seismic
 · MCP Server

Seismic MCP — Sales Enablement Data, Instantly Queryable

Improvado's MCP server connects Seismic to your AI agent. Query content usage, buyer engagement, rep activity, and enablement impact in plain English. Works with Claude, ChatGPT, Cursor, and any MCP-compatible tool.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Read: Understand What Content Actually Drives Deals

Stop guessing which content works. Ask your AI agent for content engagement rates, document send frequency, buyer time-on-page, and deal influence by asset — across reps, regions, and deal stages.

Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Write: Manage Content and Assignments Programmatically

Update content metadata, reassign assets to new categories, flag outdated materials for review, and push updated playbooks to rep libraries — all through natural language commands via the MCP server.

250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.

⚠️ Monitor

Monitor: Track Enablement Impact Continuously

Set up your AI agent to track Seismic metrics automatically. Get alerts when content engagement drops, newly published assets go unused, or buyer engagement signals appear in key accounts.

Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

Update content metadata, reassign assets to new categories, flag outdated materials for review, and push updated playbooks to rep libraries — all through natural language commands via the MCP server.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Challenge 1

Content ROI Is Invisible

THE PROBLEM

Enablement teams produce dozens of assets per quarter but have no clear view of which ones influence revenue. Seismic shows views and sends, but connecting content engagement to closed deals requires joining Seismic exports with CRM data — a manual process that happens, at best, quarterly.

HOW MCP SOLVES IT

Improvado joins Seismic content data with CRM pipeline and closed-won deals in one normalized model. Ask the MCP server which assets had the highest deal influence, which content correlated with faster close rates, and where the content gaps are by deal stage.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Rep Adoption Reporting Is Always Late

THE PROBLEM

Enablement managers want to know if reps are using new playbooks and updated messaging. Pulling rep-level usage data from Seismic, formatting it, and distributing it takes hours — and by the time it lands, the window for coaching is past.

HOW MCP SOLVES IT

Ask the MCP server for rep adoption metrics on demand. The AI agent surfaces which reps are using updated content, who hasn't touched the new playbook, and which regions are lagging — in real time, without manual report building.

Challenge 3

Outdated Content Reaches Buyers

THE PROBLEM

Pricing changes, product updates, and rebrands make content stale fast. Identifying and archiving outdated assets before reps send them to buyers requires a manual audit of hundreds of documents — something that falls through the cracks in busy quarters.

HOW MCP SOLVES IT

Ask the MCP server to audit content by last-modified date, send frequency, and product tag. The AI agent surfaces assets that are actively being sent but haven't been updated in a defined timeframe, so teams can review before they reach a buyer.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

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.

Frequently Asked Questions

Does Seismic have an official MCP server?
+

Seismic does not publish an official MCP server. Improvado provides a hosted MCP server that connects Seismic to Claude, ChatGPT, Cursor, and other MCP-compatible AI tools — covering content performance, buyer engagement, rep activity, and deal influence data.

Can the Seismic MCP server connect content data with CRM pipeline data?
+

Yes. Improvado normalizes Seismic alongside CRM platforms like Salesforce and HubSpot. The MCP server can answer questions about content-influenced pipeline, asset impact on close rates, and engagement signals by deal stage — across both systems in one query.

Which AI tools work with the Seismic MCP server?
+

Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport.

What Seismic data is available through the MCP server?
+

Content assets, send history, buyer engagement (opens, time-on-page, shares), rep usage, playbook adoption, category taxonomy, deal associations, and content performance metrics. Improvado normalizes the full Seismic API surface into a queryable layer.

Is my Seismic data secure through the MCP server?
+

Yes. Improvado is SOC 2 Type II certified. API credentials are stored in an encrypted vault, and all queries run through Improvado's secure proxy. Your raw Seismic credentials are never exposed to the AI tool.

How quickly can enablement teams start querying Seismic with AI?
+

If Seismic is already connected in Improvado, the MCP server is ready immediately. For Claude Desktop or Cursor, one configuration line is all that's needed. For new accounts, Seismic authentication typically completes in under 15 minutes.

Does Seismic have an official MCP server?
Seismic does not publish an official MCP server. Improvado provides a hosted MCP server that connects Seismic to Claude, ChatGPT, Cursor, and other MCP-compatible AI tools — covering content performance, buyer engagement, rep activity, and deal influence data.
Can the Seismic MCP server connect content data with CRM pipeline data?
Yes. Improvado normalizes Seismic alongside CRM platforms like Salesforce and HubSpot. The MCP server can answer questions about content-influenced pipeline, asset impact on close rates, and engagement signals by deal stage — across both systems in one query.
Which AI tools work with the Seismic MCP server?
Any tool supporting the Model Context Protocol: Claude Desktop, ChatGPT, Cursor, Windsurf, Gemini, and custom applications using the MCP HTTP transport.
What Seismic data is available through the MCP server?
Content assets, send history, buyer engagement (opens, time-on-page, shares), rep usage, playbook adoption, category taxonomy, deal associations, and content performance metrics. Improvado normalizes the full Seismic API surface into a queryable layer.
Is my Seismic data secure through the MCP server?
Yes. Improvado is SOC 2 Type II certified. API credentials are stored in an encrypted vault, and all queries run through Improvado's secure proxy. Your raw Seismic credentials are never exposed to the AI tool.
How quickly can enablement teams start querying Seismic with AI?
If Seismic is already connected in Improvado, the MCP server is ready immediately. For Claude Desktop or Cursor, one configuration line is all that's needed. For new accounts, Seismic authentication typically completes in under 15 minutes.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics