Support for Model Context Protocol (MCP) to enable AI integration

It would be fantastic if Rolodex supported the Model Context Protocol (MCP). MCP provides a standardized way for large language models (such as ChatGPT) to securely and contextually interact with external data sources through a clean API abstraction.

By implementing MCP, Rolodex would enable AI systems to ask intelligent, high-level questions about contacts, companies, communication history, and relationship data — without requiring custom API work for each use case.

Example AI use cases:

• “Who on my team has had a lot of recent interactions with CFOs in the past 6 weeks?”

• “Give me a list of CEOs we've been in touch with who work in construction companies.”

• “Who have we talked to about ERP recently?” (based on email and calendar subjects)

• “I'm organizing an event about SAP in Brussels for C-level executives — which contacts from my network should I invite?”

• “What are the top 5 industries that my colleague [name] has engaged with over the past 12 months?”

• “For each Rolodex team member, show the top 5 companies they've interacted with during the selected period.”

• “Give me a list of companies we’ve had contact with in the last 24 months that have between 20–500 employees and are active in one of the following sectors: fire detection, access control, or video surveillance.”

Benefits:

• Smarter, context-aware assistance from AI, powered by real-time Rolodex data

• No need for one-off API integrations or ad hoc queries

• Interoperability with AI platforms that support MCP (e.g., OpenAI, Anthropic Claude, Microsoft, Google DeepMind, LangChain, N8N, MuleSoft, …)

• High value for knowledge-driven sales, business development, and relationship teams

• Enables a new class of conversational analytics and opportunity discovery based on existing relationship data