Connect Lynqu to Claude, ChatGPT, Gemini, and any AI tool. Manage cards, capture leads, and track analytics through natural conversation.
Add Lynqu as an MCP server in your AI tool. Paste the configuration, authenticate with your account, and you're connected in under two minutes.
Use natural language to interact with your data. Ask things like "Show me my leads from this week" or "List all team cards" and get instant results.
Your AI assistant creates cards, updates pipeline stages, exports analytics, and more. Every action syncs instantly with your Lynqu account.
Every tool your AI assistant needs to manage your Lynqu workflow.

...and any tool that supports the Model Context Protocol
Every action is scoped to your authenticated account. AI tools can only access data you explicitly authorize.
MCP tools use the same secure, production-grade API as the Lynqu app. No separate attack surface.
Every request is logged for full auditability. Your data is never shared with or stored by the AI tools.
Three teams using Lynqu's AI features in production. Every scenario below is something a human used to do manually and now takes less than a minute.
Field Rep + Claude
A field sales rep connects Lynqu to Claude Desktop via MCP. At the end of a conference day she types 'summarize every card I scanned today and draft a follow-up for each'. Claude pulls the scans from Lynqu, clusters them by persona (decision maker, influencer, champion), and drafts three personalized emails. She reviews and sends in under ten minutes.
<10m
Day-end recap
MCP
Claude Desktop
3
Personas clustered
Sales Ops + ChatGPT
A sales ops lead connects Lynqu to ChatGPT and asks plain-English questions like 'which reps captured the most qualified leads at last month's trade show'. ChatGPT queries Lynqu's API, formats the answer, and surfaces a ranked list with pipeline values. What used to take a custom Salesforce report now takes a sentence.
1
Sentence query
API
Real-time data
0
Custom reports
GPT-4o Vision Scan
Lynqu's AI scanning pipeline runs every physical business card image through GPT-4o vision with a cross-reference step against the extracted email domain and company website. The result is roughly 94% field accuracy on noisy, embossed, two-sided event cards — a measurable jump from Tesseract-only OCR, and high enough that CRM records land clean the first time.
94%
Field accuracy
GPT-4o
Vision pipeline
0
Manual re-entry
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