Bring Meeting Notes
to Pydantic AI
Create your Vinkius account to connect Granola to Pydantic AI and start using all 12 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Granola MCP Server?
Connect your Granola.ai account to any AI agent and take full control of your AI-powered meeting notes, searchable conversation memory, and automated summaries through natural conversation.
What you can do
- Meeting Document Orchestration — List all meeting documents in your workspace and retrieve primary entry points for workspace interactions natively
- Live Content Retrieval — Access full structured content of meeting documents, parsing human-modified annotations and ML-generated notes flawlessy
- AI Summarization — Retrieve synthesized AI-generated blocks reducing bulk meeting content into concise overviews and key takeaway nodes limitlessly
- Action Item Tracking — Isolate specifically categorized target steps inferred from recorded meeting intent to automate post-meeting follow-ups
- Transcript Auditing — Retrieve full speaker-detected transcripts parsed locally on device, containing semantic and chronological speech metadata natively
- Participant Navigation — Identify meeting attendees by cross-referencing calendar arrays bound to Granola sessions synchronously
- Global Workspace Search — Execute full-text term detection across all documents to find specific discussions and prioritized ranked datasets
- Folder & List Management — Enumerate high-level categorization labels grouping documents physically inside directories to browse your workspace hierarchy
- Batch Retrieval Oversight — Fetch multiple meeting documents by their IDs in a single request to analyze complex cross-meeting dependencies securely
How it works
- Subscribe to this server
- Enter your Granola API Key (found in your Granola Settings)
- Start managing your meeting notes and searchable memory from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Managers & Team Leads — summarize back-to-back meetings and track action items without manual note-taking
- Product Managers — audit collaborative meeting documents and search across conversation history using natural language
- Executive Assistants — organize meeting folders and retrieve participant metadata through the chat interface
- Operations Teams — monitor organizational knowledge and verify meeting results in real-time through natural conversation
Built-in capabilities (12)
Extract action items identified from a meeting document
Retrieve the full structured content of a meeting document
Fetch multiple documents by their IDs in a single request
Retrieve metadata for a specific meeting document
Retrieve the list of participants for a specific meeting
Retrieve the AI-generated summary of a meeting document
Retrieve the full transcript of a meeting with speaker detection
List meeting documents within a specific date range
List all meeting documents in the Granola workspace with pagination
List all document lists (folders) in the Granola workspace
List the 20 most recent meeting documents
Full-text search across all meeting documents
Why Pydantic AI?
Pydantic AI validates every Granola tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Granola integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Granola connection logic from agent behavior for testable, maintainable code
Granola in Pydantic AI
Why run Granola with Vinkius?
The Granola connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 12 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Granola using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Granola and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Granola to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Granola for Pydantic AI
Every request between Pydantic AI and Granola is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my agent retrieve the AI summary of a specific Granola meeting?
Yes. Use the 'get_summary' tool. The agent will fetch the native generative results, reducing the bulk meeting content into synthesized blocks and key takeaways flawlessly.
How do I extract action items from recorded notes via chat?
Use the 'get_action_items' tool. Your agent will isolate targeted steps inferred from the meeting intent, enabling you to automate your post-meeting follow-up workflows natively.
Can I search for meetings from a specific date range through the agent?
Absolutely. Use the 'list_by_date' tool. Provide the start and end dates in ISO 8601 format. The agent will trigger temporal scoping routines to expose specific documents mapped historically.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Granola MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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