tvram-backend-mcp
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., "@tvram-backend-mcpCheck if alice@example.com is a valid email"
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.
tvram-backend-mcp
An MCP server that exposes email verification as a tool an agent can call.
verify_email(address) -> { address, verdict: valid | invalid | risky, reason }Assumptions
We only design and build the mcp servers and not the actual logic and implementation behind the email verification .
MCP auth needs to be handled ( a demoable piece and not actual auth for now) , just a visual representation of it works .
Related MCP server: inboxvalid-mcp
The tool contract
This is what a model actually receives, from a live tools/list:
{"name": "verify_email",
"description": "Check whether an email address can receive mail. Returns a verdict of
\"valid\" (well formed and not flagged), \"invalid\" (malformed, mail cannot be
delivered), or \"risky\" (well formed but on a disposable provider, so delivery is
unreliable), together with the reason the verdict was reached. Accepts one address
per call.",
"inputSchema": {"type": "object", "additionalProperties": false,
"properties": {"address": {"type": "string"}},
"required": ["address"]},
"outputSchema": {"type": "object",
"properties": {
"address": {"type": "string", "description": "The address that was checked, lowercased."},
"verdict": {"type": "string", "enum": ["valid", "invalid", "risky"],
"description": "valid: syntax is well formed and the address looks
deliverable. invalid: syntax is malformed, the address cannot receive
mail. risky: syntax is well formed but the domain is a disposable
provider, so delivery is unreliable."},
"reason": {"type": "string", "description": "Which rule produced the verdict."}},
"required": ["address", "verdict", "reason"]}}Results come back as structuredContent, so an agent branches on verdict without
parsing prose:
{"address": "alice@example.com", "verdict": "valid", "reason": "syntax is well formed and the domain is not flagged"}
{"address": "not-an-email", "verdict": "invalid", "reason": "address does not match the expected email syntax"}
{"address": "alice@mailinator.com", "verdict": "risky", "reason": "mailinator.com is a disposable email provider"}Design choices
Reason for all result irrespective of valid/risky/invalid .
Standalone service that can be run .
Error handling
Return only user related errors and not system internal errors, in case of system error just return
internal server error
Retry and backoff
MAX_RETRIES = 2 with 0.25 * 2**attempt — three attempts over roughly 0.75s of waiting.
Only 5xx errors are retried since its related to the sever handling whereas 4xx errors means the user/api input is not valid .
Setup
Requires Python 3.12+ and uv.
uv sync
uv run python mock_server.py # mock backend on 127.0.0.1:8000
uv run python mcp_server.py # MCP serverCopy .env.example to .env to change anything; every value there is already the
built-in default, so it runs with no configuration at all.
Connecting an agent
With both servers running:
claude mcp add --transport http tvram-email-verification http://127.0.0.1:8001/mcpThen /mcp → select the server → Authenticate. A browser opens a consent screen;
approving redirects back and the connection completes.
This server cannot be deployed
Maintenance
Related MCP Connectors
MCP server for Tomba email finder, verification, and contact enrichment API
Emailable MCP — wraps the Emailable email verification API (emailable.com)
Cloudflare Workers MCP server: email-validator
An MCP server that provides tools to validate an email address using Dilli Email Validation API.
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