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  3. Precleared Contact Check
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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 12:01:03 PM

Precleared Contact Check

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
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email-complianceoutreachgdprmcp

Checks cold-email eligibility by jurisdiction and returns cited rules, footer requirements, and verifiable receipts.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "precleared-contact-check": {
      "url": "https://precleared.dev/mcp",
      "env": {
        "PRECLEARED_API_KEY": "YOUR_VALUE_HERE",
        "PRECLEARED_API_BASE": "YOUR_VALUE_HERE",
        "PRECLEARED_TIMEOUT_MS": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (2) Directory Badge Claim listing Alternatives💬 More in Communication

Overview

Precleared Contact Check MCP server evaluates proposed cold marketing emails for selected jurisdictions before outreach begins. It accepts an email or domain, sender country, pitch, and address source, then returns a verdict, confidence level, cited rule, footer requirements, next step, and signed receipt. A second tool retrieves receipt details and verification material. Reach for it between contact discovery and email delivery when compliance checks are needed for marketing outreach, not transactional messages.

Use cases

•Check a new outreach contact before sending the first email
•Classify contacts by marketing-email consent requirements
•Generate cited compliance guidance for email footers
•Verify a stored receipt with its cryptographic signature

Key features

•Cold-email verdicts for UK, US, Canada, Germany, and France
•Rule citations with source information
•Footer requirements and recommended next steps
•Signed receipts with Ed25519 verification data
•Hosted streamable HTTP and local stdio access

Capabilities & Tool Schemas (2) ~105 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Precleared Contact Check.

contact_check

Takes a recipient email or domain, your sender country (GB or US), the pitch and where the address came from. Returns `verdict` (ok_to_email, consent_needed, blocked or unknown), `confidence`, the rule quoted with its source, `footer_text` (what the email's footer must include, not wording to paste…

verify_receipt

Takes a receipt id and returns the receipt with its hashes, Ed25519 signature and public key.

How Precleared Contact Check works

What Precleared Contact Check does

Precleared Contact Check MCP server provides decision support for cold marketing email. It covers the UK through PECR and UK GDPR, the United States through CAN-SPAM, Canada through CASL, Germany through UWG, and France. The service is intended to sit after a workflow discovers a contact and before an outreach tool sends the first message.

The main check is contact-specific. It considers the recipient email address or domain, the sender’s country, the proposed pitch, and how the address was obtained. The sender country input supports GB or US. Results classify the contact as ok_to_email, consent_needed, blocked, or unknown, along with a confidence value and the facts used in the decision.

How it works

The contact_check tool sends the supplied facts to the hosted Precleared API, or to that API through the local repository server. Its response includes the applicable rule, the source supporting that rule, a next action, and footer_text. The footer field describes required content such as sender identification, a postal address, or a way to stop future emails; it is guidance about what the footer must contain, not ready-to-paste copy.

Each check can produce a signed receipt. The receipt records the question, supplied facts, time, and resulting answer. The verify_receipt tool accepts a receipt ID and returns its hashes, Ed25519 signature, public key, key version, and verification URL. Receipts can also be checked through the public receipt page or with the published public key.

Setup and configuration

The hosted MCP endpoint is https://precleared.dev/mcp and uses streamable HTTP. It can be added to supported clients with a URL, or connected through mcp-remote. Claude Code can register it with an HTTP transport command. Cursor and VS Code have installation links documented by the project.

For local use, Node.js 18 or later can run the repository with npx, or the project can be built and run in Docker. The local process exposes the same two tools and calls the public REST API. Configure PRECLEARED_API_KEY when using a key, PRECLEARED_API_BASE to change the API base URL, and PRECLEARED_TIMEOUT_MS to change the request timeout. The latter defaults to 30000 milliseconds. The API key is optional, and authorization can be supplied through a bearer header or X-API-Key when connecting directly.

Tools and capabilities

  • contact_check: evaluates a proposed cold-email contact and returns a verdict, confidence, cited rule, footer requirements, next step, facts, and signed receipt.
  • verify_receipt: retrieves receipt data, hashes, the Ed25519 signature, and public key for verification.
  • Hosted MCP access, local stdio execution, Docker execution, and direct REST access are documented by the project.

Limitations and notes

Precleared Contact Check is intended for cold marketing email and is not needed for invoices, receipts, or other transactional email. Its result is decision support with sources, not legal advice. The local server does not store data locally or send messages to recipients, but it does forward check requests to the configured Precleared API.

Hosted access allows 100 checks per day without a key, while the REST API used by the local server allows 10 per day per network without one. A free key and paid packs are available through the project’s service. The repository includes tests that use a fake local API and do not require network access.

Read the full README →View source on GitHub →

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Frequently Asked Questions about Precleared Contact Check

Precleared Contact Check is an MCP server that connects AI outreach workflows to Precleared’s hosted compliance API. Its main tools, contact_check and verify_receipt, assess cold-email eligibility, return cited rules and footer requirements, and retrieve signed receipts with hashes, Ed25519 signatures, and public keys for verification.

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Technical Specs & Signals

Category💬Communication
More technical detailsExpand â–¾
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
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Last commitToday
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 13, 2026
51Quality signal: Good · 51/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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