glean · MCP Server

Glean + Improvado MCP — Knowledge Data, One Question Away

Improvado MCP extracts data from Glean and makes it queryable by any AI agent. Ask about search trends, content usage, and knowledge gaps without opening a single dashboard.

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

Read

Ask Any Question About Your Enterprise Knowledge

Improvado MCP connects your Glean data to AI, so teams can query search analytics, content engagement, and user activity in plain English — no SQL, no manual exports.

Example prompts

"What were the top searches this month?"

45 min → 30 sec

"Show content with highest engagement last quarter"

Manual → auto

"Which searches returned zero results this week?"

2 hrs → 1 min

Works with Claude ChatGPT Cursor +5

Write

Act on Insights Without Leaving Your AI Workflow

Push updates, curate content, and flag knowledge gaps directly from your AI agent — without switching context or opening Glean manually.

Example prompts

"Flag low-engagement content for review"

1 hr → 2 min

"Create content request for top zero-result queries"

Manual → auto

"Update metadata for underperforming knowledge articles"

3 hrs → 5 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Stay Ahead of Knowledge Gaps and Usage Trends

Monitor search spikes, content engagement drops, and emerging knowledge gaps automatically — your AI agent surfaces what matters before it becomes a problem.

Example prompts

"Alert me when zero-result queries spike 30%"

Daily manual → auto

"Which content hasn't been accessed in 90 days?"

Weekly report → instant

"Track new high-volume search terms this week"

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

Scattered Knowledge Metrics

The problem

Teams spend hours pulling Glean analytics manually to understand search behavior and content effectiveness.

How MCP solves it

Improvado MCP extracts Glean data and makes it instantly queryable via AI — no manual exports needed.

Try asking

Show search trends across all departments this quarter

Answer in seconds

All data sources, one query

Challenge 2

Hidden Knowledge Gaps

The problem

Identifying zero-result searches and underperforming content requires navigating multiple reports and manual analysis.

How MCP solves it

AI agents query search analytics directly and surface gaps or low-engagement content in seconds.

Try asking

List all zero-result queries from last 30 days

Full detail preserved

No data loss on export

Challenge 3

Delayed Response to Engagement Drops

The problem

Changes in content usage or sudden search spikes go unnoticed until employees report frustration or knowledge issues.

How MCP solves it

Continuous monitoring surfaces engagement anomalies automatically — teams get alerts before issues escalate.

Try asking

Flag content with 50% drop in views this month

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

What is Glean MCP?

Glean MCP is an integration that connects Glean data to AI agents via the Improvado MCP server. It allows teams to query search analytics, content engagement, and knowledge gaps using plain-language prompts.

What data does Improvado extract from Glean?

Improvado extracts search analytics, content engagement metrics, user activity, zero-result queries, and knowledge usage patterns from Glean, making all of it queryable through connected AI agents.

Do I need to write code to use Glean MCP?

No. Once Improvado MCP is configured, you interact with your Glean data through plain-language prompts in your AI agent — no SQL or scripting required.

Can I monitor Glean activity automatically?

Yes. You can set up AI-driven monitoring that tracks search trends, content engagement, and knowledge gaps — surfacing anomalies without manual review.

How is this different from the Glean UI?

The Glean UI is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.

Which AI agents work with Glean MCP?

Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.

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