manage events, sync, and public booking

作者:BuilderIO正在增长★ 76202个月前更新

在云端运行

Excel MCP Server

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

作者:haris-musa广泛使用↓ 5万/周★ 42768天前更新

在你的电脑上运行

MCP Server for Excel

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

作者:sbroenne正在增长↓ 4321/周★ 8475天前更新

在你的电脑上运行

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。

petromcp

Read well logs with Claude without the data ever leaving your machine.

petromcp is an MCP server for petroleum data formats, built for teams whose files legally cannot be uploaded to a cloud service. No telemetry, no phone-home, no automatic updates, and a default-deny path allowlist that refuses to open anything you have not explicitly permitted. LAS today; DLIS, SEG-Y, and pump cards next.

If you can upload your data somewhere, you have more options than this. If you can't, this was written for you.

What this gives you

LLM hosts cannot read binary or semi-structured petroleum formats. petromcp wraps the established open-source parsers — lasio and dlisio today, with segyio queued for a later slice — and exposes them as MCP tools, so you can have a conversation with your data instead of copy-pasting curve values into chat.

What "local-first" means here, concretely

Not a posture. Four things you can verify in the source:

  • Default deny. A fresh install can read nothing. Access is granted per directory, and every tool routes through one validator that resolves symlinks before checking, so a link inside an allowed directory cannot reach outside it. There is no environment variable that widens the allowlist and no tool that changes it at runtime.
  • No network, declared. petromcp opens no outbound connections. All five tools ship openWorldHint: false and readOnlyHint: true, so your host can verify that claim rather than take it.
  • An audit trail. Every tool call is logged with a timestamp, the tool name, and the resolved path.
  • Bounded output. Curve reads are capped and report downsampled and original_count, so a 20,000-point log cannot silently dump into a context window.

The threat model, and what does *not* count as a vulnerability, are in SECURITY.md. Read docs/DATA_PRIVACY.md before pointing this at real data — it is authoritative, and if the code contradicts it the code is the bug.

Install

Requires Python 3.10+ and uv.

Add petromcp to your MCP host's config — no clone, no build:

{

"mcpServers": { "petromcp": { "command": "uvx", "args": ["petroleum-mcp", "serve"] } } }

On macOS that file is ~/Library/Application Support/Claude/claude_desktop_config.json. Restart the host afterwards. macOS notes and troubleshooting: docs/INSTALL.md.

To work on petromcp rather than just use it:

git clone https://github.com/ameyxd/petromcp cd petromcp make setup make install-claude

Configure

By default petromcp can read nothing. Tell it which directories are fair game:

uvx petroleum-mcp config init uvx petroleum-mcp config add-path ~/petroleum/wells

Or, if you want to try it without your own data, generate the synthetic sample from a checkout and allowlist that:

make generate uvx petroleum-mcp config add-path "$(pwd)/examples/sample_data"

Restart your MCP host after editing the allowlist — it is read once at startup.

Use

Open a new conversation and ask, in plain language:

What's wrong with this well log? /path/to/well.las Compare these two wells: /path/to/A.las and /path/to/B.las Convert 1500 psi to kPa.

Claude picks the right tool, reads the file through petromcp, and answers.

Worked examples, with real tool output rather than prose:

  • QC a well log — finds a planted density gap, a washout, and a gamma ray spike
  • Compare two wells — depth overlap, a missing curve, and a unit mismatch that is invisible in one file
  • Unit conversion
  • Read a DLIS file — logical files, frames, and what happens when a channel name is ambiguous

Every value in those documents is generated by calling the tools; CI fails if they drift.

Tools

ToolWhat it does
read_las_fileHeader-level summary of a LAS file
summarize_las_curvesPer-curve min, max, mean, stddev, gap percentage
read_las_curveDepths and values for one curve, with sampling cap
compare_well_logsCommon curves, depth overlap, unit consistency, flags
convert_unitsft<->m, psi<->kPa, psi<->bar, bbl<->m3, degF<->degC, mD<->m2
list_supported_unitsEvery convertible pair with its physical quantity
read_dlis_fileDLIS structure: logical files, frames, index types
list_dlis_channelsEvery DLIS channel with its frame, units, and length
read_dlis_channelOne DLIS channel's values, with a sampling cap
qc_a_well_log promptWalks Claude through a standard QC pass

Every tool is read-only and opens no network connection, and declares that in its MCP annotations. Full reference: docs/TOOLS_REFERENCE.md.

DLIS files hold several logging runs, each with several frames, so a channel name is unique only within a frame. read_dlis_channel refuses an ambiguous name and lists the candidates rather than guessing, because the values differ.

SEG-Y and pump card support land in subsequent releases.

Status

v0.7 ships the LAS and DLIS slices, a comparison tool, a units utility, and config-management CLI subcommands. The remaining formats are tracked in SPEC_petromcp.md. The non-goals list there is real; read it before filing feature requests.

Release history: CHANGELOG.md. Security policy and threat model: SECURITY.md.

License

MIT.

mcp-name: io.github.ameyxd/petromcp


Built by Amey Ambade. I write about AI systems in industries where the data can't leave the building, at writing.heyamey.com.

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