Top 10 MCP Servers for Marketing & Social in 2026

Marketing and social media are where AI agents start to earn their keep. The data lives in a dozen SaaS silos — your CRM, ad accounts, SEO tools, analytics, and social networks — and the tedious work is moving information between them. Model Context Protocol (MCP) servers close that gap: they give an assistant like Claude a typed, permissioned door into HubSpot, Meta Ads, Ahrefs, GA4, and the rest, so a marketer can launch a campaign, pull rank data, or draft a post in plain language instead of clicking through five dashboards.

But an MCP server is code you grant real credentials to. It can read your CRM, spend your ad budget, or post as you. That is exactly why every server on this list has been scanned by MCP Trust Checker. Instead of ranking by GitHub stars alone, we attach each server's MCP Trust Score — a deterministic A–F grade (0–100) from a static analysis of the actual published package. Read the grade like a report card: A means our scan found a clean, low-risk capability profile; a lower grade or a high-severity finding count means there is something specific to review before you wire it into an autonomous workflow.

Here are the top 10 marketing and social MCP servers for 2026, ordered by real-world usefulness and popularity — with an honest note wherever our scan flagged something worth a second look.

1. HubSpot MCP Server

HubSpot sits at the center of most marketing stacks, which makes its official MCP server the single highest-leverage tool on this list. It exposes the HubSpot CRM and marketing APIs to AI clients — contacts, companies, deals, properties, associations, engagements, and workflows — so you can query and update lead and campaign data conversationally. It runs locally via npx against your existing HubSpot subscription and private-app token, meaning no third party ever sits between the agent and your data. This is a first-party vendor server, and it shows in the trust profile.

MCP Trust Score: A (91/100) · GitHub · npm

2. Meta Ads MCP

If you run paid social on Facebook and Instagram, this is the server to reach for. It drives ad accounts end-to-end through natural language: launching campaigns, editing budgets and targeting, uploading creatives, and pulling performance analytics through the Meta Marketing API. It is built by Pipeboard, a badged Meta Business Partner, and ships both as a hosted remote MCP and a self-hostable PyPI package, so you can choose managed convenience or full control. Our scan gives it a near-perfect grade with a minimal capability footprint.

MCP Trust Score: A (98/100) · GitHub · PyPI

3. Google Ads MCP (official)

Google's own open-source server brings the Google Ads API to your assistant. It is read-oriented — retrieve account summaries, run GAQL queries, and inspect campaign, keyword, and performance data — and is still marked experimental, but being maintained by the Google Ads Developer Relations team makes it the trustworthy baseline for search and PPC reporting. It is ideal when you want conversational access to what your Google Ads spend is actually returning, without the risk surface of write access to live campaigns.

MCP Trust Score: A (98/100) · GitHub · PyPI

4. Ahrefs MCP Server

SEO is core to marketing, and Ahrefs is one of the few first-party SEO vendors shipping a maintained MCP. This official server connects your assistant to the Ahrefs SEO API v3 for backlink profiles, keyword ideas and search volume, rank tracking, and competitive and organic-traffic analysis. In practice it turns Ahrefs' dataset into a queryable tool, so keyword research and site audits happen inside a chat instead of across a dozen browser tabs.

MCP Trust Score: A (98/100) · GitHub · npm

5. Google Analytics (GA4) MCP

The official Google Analytics server is built on the GA4 Admin and Data APIs and gives agents analysis-ready access to traffic, user-behavior, funnel, and real-time reports, plus account, property, and custom-dimension discovery. It does server-side aggregation with safe defaults, so you can interrogate website and campaign performance without wrestling the GA4 query UI. For any marketer who has ever fought the Explorations builder, this is a genuine relief.

MCP Trust Score: A (98/100) · GitHub · PyPI

6. LinkedIn MCP Server

This is the most popular open-source LinkedIn MCP and the practical way to bring professional-network and B2B-social data into an agent: it scrapes person and company profiles, searches and details jobs, and reads the inbox through an authenticated browser session. It is distributed via uvx and Docker for quick local setup. One honest caveat: because it drives a live authenticated session and reaches broadly across LinkedIn, our scan classifies it as high capability and flags 2 high-severity findings — review them on its registry page before granting it credentials or running it unattended. The A score reflects clean packaging; the capability level reflects what it can do once authenticated.

MCP Trust Score: A (98/100), 2 high-severity findings · GitHub · PyPI

7. X (Twitter) MCP Server

A deliberately minimal community server for X/Twitter: it lets an assistant post tweets and search recent tweets through the Twitter API, and that is essentially the whole surface. That restraint is a feature — two tools make it a reliable, easy-to-audit building block for social-posting workflows, and it is one of the earliest and most widely referenced Twitter MCPs. It earned a perfect trust score, which is exactly what you expect from a tightly scoped server.

MCP Trust Score: A (100/100) · GitHub · npm

8. Reddit MCP Buddy

A clean, LLM-optimized Reddit server for browsing subreddits and front-page posts, searching content, and analyzing user activity and post comments — with no Reddit API key required for basic use. Marketers lean on it for social listening, trend spotting, and audience research, and it is actively maintained with frequent releases. It scored a perfect 100 on packaging, but note that our scan rates it high capability and flags 1 high-severity finding; check the detail on its registry page before you let it run autonomously.

MCP Trust Score: A (100/100), 1 high-severity finding · GitHub · npm

9. Semrush MCP (Universal)

Semrush does not ship an official MCP, and this community server fills that gap by wrapping the Semrush API to expose keyword, domain, backlink, and competitive-research data to AI agents. It is MIT-licensed and installs from PyPI for local or self-hosted use, giving SEO and content marketers conversational access to ranking and competitor intelligence from a top-tier tool. Our scan returns a clean A with a minimal capability profile.

MCP Trust Score: A (98/100) · GitHub · PyPI

10. Bluesky MCP Server

Built on the AT Protocol, this server brings the fast-growing Bluesky network into agent-driven social workflows. It can authenticate and post on your behalf, fetch your timeline, and perform social actions like liking and reposting, with image support. It is referenced in the official Model Context Protocol servers repository, and our scan rates it a clean A with a minimal capability footprint — a solid pick if Bluesky is part of your distribution mix.

MCP Trust Score: A (98/100) · GitHub · npm

How we graded these

Every score above comes from the MCP Trust Checker engine, which is deterministic and open source. It reads the actual source published to npm or PyPI and statically analyzes the server's capabilities, permissions, and risk signals — there is no LLM in the loop and no subjective judgment, so the same input always produces the same A–F grade and 0–100 score. A high capability level or a high-severity finding count is not automatically a veto; it is a signal to open the server's registry page, read the specific findings, and decide whether the risk fits your use case. That transparency is the point: you should know what you are granting access to before an agent acts on your behalf.

Browse the full, always-updated Marketing & Social category in the MCP Trust Registry for more servers and detailed reports, and scan any npm or PyPI package yourself for free through our public API before you install it.

npx mcptrustchecker