Thanks.io

@Thanks.io create a new mailing list called 'Q1 2024 Product Launch' and add our top 50 enterprise customers from the CRM export I just uploaded.

I've created the mailing list 'Q1 2024 Product Launch' (ID: a7f3c891-4b2e-4d5a-9c8f-1e6d4a2b9f3c). I then used the Create Multiple Recipients tool to batch-add 50 contacts from your CSV. All recipients are now enrolled and ready for direct mail campaigns. You can view the list in your Thanks.io dashboard under 'Mailing Lists' to verify addresses and customize handwriting styles before sending.

This example demonstrates list creation and batch recipient import — two core workflows for launching a direct mail campaign. Requires a valid API key with write permissions. The MCP doesn't validate postal addresses; Thanks.io will flag undeliverable addresses during campaign execution, so review the dashboard before finalizing sends.

@Thanks.io search for all recipients in our 'Holiday 2023' mailing list who live within 10 miles of our Seattle office, then show me a count by zip code.

I used the Buy Radius Search Mailing List tool with your Seattle office address and a 10-mile radius, cross-referencing against the 'Holiday 2023' list. Here's the breakdown: 98101 (12 recipients), 98109 (8 recipients), 98121 (5 recipients), 98104 (3 recipients). Total: 28 recipients within range. Note that this is an illustrative summary — actual results depend on Thanks.io's address database and your list's current state. You can export the full dataset from the dashboard for deeper segmentation.

Showcases the radius search capability, useful for geo-targeted campaigns (local events, store openings). The tool may incur usage costs if it appends new data to your account. Always confirm pricing in Thanks.io's billing settings before running large radius queries. The MCP returns list IDs, not full recipient objects, so follow-up calls may be needed for detailed contact info.

@Thanks.io draft a summary of all active mailing lists in our account, then recommend which lists to archive based on last-send date and recipient overlap.

I retrieved metadata for 14 active mailing lists. Three lists ('Webinar Attendees May 2023', 'Trade Show Leads June 2023', 'Beta Testers v1') haven't been used in over 180 days and share 60%+ recipient overlap with your 'Engaged Customers 2024' list. Recommendation: archive these three to reduce clutter and avoid duplicate sends. The remaining 11 lists have recent activity or unique audiences. This analysis is based on list creation dates and recipient counts visible via the API — Thanks.io doesn't expose send history through the MCP, so verify campaign logs in the dashboard before archiving.

Demonstrates the AI's ability to synthesize list data and provide operational recommendations. The MCP can read list metadata but not full campaign analytics (open rates, delivery status), so this example relies on structural signals like overlap and age. Use this as a starting point, then cross-check with Thanks.io's reporting UI for send performance before making deletion decisions.

When handwritten postcards beat email for high-ticket leads

A 3-person real estate team closes 15-20 deals a quarter and wants to send handwritten postcards to past clients and warm leads. Thanks.io's radius search tool lets them buy mailing lists around new listings, and the batch recipient creation handles 50-100 contacts at once without manual entry. The sub-account feature keeps each agent's return address separate, so replies route correctly. This works when your team has budget for physical mail ($2-5 per card) and a CRM that can export address lists. If you're sending under 20 cards a month, the API overhead isn't worth it—just use Thanks.io's web interface. But for teams running quarterly campaigns to 200+ contacts, the MCP turns a 4-hour manual task into a 10-minute Switchy prompt.

Scaling personalized thank-you notes without hiring coordinators

A 6-person nonprofit development team sends handwritten thank-you cards to donors who give over $500. They used to batch these monthly in a spreadsheet, but cards went out 3-4 weeks late. With the Thanks.io MCP in Switchy, the team pulls donor data from their CRM, creates a mailing list per campaign tier, and queues cards the same day gifts clear. The delete-by-address tool cleans up duplicates when a donor gives twice in one month. This scenario wins when you're sending 50-300 cards per month and timing matters—late thank-yous kill retention. If your volume is under 30 cards monthly, the setup cost outweighs the speed gain. For teams where a week's delay costs thousands in repeat donations, this MCP pays for itself in quarter two.

When physical invites drive 3x the RSVP rate of email

A 5-person B2B sales team hosts quarterly executive dinners and needs 15-20 attendees per event. Email invites get 8% RSVPs; handwritten cards get 25%. The Thanks.io MCP lets them pull target accounts from Salesforce, create a mailing list per event, and send invites 3 weeks out. The radius search tool finds prospects near the venue when they need to fill last-minute seats. This works when your average deal size justifies $3-5 per invite and you're targeting 100-200 accounts per quarter. If you're inviting under 50 people or your events are virtual, stick with email. But for teams where one extra attendee covers the cost of 40 cards, the MCP turns invite management into a 15-minute pre-event task instead of a multi-day project.