Bridge Your AI Ecosystem: Introducing the Hedy MCP Server
Connect Hedy meeting intelligence with Claude and other MCP-compatible AI tools through 18 specialized tools, OAuth 2.1 authentication, and read-write access to sessions, topics, highlights, and to-dos.
https://api.hedy.bot/mcp. For the full developer reference, see the deep-dive guide.
Your meeting insights shouldn’t live in isolation. Whether you’ve captured brilliant client conversations, essential lecture notes, or crucial project discussions in Hedy, that valuable intelligence deserves to flow seamlessly through your entire AI workflow.
That’s exactly why we’ve launched the Hedy MCP Server – a new feature that bridges your conversation intelligence with other AI tools, creating a unified ecosystem where your meeting data works harder for you.
What is the Hedy MCP Server?
The Model Context Protocol (MCP) is a universal standard that allows AI applications to connect and share information securely. Think of it as a translator that helps different AI tools understand and access each other’s data.
Our MCP server acts as a bridge between Hedy and other AI tools like Claude, giving you the power to reference your complete conversation history, highlights, and action items from within your preferred AI assistant. Instead of switching between apps or manually copying information, your meeting intelligence becomes instantly accessible wherever you’re working.
Key Benefits and Use Cases
For Business Professionals
Project Continuity: Reference past client meetings while drafting proposals in Claude or other AI tools. Instead of hunting through session histories, simply ask your AI assistant to pull relevant context from your Hedy conversations.
Strategic Planning: Use session insights to inform business decisions across different AI workflows. Your quarterly planning becomes more informed when you can easily access all client feedback and stakeholder discussions.
Client Relationship Management: Access your complete conversation history when preparing for follow-ups, ensuring every interaction builds meaningfully on previous discussions.
For Knowledge Workers
Research Integration: Connect meeting insights with research workflows in other AI tools. Interview transcripts, expert conversations, and research discussions become part of a unified knowledge base.
Content Creation: Use captured highlights and session data to inform writing and analysis. Your AI writing assistant can now reference specific quotes, insights, and themes from your actual conversations.
Decision Support: Access comprehensive meeting context when making important decisions, ensuring no crucial detail gets overlooked.
For Consultants and Coaches
Client Progress Tracking: Reference past coaching sessions when planning future conversations, creating continuity that enhances client outcomes.
Pattern Recognition: Use AI tools to analyze trends across multiple client sessions, identifying insights that might not be visible in individual meetings.
Documentation Enhancement: Enrich reports and client communications with detailed session insights, making your work more thorough and impactful.
How It Works
Simple Setup Process
Step 1: Add the Server
- Open your AI client’s MCP server settings
- Look for “Add MCP Server”, “Connect Remote Server”, or **“Add Integration”**
- Enter the server URL:
https://api.hedy.bot/mcp - If connecting through Claude Code, use this command:
claude mcp add --transport http hedy https://api.hedy.bot/mcp - Click “Add” or “Connect”
Step 2: Authorize Access
- Your AI client will open a browser window
- Sign in with your Hedy account
- Review the requested permissions
- Click “Allow” to authorize
- Return to your AI client
That’s it! No configuration files or API keys needed.
Available Data Access
Once connected, you can access your complete Hedy ecosystem:
- Sessions: Full meeting transcripts, AI-generated summaries, and session metadata
- Highlights: Key moments you’ve captured during conversations, complete with AI analysis and insights
- To-Dos: Action items automatically extracted from your meetings and discussions
- Topics: Organized conversation themes and cross-session insights that connect related discussions
Security and Privacy
The MCP server maintains Hedy’s commitment to data protection through secure API authentication and user-controlled access permissions. Your conversation data remains protected while becoming more useful across your AI toolkit.
Real-World Applications
Scenario 1: Strategic Business Planning
A consultant preparing for quarterly planning can ask Claude: “Based on all my client feedback sessions in Hedy from the past quarter, what are the top three concerns clients have raised about our industry?” Instead of manually reviewing dozens of sessions, the AI assistant pulls relevant insights directly from Hedy’s organized data.
Scenario 2: Academic Research
A researcher conducting thematic analysis can seamlessly connect their Hedy interview transcripts with other AI tools, asking questions like: “What common themes appear across my interviews with startup founders?” The AI can analyze patterns across multiple conversation sessions without manual data transfer.
Scenario 3: Personal Knowledge Management
A professional can ask their AI assistant: “What action items from my meetings this week are still pending?” The assistant queries Hedy’s to-do system directly, providing a comprehensive view without switching applications.
Getting Started
This experimental feature is available exclusively to Hedy Pro subscribers due to the increased processing requirements for cross-platform data access. For a full reference of the 18 tools, OAuth 2.1 authentication flow, and write-capable workflow patterns, see our developer guide to the Hedy MCP Server.
To begin using the MCP server:
- Ensure you have a Hedy Pro subscription
- Configure the connection in your preferred AI tool (detailed setup instructions available in our help docs)
- Start querying your Hedy data from other AI platforms
Compatible with Claude and other MCP-enabled AI tools, with the universal MCP standard ensuring broad compatibility as the ecosystem grows.
What’s Next?
The Hedy MCP server will continue evolving based on user feedback and real-world usage patterns. We’re particularly interested in hearing how you integrate this capability into your workflows and what additional functionality would make it even more valuable.
Ready to bridge your AI ecosystem? Generate your API key in Hedy Pro and start connecting your conversation intelligence with your favorite AI tools. Because at Hedy, we believe brilliance should flow effortlessly through your entire workflow.
Get started today:
- View setup documentation in our help docs
- Join our Slack community for support
- Share your feedback and feature requests
Transform isolated insights into connected intelligence – your conversations deserve to work harder for you.
Frequently Asked Questions
What is the Hedy MCP Server?
The Hedy MCP Server is a remote MCP-compatible API at https://api.hedy.bot/mcp that lets AI assistants like Claude Desktop access your Hedy meeting data. It exposes 18 specialized tools for sessions, topics, highlights, and to-dos using the Model Context Protocol standard.
Which AI tools work with the Hedy MCP Server?
Any MCP-compatible client works. Confirmed compatible: Claude Desktop (macOS/Windows), Claude Code, Cline, Zed, Cursor, and custom implementations using the MCP SDK. The protocol’s open standard means new MCP-enabled tools are supported automatically.
Do I need a Hedy Pro subscription for MCP?
Yes. Full MCP server access requires Hedy Pro ($12.99/month or $99.99/year). Free tier API access is suitable for testing only, not production workflows.
How does Hedy MCP authentication work?
The Hedy MCP server uses OAuth 2.1 — no API keys required for the standard setup. Your AI client opens a browser window where you sign in with your Hedy account, review permissions, and authorize access. Tokens can be revoked anytime in Account Settings.
What can I do with Hedy data through MCP?
Ask Claude things like “find the budget discussion from last week’s client call,” “compare the three frameworks from weeks 4-6 of my lectures,” or “pull all open action items from this month’s meetings.” AI assistants pull relevant context across your meeting history without manual searching.
