MCP Servers That Remember Every Meeting.
You had a critical decision in a meeting 3 weeks ago but nobody remembers the exact reasoning , Deepgram transcribes every meeting, Mem0 stores decisions with persistent memory, and Sheets tracks all commitments
Works with every AI agent you already use
…and any MCP-compatible client
Waiting for input…
Gemini How It Works
After each meeting: Step 1 , Deepgram transcribes the recording with speaker diarization. Speaker A (Sarah, CEO): 'We need to switch to LLaMA for the classification pipeline.
GPT-4 costs are unsustainable.' Speaker B (Marcus, CTO): 'I agree but we need 2 sprints for the migration. The fine-tuning alone takes a week.' Step 2 , Mem0 stores the decision with context: 'June 4 leadership meeting: Decision to migrate classification from GPT-4 to LLaMA.
Reason: cost reduction ($15K/month $100/month). Timeline: 2 sprints. Owner: Marcus. Risk: fine-tuning quality uncertainty.' Three weeks later you ask: 'Why did we decide to switch to LLaMA?' Mem0 recalls the exact reasoning, who decided, and the expected timeline , without you reading a 45-minute transcript.
Step 3 , Sheets tracks the commitment: 'Marcus , Migrate classification to LLaMA , Deadline: June 18 , Status: In Progress.'
MCP Server Orchestration: 3 MCP Servers, one intelligent agent
Connect Deepgram, Mem0 and Google Sheets so your AI agent transcribes meetings with speaker diarization using Deepgram, stores key decisions and context in Mem0's persistent memory for instant recall across sessions, and tracks action items and commitments in Sheets.
Deepgram
triggerTranscribes audio with speaker diarization , identifies who said what with timestamps and confidence scores
transcribe_audio transcribe_url list_models get_usage Mem0
enrichmentPersistent memory stores meeting decisions, context and reasoning , instant recall across sessions without re-reading transcripts
add_memory search_memories get_memories delete_memory Google Sheets
actionAction item tracker with commitments, owners, deadlines and completion status
create_spreadsheet update_sheet_values append_sheet_values get_sheet_values Run This Automation Today
Connect Claude, ChatGPT, Cursor, or any AI agent to the Vinkius catalog and run this automation in minutes.
Build Your Own MCP
Turn any internal API into an MCP server. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Connect & Automate
The 3 servers this recipe uses are ready in the catalog. Connect them once, paste a prompt, and your AI runs the full workflow.
- Deepgram, Mem0 & Google Sheets ready in the catalog right now
- Add more from 4,700+ servers whenever you need
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers and recipes added every week
Superpowers you didn't know your AI had
The Vinkius catalog gives your agent access to 4,700+ MCP servers and the intelligence to combine them. Imagine never logging into another dashboard. Your AI handles the work across every tool, in one conversation. That's what this infrastructure was built for.
Cross-Platform Intelligence
Your agent doesn't just connect to tools. It understands the relationships between them. Data flows where it needs to go, automatically, with full context preserved across every platform.
Contextual Reasoning
Every decision your agent makes considers the full picture. It reads CRM data, checks calendars, reviews conversation history, and acts on everything at once. Not step by step. All at once.
Productivity at Scale
What used to take 45 minutes across five different dashboards now takes one sentence. Your agent runs the entire workflow end to end while you focus on decisions that actually matter.
Zero-Config Reliability
No API keys to paste. No webhooks to configure. No YAML to debug. Connect your MCP servers once, and your agent handles the rest. Every time, without intervention.
Made for
exactly this
Your AI agent taps into the entire Vinkius MCP catalog to handle these for you. You describe what you need. It does the rest.
Teams who lose decision context between meetings and waste time re-debating settled issues
AI enthusiasts building persistent meeting memory systems that recall any decision with full context
Managers tracking meeting commitments with automated accountability in Google Sheets
Remote teams who need reliable action item tracking from async video meeting recordings
Frequently Asked Questions About This MCP Server Orchestration
Which MCP servers do I need?
Three: Deepgram, Mem0 and Google Sheets.
Does this work with Claude Desktop?
Yes. Any MCP-compatible AI client works.
Does Mem0 remember across different chat sessions?
Yes. Mem0 provides persistent memory that survives across sessions.
Is my meeting data secure?
MCP servers authenticate via API keys. Deepgram processes audio via their API. Mem0 stores memories in your account.
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MCP servers used in this workflow
Deepgram
Deepgram MCP Server. Run full audio AI workflows from your agent. This server handles high-speed speech-to-text (STT) and text-to-speech (TTS) tasks, letting you process audio streams, generate voices, and manage the underlying API infrastructure—all via natural language commands. You can transcribe remote audio URLs, generate audio from text, and audit usage and keys without leaving your development environment.
Mem0
Mem0 gives your AI agent persistent memory. Store, search, and recall facts, preferences, and context across conversations using an industry-standard memory layer. Your agent remembers things—user habits, project details, past decisions—even after the chat window closes.
Google Sheets
Google Sheets MCP Server lets your AI client read, write, and manage data directly in Google Sheets. Use conversational commands to pull data from specific ranges, append new rows, or structure entire spreadsheets. It acts as an analyst, letting you manipulate complex data without opening the GUI or writing formulas.