inboxvalid-mcp
Click on "Install 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., "@inboxvalid-mcpVerify the email address customer@example.com"
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.
inboxvalid-mcp
An MCP server exposing a verify_email tool, built for the InboxValid.ai
internship assignment (Task 2, Option A).
What it does
Exposes one MCP tool, verify_email(address), that runs three checks in
order and returns a structured result:
Syntax — pragmatic email-shape validation (not full RFC 5322, which is mostly academic in practice).
Disposable domain — checks the domain against a small mocked known-bad list.
MX record — a real DNS MX lookup confirming mail-routing plausibility (not mocked).
Checks run in this order because syntax and disposable-domain checks are local and free, while MX is the only network-bound step — so a malformed address never triggers a DNS call at all.
Tool contract
Input
{ "address": "user@example.com" }Output
{
"email": "user@example.com",
"status": "valid",
"reason": "ok",
"checks": {
"syntax": { "ok": true, "normalized": "user@example.com", "domain": "example.com" },
"disposable": { "ok": true, "reason": null },
"mx": { "ok": true, "checked": true, "reason": null }
}
}status is one of valid, invalid, or risky. reason is a
machine-readable code for quick branching; checks gives the per-stage
breakdown for logging/debugging.
Related MCP server: Email Verification MCP Server
Why MCP instead of REST
The assignment asks for a clean, well-typed tool interface another system/agent can consume — that's what MCP demonstrates directly, rather than a conventional HTTP route. Verification logic lives in its own modules independent of MCP, so a REST wrapper could be added later without touching the validation code.
Validation semantics
invalid— definitive failures: malformed syntax, or a domain confirmed (viaENOTFOUND/ENODATA) to have no MX records at all.risky— the address deserves caution but there isn't enough evidence to reject it outright. Covers disposable domains, and an MX lookup that couldn't complete due to a transient DNS/network problem.valid— syntax, disposable-domain, and MX checks all passed.
Error handling and fail-open behavior
A DNS timeout or non-definitive resolver error is not treated as proof
an email is invalid — checkMx returns checked: false and the result
becomes risky, not invalid. Only a confirmed no-MX-records result is
treated as definitively invalid.
The MX module also pins explicit public resolvers (8.8.8.8, 1.1.1.1)
rather than trusting the OS-configured resolver — see Challenges
below for why. Trade-off: this can be less suitable for corporate/VPN
setups relying on internal or split DNS.
The MCP tool itself has a final defensive catch: any unexpected internal
failure is converted into a structured risky result with
reason: "internal_error", so a caller always gets an actionable result
instead of an unhandled protocol error.
No SMTP/RCPT TO mailbox probing is attempted — MX records prove a
domain can route mail, not that a specific mailbox exists. Real
mailbox-level verification is slower, often blocked or rate-limited by
receiving servers, and is exactly the layer a production InboxValid
backend would own behind this same tool contract.
Retry/backoff is intentionally not built into verify_email — the
MX check has a 2.5s timeout suitable for a real-time caller, and
retrying inline would just add latency. In production, retry policy
belongs to the caller (a signup form wants a fast fail; a batch job can
tolerate retries), not the verification primitive.
Testing
npm install
npm test # automated unit tests (node:test) — no live DNS needed
npm run demo # MCP end-to-end demo: spawns the server, connects a
# real MCP client, lists tools, calls verify_email
npm start # runs the server standalone (stdio, for an MCP client)Unit tests use dependency injection — verifyEmail(email, { checkMx, checkDisposable })
accepts overrides — so DNS behavior (valid, no-MX, timeout, disposable)
can be tested deterministically without a network call. npm run demo
is separate and intentionally does use live DNS, since it's meant to
prove the real MCP client → server → tool flow works end to end.
Project structure
inboxvalid-mcp/
├── src/
│ ├── server.js # MCP server + verify_email tool contract
│ ├── verifyEmail.js # orchestration (syntax → disposable → MX)
│ └── checks/
│ ├── syntax.js # local syntax validation
│ ├── disposable.js # mocked disposable-domain list
│ └── mx.js # real DNS MX lookup
├── test/
│ ├── verifyEmail.test.js # automated unit tests
│ ├── manualClient.js # MCP end-to-end demo client
│ └── dnsDiagnostic.js # standalone DNS troubleshooting script
├── package.json
└── README.mdChallenges faced
OS DNS resolver was unreachable during development. Early testing on Windows returned
ECONNREFUSEDfor every MX lookup — not because the target domains were down, but because Node'sdnsmodule couldn't reach the resolver the OS network stack was configured to use. Wrotetest/dnsDiagnostic.jsas a minimal standalone script to isolate the DNS layer from the rest of the tool and confirm the failure wasn't in my logic. Fixed by pinning explicit public resolvers (8.8.8.8,1.1.1.1) instead of trusting the OS-provided one — this also turned into the real justification for the fail-open design, since it's a genuine failure mode, not a hypothetical one.Testing a network-dependent function deterministically. The original version of
verifyEmailcalledcheckMxdirectly, so the only way to test it was a live DNS call — slow, and non-deterministic in CI or on a flaky connection. Solved with lightweight dependency injection:verifyEmailaccepts optional overrides forcheckMxandcheckDisposable, defaulting to the real implementations. Unit tests inject fake responses (timeout, no-MX, disposable) to cover every branch instantly and reproducibly, whilenpm run demostill uses the real DNS path to prove the actual behavior end to end.Deciding what "risky" should mean. A binary valid/invalid loses information: a disposable-domain address and a DNS-timeout address are both uncertain, but for different reasons, and a caller might want to treat them differently. Settled on a shared
riskystatus with a distinguishingreasoncode rather than adding more status values, to keep the contract simple while still preserving that distinction.
What I'd do next with more time
Replace the hardcoded disposable-domain set with a maintained, synced dataset — the module is isolated specifically so this is a one-file change.
Cache MX results by domain (they change slowly) to cut lookup latency on repeat checks.
Add rate limiting/concurrency controls around the network-bound step.
Assumptions
"MX-style plausibility" means confirming the domain has mail routing, not proving a specific mailbox exists.
Disposable-domain data source is mocked, per the brief's explicit allowance.
Available Tools
1 toolverify_emailVerify EmailA
Verifies an email address's deliverability plausibility: syntax, disposable-domain, and MX-record checks. Returns a structured status ('valid' | 'invalid' | 'risky') with a machine-readable reason code - never throws on a bad address, always returns a result.
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | The email address to verify, e.g. 'user@example.com' |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses key behavioral traits: it never throws on a bad address, always returns a result, and returns a structured status with a machine-readable reason code. It does not detail side effects or permissions, but for a read-only verification tool, this is reasonably transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with the primary action and key checks, followed by the return behavior. Every word earns its place; no fluff or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter tool with no output schema, the description covers all essentials: what it checks, what it returns (status and reason code), and its error behavior. This is complete enough for an agent to select and invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides 100% coverage of the single parameter ('address') with a clear example. The description adds minimal extra meaning beyond the schema, but the baseline of 3 applies because the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb ('verifies') and resource ('email address's deliverability plausibility'), and enumerates the exact checks performed (syntax, disposable-domain, MX-record). This distinguishes it from any hypothetical sibling tool and leaves no ambiguity about what it does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit alternatives are listed, but the description provides a clear context for when this tool is appropriate: whenever an email address needs deliverability verification. The absence of siblings reduces the need for exclusionary guidance, and the description implicitly signals its use case.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Only one tool exists, so there is no possibility of confusion or misselection. The tool's purpose is unambiguous and clearly defined.
The tool name 'verify_email' follows a clear verb_noun pattern that matches its functionality. With only one tool, consistency is trivially maintained.
The server has a single tool, which feels thin but aligns with its narrow scope of email verification. The minimal count is borderline but not inappropriate given the focused domain.
The tool covers all key aspects of email verification—syntax, disposable-domain, and MX checks—and always returns a structured result. There are no obvious gaps within the stated purpose.
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