MCP
Check an email before an AI agent sends it: returns send, ask-a-human or block, with machine reason codes and prompt-injection detection.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Qorami MCP server
Exposes Qorami as native Model Context Protocol tools, so any MCP client (Claude Desktop, IDEs, agent frameworks) can check email before sending. Tools:
qorami_health— verify the server is wired up (API reachable, key valid, credits left). Never spends a credit; run it first.verify_email— get the decision (send / request_human_confirmation / do_not_send) + suggestions.check_action_status— poll a pending action until a human approves/blocks.
Run
Quickest — no clone, no install (published on npm):
QORAMI_API_KEY=qrm_ws_... npx qorami-mcp
Or from a local checkout:
npm install # installs the pinned deps from package.json
QORAMI_API_KEY=qrm_ws_... node qorami-mcp.mjs
Or with Docker:
docker build -t qorami-mcp .
docker run -i -e QORAMI_API_KEY=qrm_ws_... qorami-mcp
The server starts even without a key so clients can list the tools; a key is only
needed to actually call them. Tested against @modelcontextprotocol/sdk 1.29.x
(Node 18+). Get an API key in the dashboard.
Register in Claude Desktop
Add to claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": {
"qorami": {
"command": "npx",
"args": ["-y", "qorami-mcp"],
"env": { "QORAMI_API_KEY": "qrm_ws_..." }
}
}
}
Restart Claude Desktop; the Qorami tools appear. Any MCP-compatible client
(Cursor, Windsurf, custom agents) registers it the same way — same npx qorami-mcp
command over stdio.
First test: ask the client to run qorami_health. It confirms the API is
reachable and your key works without spending a credit, and returns your
remaining balance. Then tell the agent to call verify_email before it sends any
email. Full walkthrough: https://qorami.fr/mcp.
The contract
The agent must obey verify_email's nextAction.type:
nextAction.type | What the agent does | Runs unattended? |
|---|---|---|
send | Send the email. | ✅ yes |
do_not_send | Don't send. Optionally apply suggestions and re-verify. | ✅ yes |
request_human_confirmation | Pause. Poll check_action_status with the actionId until it flips to send or do_not_send. | ⏸ a human approves in the dashboard |
So an agent is fully autonomous on send / do_not_send; the one path that waits
for a person is request_human_confirmation — the human-in-the-loop on risky email
is the whole point. A verify-scoped key (recommended for agents) cannot
approve a held email itself, so it can't bypass its own review step.
Credits
Each verification costs 1 credit (a blocked email costs 0); verify_email
returns creditsRemaining. At zero credits the call fails — a careful agent then
treats the email as "cannot send" rather than sending blind. To keep an agent
running without anyone topping up by hand, enable auto-recharge in the
dashboard (save a card + a threshold). Billing is the workspace owner's job; the
agent's key only spends.
Full API (rate limits, idempotency, errors): https://qorami.fr/docs.
Frequently asked questions
What is MCP?
Check an email before an AI agent sends it: returns send, ask-a-human or block, with machine reason codes and prompt-injection detection.
How do I install MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is MCP open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains MCP?
It is published by loicfontaine-max. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.