MeetGeek
MCP server for MeetGeek API integration, providing tools to manage meetings, transcripts, highlights, and insights.
- Category
- Productivity
- Primary Subcategory
- Meeting Notes & Call Intelligence
View in the Claude registryIntegration details
Description
MeetGeek MCP Server provides programmatic access to MeetGeek.ai’s meeting intelligence capabilities through a structured API interface. Built on top of the official MeetGeek API, it enables developers and organizations to integrate meeting data and AI-generated insights directly into their internal tools, workflows, and applications. MeetGeek.ai is an AI-powered meeting assistant that records, transcribes, and analyzes meetings across major conferencing platforms, turning conversations into searchable, actionable knowledge. This server exposes core MeetGeek features such as meeting management, detailed metadata, full transcripts, summaries, highlights, insights, team-level views, and recording uploads, allowing teams to automate post-meeting workflows and extend MeetGeek’s value beyond its native interface. Designed for self-hosting and secure operation, the server uses a user-provided MeetGeek API key and provides a reliable way to embed MeetGeek’s meeting intelligence into enterprise systems, automation pipelines, and AI-driven products.
- Integration type
- Connector
- Verification status
Verified connector- Platform
- Claude
- Primary Subcategory
- Meeting Notes & Call Intelligence
- Secondary Subcategories
- None listed
- Brand
- MeetGeek
- Access
- Unknown
- First tracked
- 2026-04-15
- Tool count
- 8
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Claude Discoverability Score
MeetGeek isn’t discoverable through Claude’s Connector picker
It runs as a local Claude Desktop Extension, so Claude cannot surface or score it there today.
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What the current score measures
Remote Connectors Claude can surface from the Connector picker.
8 tools agents can invoke
How do I improve a Verified connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.