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Mangools

Mangools MCP Server

Yes. Mangools has a community-built MCP server, hosted at github.com/l-media/mangools-mcp-server.

COMMUNITY MCP✓ alivePublic APIAuth: api-keySDKs: node
MCP status verified 2026-05-24Agent-readiness 2/10
Data from Buddy's database, auto-rechecked weekly

What is the Mangools MCP server?

Mangools doesn't ship an official MCP server, and no third-party bridge exists either, both Composio and Viasocket return 404 for Mangools. That makes Mangools the only tool in the SEO pilot with no MCP path at all, official or community. If you need an LLM to interact with Mangools data right now, the only option is custom code that calls the KWFinder/SERPChecker API directly and feeds responses back into the LLM. For most marketers, that's a higher bar than the click-to-connect MCP experience offered by Ahrefs, Semrush, and SE Ranking.

For the rest of the picture see the Mangools review, full pricing breakdown, .

Inside Claude / Cursor / Codex

What you can build with the Mangools MCP

Illustrative workflow examples. Exact tool names, parameters, and outputs come from Mangools's MCP server schema — check the docs for the live surface.

mangools-mcp
>Show me my top 10 keywords by traffic this month
mangools.get_top_keywords({ limit: 10 })
TOP 5 KEYWORDS · LAST 30 DAYS
marketing automation12,400 visits
email marketing software8,920 visits
seo tools 20266,310 visits
best crm small business4,580 visits
mcp marketing tools2,140 visits
Scale to top 50? Just ask.
mangools-mcp
>Which competitors rank for keywords I'm losing positions on?
mangools.compare_competitor_overlap()
LOSING POSITIONS · 3 KEYWORDS
marketing automation tools→ rival.com (#3)
best email marketing 2026→ competitor.io (#1)
ai marketing assistant→ newentrant.ai (#5)
Want a full SERP gap report?
mangools-mcp
>Audit my newest blog post and flag low-effort SEO fixes
mangools.audit_url({ url: "mysite.com/post" })
QUICK WINS · 3 FOUND
Missing meta descriptionfix in 30s
H1 doesn't match target keywordfix in 1m
No internal links to top pagesfix in 2m
TMB SCORE FOR MangoolsMCP: CommunityAgent fit: 2/10
Read review →

What Mangools exposes

Mangools positions itself as the focused, clean-UX alternative to the full SEO suites, not the broadest feature set, but the easiest to learn and use. The SEO Package covers five sub-tools: KWFinder (keyword research with search volumes and SEO difficulty), SERPChecker (localized SERP analysis with 49 metrics), SERPWatcher (daily rank tracking with city-level localization), LinkMiner (backlink analysis), and SiteProfiler (SEO metrics overview for any URL). AI Search Watcher tracks brand visibility across ChatGPT, Anthropic, Google, and Perplexity. The KWFinder + SERPChecker API exposes search volumes, keyword ideas, SEO difficulty, and 45+ SEO metrics (Moz + Majestic data per URL) but is private-access only, every paid plan includes an API token with rate limits tied to the tier, and higher volumes require contacting sales.

Access, auth, and limits

There's no MCP access path documented. Mangools hasn't published an MCP roadmap or a vendor-built MCP server, and the third-party brokers (Composio, Viasocket) haven't built one either. The closest workaround is writing your own MCP wrapper around the Mangools API, but that requires both API access (every paid plan ships an API token) and engineering effort to define MCP tool schemas, handle auth, and host the wrapper. Auth for the underlying API is request-token-based with rate limits tied to your plan tier, see the API section below for the full picture.

Where it works and what to build

No documented client compatibility because there's no server to compatible with. Realistic workflows are limited to whatever custom integration you build: typically a thin layer that pulls keyword research data from KWFinder, SERP analysis from SERPChecker, or backlink data from LinkMiner, then exposes those as tools to Claude / ChatGPT / Cursor via your own MCP wrapper. None of this is supported or documented by Mangools, so expect to maintain the integration yourself.

Which AI clients can use Mangools MCP?

Not every AI assistant supports MCP natively. Per-client picture for Mangools:

ClientSupportNotes
Claude (Desktop/Web)API-only (custom code)No MCP path of any kind (no official, no Composio, no Viasocket); call the KWFinder/SERPChecker API from custom code.
Claude CodeAPI-only (custom code)No MCP path of any kind (no official, no Composio, no Viasocket); call the KWFinder/SERPChecker API from custom code.
ChatGPTAPI-only (custom code)No MCP path of any kind (no official, no Composio, no Viasocket); call the KWFinder/SERPChecker API from custom code.
CursorAPI-only (custom code)No MCP path of any kind (no official, no Composio, no Viasocket); call the KWFinder/SERPChecker API from custom code.
CodexNot supportedCodex is MCP-native; no MCP server to connect.
WindsurfNot supported
ClineNot supported
GeminiAPI-only (custom code)No MCP path of any kind (no official, no Composio, no Viasocket); call the KWFinder/SERPChecker API from custom code.
n8nAPI-only (custom code)HTTP Request node + API key.

How to connect Mangools MCP to Claude Desktop

Add this block to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows), then restart Claude Desktop. Cursor and Codex use a similar schema.

{
  "mcpServers": {
    "mangools": {
      "command": "npx",
      "args": ["-y", "<server-package-name>"],
      "env": {
        "MANGOOLS_API_KEY": "your-api-key-here"
      }
    }
  }
}
// Server source: https://github.com/l-media/mangools-mcp-server
// Check the server's README for the exact "command" and required env vars.

Some MCP servers require an API key. Check the source page for setup: github.com/l-media/mangools-mcp-server.

Does Mangools MCP cost extra?

Community (free)

The Mangools MCP server is community-built — free to run, but you still pay for your Mangools subscription.

  • Community MCPs are normally self-hosted from a GitHub repo. There's no extra license fee.
  • Your Mangools account still needs whatever plan is required to access the data the MCP server queries.
  • Trade-off: zero MCP cost, but no guarantee it'll keep working when Mangools changes their UI or API.
MCP cost
Free (self-hosted)
Subscription required
Yes (your tool plan)
Maintained by
Community

Mangools subscription pricing

PlanMonthlyAnnual / mo
Mangools Basic$37.7$37.7
Mangools Premium$52.7$52.7
Mangools Agency$97.7$97.7

Source: mangools.com/plans-and-pricing. Verified 2026-05-24.

Mangools also publishes a REST API

Mangools publishes an API, but per-tier gating wasn't extracted automatically.

Auth method
api-key
SDK languages
node
OpenAPI spec
Webhooks
Structured outputs
See Mangools API page

What you can do with Mangools from an AI agent

Three shapes of agent workflow. Pick the row that matches how you actually use Claude / Cursor / Codex day to day.

INDIE / SOLO

Skip the dashboard, ask Claude

  • "What keywords moved this week?" answered in seconds
  • Quick one-off questions without leaving the editor
  • Pipe Mangools data into your personal notes / docs without writing a script
Effort: 30 seconds — paste the config, restart Claude
AGENCY

Run client analysis at agent speed

  • Hand the MCP server to your team — every consultant can ask Claude about any client's Mangools account
  • Multi-account workflows without context-switching the Mangools UI
  • Reports you'd normally spend hours on, done before standup
Effort: An afternoon — set up auth per client
IN-HOUSE TEAM

Production agent workflows

  • Embed in your internal Codex / Cursor agents that triage Mangools data daily
  • Combine with other MCP servers in a multi-step agent chain
  • Constrain agents to read-only roles to keep production Mangools safe
Effort: Days — security review + role config

Limits and gotchas

  • Community MCP — not maintained by Mangools. Check the README and last-update date before depending on it.
  • Fallback: the REST API works for any flow the MCP server doesn't cover.
  • Auth flow: MCP servers usually inherit the underlying API auth method (api-key). Expect to configure that on first install.
  • Rate limits: MCP calls count against your underlying Mangools API quota. Burst usage from a curious agent can drain a daily allowance fast.
2/10

Agent-readiness verdict

Score: 2/10 on MCP-readiness. Mangools is the only SEO tool in the pilot with neither an official MCP nor a third-party bridge. For teams choosing an SEO tool primarily for AI-stack fit, this is a meaningful gap, Ahrefs (official MCP), Semrush (official MCP), SE Ranking (official MCP with 160 tools), Moz (Composio third-party), and SurferSEO (Viasocket third-party) all have some agent-accessible path. Mangools doesn't. The data is there in the API, but turning it into an MCP-style integration is engineering work, not configuration.

Moderate agent fit with community MCP support. Mangools offers documented public APIs and a Node SDK, plus an active community MCP server that enables Claude integration, but lacks official MCP hosting and OpenAPI specs that would streamline agent implementation. The absence of webhooks and structured outputs limits real-time automation potential.

MCP server availablePublic API with docsMultiple SDK languages

Scored 2026-05-24 by Joonas (TMB).

Mangools MCP & API FAQ

Is the Mangools MCP server official?+
No — it's a community build, not maintained by Mangools. Expect occasional drift and check the README before depending on it for production agents.
Can I use the Mangools MCP with Cursor or Codex?+
Yes — MCP is a protocol, not Claude-specific. Any MCP-capable client (Cursor, Codex, Windsurf, Zed) can use the same server config with minor path adjustments.
Does Mangools have a public API?+
Yes — public REST API at mangools.com/api, auth via api-key. Official SDKs: node.

Sources

Data verified by Joonas on the dates shown. MCP server status auto-rechecked weekly.

Joonas Rotko
Joonas RotkoAuthor & Founder of That Marketing Buddy

10+ years in digital marketing. I review marketing software for AI-stack fit: real pricing, MCP and API support, and how cleanly each tool drops into an AI agent workflow, cross-checked against verified data and real user feedback.