RespondThat MCP server

RespondThat MCP server

Enables AI agents to draft and send customer-support email replies, access brand knowledge, list mailboxes, and check credit balance via the RespondThat API.

Category
Visit Server

README

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_reply(thread_text, language="en") Draft an on-brand reply (not sent)
send_reply(to, subject, text) Send through the merchant's mailbox (charges credits)
list_mailboxes() List connected mailboxes
list_brand_kb(language="all") Read policies / FAQ / tone
check_balance() Credit balance + usage

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-mcp

This 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
RESPONDTHAT_API_TOKEN yes Bearer token, format rt_...
RESPONDTHAT_API_BASE no https://respondthat.com 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]" httpx

Notes

  • draft_reply never sends — review the text before calling send_reply.
  • send_reply sends 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_TOKEN is a secret. Keep it out of source control and never commit it.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured