seismic · MCP Server

Search Your Seismic Content — Improvado MCP

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.

Example prompts

"Which assets had the highest buyer engagement in Q1? Show open rate, time spent, and deal influence."

35 min → 30 sec

"What content are top-performing reps using most in late-stage deals?"

20 min → 20 sec

"Show me content send volume and engagement by deal stage for the last 90 days."

1.5 hrs → 2 min

Works with Claude ChatGPT Cursor +5

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Update content metadata, reassign assets to new categories, flag outdated materials for review, and push updated playbooks to rep libraries — all through natural language commands via the MCP server.

Example prompts

"Archive all case studies with a last-modified date older than 18 months and flag them for content team review."

45 min → 5 min

"Assign the new competitive battlecard to all reps in the Enterprise segment."

20 min → 1 min

"Update the category tags on all solution briefs to include the new 'FY26 Messaging' taxonomy."

1 hr → 10 min

Every action logged · Fully reversible · SOC 2 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.

Example prompts

"Alert me when any asset published in the last 30 days has zero engagement after two weeks."

Manual → auto

"Weekly: send a report of top 10 assets by buyer engagement and deal stage distribution."

2 hrs → auto

"Flag accounts where buyers opened content but the rep hasn't followed up in 48 hours."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

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

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

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

Which content assets were most frequently shared in deals that closed won last quarter? Show by asset type and deal size.

Answer in seconds

All data sources, one query

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.

Try asking

Which reps haven't used the new Q2 messaging playbook yet? Show by region and segment.

Full detail preserved

No data loss on export

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

Show me assets sent to buyers in the last 30 days that haven't been updated in over a year.

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

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.

FAQ

Common 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 — all through Improvado's hosted MCP server.

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