RespondThat MCP server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@RespondThat MCP serverDraft a reply in Spanish to the customer asking about returns."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
RespondThat MCP server
An MCP server that lets any AI agent draft and send customer-support email replies, read a merchant's brand knowledge base, list connected mailboxes, and check credit balance — through the RespondThat API.
RespondThat is the pay-per-use AI for online sellers: it replies to customer emails in your brand voice and answers calls 24/7, in English, Spanish, Portuguese, French and German. No subscription.
Tools
Tool | Purpose |
| Draft an on-brand reply (not sent) |
| Send through the merchant's mailbox (charges credits) |
| List connected mailboxes |
| Read policies / FAQ / tone |
| Credit balance + usage |
Related MCP server: Resend MCP Server
Install (via skills.sh)
The package is published as a public GitHub repo and indexed by skills.sh
automatically — there is no npx skills publish command (skills.sh indexes
public repos, it does not take uploads):
npx skills add ryanyang828/respondthat-mcpThis drops the skill into your skills directory. Then point your MCP client at
the installed server.py (see "Configure" below). No skills.sh account is
required.
Configure your API token
server.py reads two environment variables:
Variable | Required | Default | Purpose |
| yes | — | Bearer token, format |
| no |
| API base URL (override for self-host) |
1. Get a token
Log into the RespondThat app (https://respondthat.com), then either:
open the API tokens page in the dashboard and click "Create", or
call the API while logged in (cookie session):
curl -X POST https://respondthat.com/api/token \
-H "Content-Type: application/json" \
-H "Cookie: session=<your_app_cookie>" \
-d '{"name":"my-agent"}'
# => {"token":"rt_xxxx","name":"my-agent","note":"Store this securely — it is shown only once."}The token is shown once — copy it immediately. Revoke anytime via
DELETE /api/token/{id} or the dashboard.
2. Wire it into your MCP client
Most clients (Claude Desktop, Cursor, VS Code, custom) take an mcpServers
block. Put the token in env so the server process can read it — do not
rely on a shell export, because the client spawns the server in its own
environment and won't see your shell variables:
{
"mcpServers": {
"respondthat": {
"command": "python",
"args": ["/abs/path/to/respondthat-mcp/server.py"],
"env": {
"RESPONDTHAT_API_TOKEN": "rt_xxxx"
}
}
}
}If you installed via npx skills add, replace the args path with the skill's
installed location (typically under ~/.skills/ or your configured skills root
— run npx skills list to find it).
Verify the wiring: ask your agent to call check_balance(). A successful
balance response (not an auth error) means the token is correct and reachable.
Dependencies
pip install "mcp[cli]" httpxNotes
draft_replynever sends — review the text before callingsend_reply.send_replysends a real email and charges pay-per-use credits ($0.20/email). Only call it after a human has approved the text.All tools require the merchant's mailbox to be connected in the app first.
RESPONDTHAT_API_TOKENis a secret. Keep it out of source control and never commit it.
Related
ListingGood — AI Recommendation Engine for Amazon sellers. Makes your listings compliant and recommendable by Amazon's shopping agents and ChatGPT/Gemini catalog filters.
This server cannot be deployed
Maintenance
Related MCP Connectors
Email for AI agents — send, receive as a webhook, manage domains, templates, routing.
Email for AI agents: send, read replies as threads, run campaigns, with per-key limits.
Connect any mailbox to Claude, ChatGPT & AI: read, send, reply, schedule & search emails.
Stateful email for AI agents — read inboxes, reply in-thread, draft with approval.
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