Mailchimp (PyPI) MCP Server
mailchimp-mcp-server
PyPI
v0.1.0
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
MCP server for Mailchimp API integration
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 2 = 98. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
What this scan could not see
- No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.1.0 latest |
A 98/100 | 0 | 1.13.0 | 2026-08-25 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan mailchimp-mcp-server --online --registry pypiOther implementations of Mailchimp 7
Independent packages implementing the same tool, scanned with the same engine. Compare all 8 side by side →
AgentX MCP server for Mailchimp Automations API
Draft, test, and send Mailchimp campaigns straight from your MCP client — with audience management, subscriber CRUD, and post-send analytics behind safe-by-default send gates. STDIO or Streamable HTTP.
MCP server for Mailchimp Marketing API v3 — 286 tools covering campaigns, lists, automations, e-commerce, templates, reports, and more
Mailchimp MCP Pack — manage audiences, campaigns, and members via Mailchimp Marketing API.
The only local-first, AI-native Mailchimp assistant. Get CSM intelligence, marketing analytics, and campaign execution—all through Claude Desktop conversations. Free read-only tier available. Upgrade for full automation.
Production-grade MCP server for the Mailchimp Marketing API — 71 tools for campaigns, audiences, members, tags, segments, templates, reports, automations, webhooks, merge fields, interest groups, landing pages, batch operations, e-commerce, A/B testing, and audience analytics.
More in Other
A Model Context Protocol server implementation for AdGuard Home that enables AI agents to query and manage DNS records, filtering rules and more
Identity oracle and trust layer for autonomous AI agents. Bidirectional KYA and trust scoring.
MCP server with Airtable integration
A free one-minute reset for people, delivered by AI, with no account or personal data.
Access SEC filings efficiently, save time and tokens, and get cited answers.
A smart [MCP](https://modelcontextprotocol.io) server for [AniList](https://anilist.co) that gets your anime/manga taste - not just API calls.