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Pipedrive MCP

제작자: mmedum버전 1.3.1i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.mmedum/pipedrive-mcp

설치

개요

제작자가 쓴 설명(영어 원문)

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

PopNx MCP의 세 기둥

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할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 마케팅 및 소셜 미디어

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

제작자의 .mcpb 파일 다운로드

링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.

터미널에서 이 명령어를 실행하세요

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 mmedum 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

마케팅 및 소셜 미디어 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 2975개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 2975개 중 96%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 2975개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Pipedrive MCP, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.3.1)은 어제 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 MCPB도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

MCP YouTube Transcript

제작자: jkawamoto

An MCP server retrieving transcripts of YouTube videos

내 컴퓨터에서 실행★ 495MIT10일 전 업데이트
설치

Google Analytics MCP

제작자: surendranb

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

내 컴퓨터에서 실행★ 244MIT9일 전 업데이트
설치

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

클라우드에서 실행★ 137MIT10일 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

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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