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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Pipedrive MCP

作者:mmedum版本 1.3.1i★ –i在你的电脑上运行
注册名称io.github.mmedum/pipedrive-mcp

安装

概览

作者提供的说明(英文原文)

Pipedrive CRM as MCP tools: find deals, people and companies, and move deals through a pipeline.

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

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 …”。

下载作者的 .mcpb 文件

链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。

在终端中运行这条命令

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。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 mmedum 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 2985 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2985 个服务器的 95% 更新
  • 基础检查结果等于或优于此分类中其他 2985 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

Pipedrive 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?

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(1.3.1)于昨天进入注册中心。

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 MCPB。

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。

pipedrive-mcp

Pipedrive CRM as MCP tools. Find deals, people and companies, write to them, and move deals through a pipeline.

A single Go binary that speaks Model Context Protocol over stdio, from the current protocol revision back to 2024-11-05. It runs as a subprocess of your client, on your own machine, against one Pipedrive workspace, with your own API token. There is no server to host and no shared deployment.

It is for a person who works in Pipedrive and wants an assistant to do that work with them: turn a name into a record, read deals, people, organizations, activities and notes with their custom fields under the names the workspace gives them, edit any of them, and move a deal through its pipeline: won, lost, reopened, archived or into another stage.

Unofficial. Not affiliated with or endorsed by Pipedrive.

Goals and non-goals

Goals:

  • Nothing is overwritten that you did not mean to replace. A write to an existing record reads it first, and refuses to replace a field that holds a value unless the call names that field. Pipedrive has no undo.
  • A refusal says how to proceed. It names what it protects and the argument that would permit the write.
  • Results speak the workspace's language. Custom fields come back under their names and dropdowns as their labels, and are written the same way.
  • Your workspace stays yours. Every call runs with your token, only to your workspace's Pipedrive address, with no telemetry. Logs never carry a payload or the token.

Non-goals:

  • More than one workspace per server. It resolves one at startup.
  • Clearing a field. Pipedrive v2 rejects a null and stores an empty string as a value, so a field can be changed but not emptied.
  • Merging records. A merge destroys one record's values across a record nobody read, and no refusal could name what it would lose.
  • Products, leads, files, projects and goals. search finds some of them, and no tool reads or writes them.
  • Fetching every page for you. Each list call returns one page and the cursor for the next.
  • Asking you before a call. Your client approves each call; the server asks nothing.

What makes this one different

It stays on Pipedrive v2, except where v2 has nothing. Notes and the whoami lookup run on API v1, because v2 exposes no /notes and no /users. Pipedrive has deprecated a list of v1 endpoints, and notes and /users/me are not on it. If v1 answers one of them with a 410, the [gone] error says the endpoint has no v2 equivalent, rather than blaming your request. Any other answer is classified by its status.

Its tool surface follows the shipped Google Workspace MCP servers. Reads stay discrete, every mutation goes through one manage_ tool with an action, and writes explain their refusals. Those are the servers a model has most likely already seen, so this one needs less explaining.

It is checked against a real workspace. Beside the unit tests, a suite in internal/integration drives the server against a live Pipedrive workspace: reads, resources, guard refusals, rehearsals, and a reversible write on each resource that has one. Writing to a live CRM is a separate opt-in, and the suite has run against one workspace, so a custom-field or permission setup unlike it is untested.

Tools

Start with `search`. It turns a name into the numeric id every other tool needs. list_deals filters; it does not match names.

ToolWhat it does
searchFree text across deals, people, organizations, products, files and leads — the way to turn a name into an id
whoamiWhich account the token acts as, the workspace it points at, and the account's timezone
get_dealOne deal: value, currency, status, stage, the people and company on it, and custom fields under their workspace names, dropdowns as labels
list_dealsDeals by status, pipeline, stage, owner, person, organization or update window, cursor-paginated. Archived deals live in their own collection — pass archived
manage_dealCreate or edit a deal, move it between stages, close it, archive it, or delete it — create, update, move_stage, mark_won, mark_lost, reopen, archive, unarchive, delete. Custom fields by name, dropdowns by label
get_personOne contact: names, every email and phone with its label, the company they belong to, and custom fields
list_personsPeople by owner, linked organization or update window, cursor-paginated
manage_personCreate, edit or delete a contact — create, update, delete. Name it with name or with first_name/last_name, never both. Custom fields by name, dropdowns by label
get_organizationOne company: the address Pipedrive parsed, how many people hang off it, and custom fields
list_organizationsCompanies by owner or update window, cursor-paginated
manage_organizationCreate, edit or delete a company — create, update, delete. Custom fields by name, dropdowns by label
get_activityOne call, email, meeting or task, with its location, participants and conference details
list_activitiesActivities by status, owner, deal, person, organization, lead or update window; notes stripped unless asked for
manage_activityCreate or edit an activity, tick it off, or delete it — create, update, complete, reopen, delete
get_noteOne note: its HTML, who wrote it, and which record it hangs off
list_notesNotes by the record they hang off, author, date range or update window
manage_noteCreate, edit or remove a note — create, update, delete
list_pipelinesThe pipelines the token can see, in one call with no paging
list_stagesThe stages of a pipeline, with the deal probability Pipedrive gives each
refresh_field_cacheRe-read custom-field names and dropdown labels after somebody adds, renames or extends one in the Pipedrive UI
Guarded writes

Every manage_ tool reads its target before it writes, and refuses what the write would destroy that you cannot see. Each refusal names the fields it is protecting and the argument that would permit the write.

  • `dry_run` reports what the write would find and change, and sends nothing.
  • `overwrite` names the fields an update may replace, such as ["title", "value"], exactly as the refusal lists them. Naming fewer than it listed is still refused over the rest. Filling an empty field destroys nothing and needs no permission.
  • `expect_version` carries the update_time from the read that informed the write, and refuses if the record moved since. Pipedrive has no compare-and-set, so it catches a concurrent edit, not a determined race.

The named transitions — mark_won, mark_lost, move_stage, reopen, archive, unarchive and complete — take no overwrite, because the field they change is the field you named. reopen undoes mark_won and mark_lost on a deal, and complete on an activity. It does not clear a deal's lost_reason: Pipedrive accepts that field only on a lost deal, so the last loss's text stays until the deal is lost again.

A delete is soft. Pipedrive removes a deleted deal, person, organization or activity for good after 30 days, and nothing here puts one back. A deleted note keeps its text, and nothing here restores it either.

A guarded write that stops returns [refused], a class of its own, so a model can tell it from a validation failure and from an upstream error.

Resources

Resource templates mirror the get_ tools for clients that attach records rather than calling tools:

pipedrive://deals/{id}          pipedrive://organizations/{id}

pipedrive://persons/{id} pipedrive://activities/{id} pipedrive://notes/{id}

They share the tools' code, so the two cannot describe a record differently. A URI carries no options, so include_attendees and include_notes still need the tool.

What is not here

Each of these is a decision or an API limit, not an oversight.

  • Resources not modeled at all: webhooks, mail and mail threads, subscriptions and recurring revenue, saved filters, currencies, deal-to-lead conversion, followers, deal participants as a managed relation, and custom field definitions. Custom field values are readable and writable; the definitions are not.
  • Two things the API cannot do, which no retry fixes. Activity type cannot be filtered server-side, so ask for the rows and filter on their type. Activities are not indexed by search, so reach them through list_activities.
  • Pipedrive's search index keeps deleted records, with nothing saying so. search checks organization and person hits against Pipedrive and drops the deleted ones, at one extra call per type a page holds. Deals are not checked, because Pipedrive drops deleted deals itself, and a check against /deals would drop archived ones. Products, files and leads are returned unchecked. Because the drop happens after Pipedrive has paged, a page can come back short, or empty with next_cursor still set: an empty page is not the end.
  • The v1 tools sit outside the compatibility promise. get_note, list_notes, manage_note and whoami leave in a minor release if v1 stops answering them; see CHANGELOG.md.

Install

go install github.com/mmedum/pipedrive-mcp/cmd/pipedrive-mcp@latest

That puts the binary in Go's bin directory, which is often not on your PATH. If the next command says command not found, use the full path or add the directory once:

"$(go env GOPATH)/bin/pipedrive-mcp" --version    # check it landed

export PATH="$(go env GOPATH)/bin:$PATH" # or add it to your shell profile

Or take a signed archive from the latest release, for Linux, macOS or Windows on amd64 or arm64, and put the binary on your PATH. Verify it first:

# One keyless signature over the checksum file, tied to the release

workflow on a tag. Until it passes, the checksums are only what the

release says.

cosign verify-blob checksums.txt \ --bundle checksums.txt.bundle \ --certificate-identity-regexp '^https://github\.com/mmedum/pipedrive-mcp/\.github/workflows/release\.yml@refs/tags/' \ --certificate-oidc-issuer 'https://token.actions.githubusercontent.com'

checksums.txt covers every archive and SBOM, and you downloaded one.

On macOS, use shasum -a 256 -c.

sha256sum -c checksums.txt --ignore-missing

The archive carries build provenance.

gh attestation verify pipedrive-mcp_X.Y.Z_linux_amd64.tar.gz --owner mmedum

Set up Pipedrive

The server keeps your API token in the OS keyring: libsecret on Linux, Keychain on macOS, Credential Manager on Windows. Store it once:

pipedrive-mcp login

Pipedrive workspace subdomain (e.g. acme for acme.pipedrive.com): your-subdomain

Pipedrive API token for "your-subdomain": ········

login: token stored in OS keyring (service=pipedrive-mcp, account=your-subdomain)

login: default domain recorded in ~/.config/pipedrive-mcp/config.json

Pass --domain your-subdomain, or set PIPEDRIVE_COMPANY_DOMAIN, to skip the domain prompt. login checks the token with Pipedrive before it stores anything, and records th

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