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Improvado's MCP server connects LinkedIn Ads to your AI agent. Query campaign performance, CPL, audience segments, and pipeline influence in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.
Stop clicking through Campaign Manager. Ask your AI agent for CPL by audience, CTR by creative, or pipeline influenced by LinkedIn — across accounts, campaigns, and date ranges. The MCP server handles the API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent reads LinkedIn Ads data and acts on it. Pause underperformers, adjust budgets, update audience targeting, and restructure campaigns — all through natural language commands.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up your AI agent to watch LinkedIn Ads accounts continuously. Get alerts when CPL spikes, budget pacing goes off track, or high-performing campaigns start to fatigue — before spend is wasted.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent reads LinkedIn Ads data and acts on it. Pause underperformers, adjust budgets, update audience targeting, and restructure campaigns — all through natural language commands.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
LinkedIn Campaign Manager reports clicks and CPL well, but connecting those leads to pipeline and closed revenue requires CRM data. Teams export LinkedIn CSVs and join them manually with Salesforce data — a weekly ritual that's always slightly stale.
Improvado joins LinkedIn Ads data with your CRM in one normalized model. Ask the MCP server which campaigns influenced pipeline, which audiences closed at the highest rates, and what your true blended ROAS is — without any manual joining.
Agencies and large teams managing multiple LinkedIn Ads accounts have no native cross-account view. Building a consolidated performance report means pulling exports from each account, reformatting, and stitching together — a process that takes hours for a report that's already outdated.
Improvado aggregates all connected LinkedIn Ads accounts into one queryable layer. Ask for cross-account CPL, spend allocation, or top creatives in a single question. The AI agent returns one consolidated answer.
LinkedIn's audience targeting is powerful but overlapping ad sets often compete against each other in auctions, driving up CPL without anyone noticing. Identifying and resolving overlap requires exporting audience details and comparing them manually — something that rarely happens.
Ask the MCP server to surface campaigns with similar audience parameters and high CPL. The AI agent identifies patterns in targeting overlap and suggests consolidation — without manual audit work.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
LinkedIn does not publish an official MCP server for LinkedIn Ads. Improvado provides a hosted MCP server that connects LinkedIn Ads to Claude, ChatGPT, Cursor, and other MCP-compatible AI tools — with pre-authenticated accounts, cross-platform normalization, and access to 500+ additional data sources.
Yes. Improvado normalizes LinkedIn Ads alongside CRM platforms like Salesforce and HubSpot. The MCP server can answer questions about pipeline influenced, cost per opportunity, and revenue attribution by LinkedIn campaign — combining ad and CRM data in one query.
Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport. Claude is the most widely used due to its native MCP support.
Campaigns, ad sets, creatives, impressions, clicks, CPL, conversions, audience segments (job title, seniority, company size, industry), spend, budget pacing, and lead gen form performance. Improvado normalizes the full LinkedIn Marketing API surface.
Yes. Improvado is SOC 2 Type II certified. OAuth tokens and API credentials are stored in an encrypted vault. Your AI agent queries through Improvado's secure proxy — credentials are never passed to the AI tool itself.
If LinkedIn Ads is already connected in Improvado, the MCP server is available immediately. For Claude Desktop or Cursor, add one configuration line. For new accounts, LinkedIn Ads authentication takes under 10 minutes.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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