Prototyp · Vorschau: alle Server aus der offiziellen Registry, alle 30 Minuten synchronisiert. Bewertungen und Benutzerkonten folgen in einem späteren Schritt.
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Pipedrive MCP

von mmedumVersion 1.3.1i★ –iLäuft auf deinem Computer
Name in der Registryio.github.mmedum/pipedrive-mcp

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

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

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft auf deinem Computer
  • Transport: stdio
  • Kategorie: Marketing & Social Media

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 1 von 1 bestanden
  • Läuft auf deinem Computer mit den Rechten deines Benutzerkontos (Dateien, Netzwerk, Apps).
  • Die Registry nennt keinen Schlüssel zum Eintragen.

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Die .mcpb-Datei des Entwicklers herunterladen

Der Link führt zur Datei des Entwicklers selbst; wir hosten sie nicht und verpacken sie nicht neu. Öffne die Datei, dann installiert Claude Desktop sie.

Führe das in deinem Terminal aus

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde mit dem GitHub-Konto mmedum bestätigt, dem das Repo gehört

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • – Nicht zutreffend

    Endpunkt antwortet

    Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet

  • – Nicht zutreffend

    Anmeldung mit OAuth

    Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen

Im Vergleich mit anderen in Marketing & Social Mediai

  • Mehr Sterne als 0 % der anderen 2976 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 96 % der anderen 2976 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 2976 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist Pipedrive MCP sicher?

Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.

Läuft er auf meinem Computer oder in der Cloud?

Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.3.1) kam gestern in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du MCPB auf deinem Computer.

Was kann ich stattdessen nutzen?

In derselben Kategorie: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

Google Analytics MCP

von surendranb

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

Läuft auf deinem Computer★ 244MITAktualisiert vor 9 Tagen
Installieren

README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

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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