// Model Context Protocol

Turn Claude into your marketing operations engine

Nifty Hub speaks the Model Context Protocol (MCP). Connect Claude and other MCP-compatible AI assistants to your Nifty Hub workspace so they can read clients, backlinks, tasks, SEO rankings, content and support tickets — and save insights straight back in — all from one conversation.

Claude
Nifty Hub
Nifty Hub

// What is MCP?

A standard bridge between your AI and your data

The Model Context Protocol is an open standard that lets AI assistants securely connect to external tools and data sources. Instead of copy-pasting reports or exporting CSVs, your AI assistant talks directly to Nifty Hub — querying live data and writing results back through a single authenticated connector.

The gap AI assistants couldn't close

Claude is only as useful as the data it can reach. Nifty Hub's MCP server plugs it straight into your marketing operations.

Without Nifty Hub MCP

  • No access to live client or campaign data
  • Manual CSV exports and copy-paste into chat
  • AI can't act on backlinks, tasks or rankings
  • Saved outputs live outside your workflow
  • Repetitive setup for every report

With Nifty Hub MCP

  • Live access to clients, backlinks, tasks & rankings
  • One authenticated connector — no exports needed
  • AI drafts reports, replies and next steps from real data
  • Save insights straight back into Nifty Hub
  • Works with Claude, Cursor, Claude Code and more

// Use Cases

What teams do with Nifty Hub + Claude

Workflows that replace hours of manual reporting and context-gathering with a single prompt.

Client & campaign research

Ask Claude to pull a client's full profile, recent backlinks, tasks and rankings without leaving the chat.

"Summarise Acme Plumbing's SEO activity this month and flag any overdue tasks."

Instant reporting

Generate client-ready reports from live Nifty Hub data — backlinks, quotas, rankings and content — in one prompt.

"Build a monthly delivery report for Client X across backlinks, blog posts and SEO rankings."

Link-building analysis

Surface live links, lost links, anchor text and domain authority so your AI can recommend the next move.

"Which of Client Y's backlinks went live last week and which were lost?"

Helpdesk & support context

Give Claude visibility into open tickets, priorities and assignees to draft replies and prioritise work.

"List all urgent helpdesk tickets assigned to me and draft a response for the oldest one."

// Connected Tools

19 tools your AI assistant can use

Once connected, these tools are available to Claude and any MCP-compatible client automatically.

Clients
list_clients

List all clients with quotas, tier, status, and website

Clients
get_client_details

Full client profile + recent backlinks and tasks

Link Building
list_backlinks

Backlinks by client or status with domain, anchor text, DR/DA

Project Tasks
list_tasks

Tasks by client or status with assignee, priority, due date

SEO
list_seo_rankings

Keyword rankings with position, previous position, URL

Content
list_blog_posts

Blog posts with AI score, focus keyphrase, live link

Content
list_social_posts

Social media posts by platform, date, and links

SEO
list_on_page_seo

On-page SEO tasks with optimisation checklist

SEO
list_aeo_tasks

AEO (Answer Engine Optimisation) tasks and status

SEO
sync_seo_rankings

Sync keyword rankings from Claude into Nifty Hub

SEO
list_toxic_backlink_history

Toxic backlink history with disavow directives and root-domain dedupe

Helpdesk
list_helpdesk_tickets

Helpdesk tickets with status, priority, assignee

Link Building
list_backlink_websites

Link-building website inventory with DR/DA, do-not-use blocking, pagination

Clients
get_client_intake_form

Client intake/prefill data including Brand Voice (file uploads)

Clients
get_client_quota_status

Monthly quota targets vs actual delivery, auto-calculated

AI Tools
save_data

Save data or analysis from Claude into Nifty Hub

AI Tools
list_synced_records

List recently synced records stored in Nifty Hub

AI Tools
search_synced_records

Search synced records by title or content

AI Tools
get_schema_enums

Dropdown option lists (backlink types, link categories, niches) to resolve IDs to names

// Compatible Clients

Connect your favourite AI assistant

Nifty Hub's MCP server works with any MCP-compatible tool. Claude is the most popular — here are the clients teams use.

Claude

Anthropic's AI assistant with built-in MCP connector support

+ Connect

Claude Code

Anthropic's CLI coding agent — configure via .mcp.json

Set up

Cursor

AI-powered code editor with MCP server support

+ Connect

Gemini

Google's AI assistant — connect via Google AI Studio

Set up

Codex (CLI & IDE)

OpenAI's coding agent with MCP compatibility

Set up

Other MCP-compatible tools

VS Code, Gemini CLI, Windsurf, Zed, n8n, Make, and more

Explore

// Setup

Up and running in minutes

Connect Claude to Nifty Hub in three steps.

01

Add Nifty Hub as a connector

In Claude.ai or Claude Desktop go to Settings → Connectors, click “Add custom connector” and connect Nifty Hub.

02

Sign in & approve access

Claude opens Nifty Hub. Log in with your account and approve the connection — your tools load automatically.

03

Start asking Claude

Begin a new chat. Claude can now read and save Nifty Hub data on your behalf using the connected tools.

Bring your AI assistant into Nifty Hub

Let Claude read your live marketing data and write insights back — no exports, no copy-paste, just one connected workspace.