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varta-mcp

Project context: I built Varta for my own use and shared this MCP integration so others could use it too. The service runs largely autonomously, with automated checks and maintenance and occasional additions from me. My full focus is Deep In, where I am co-founder and Product / AI Lead.

Spam classification MCP server for AI agents — built from real Telegram moderation data.

Live at: https://mcp.getvarta.com/sse
Get a free API key: https://isitaspam.com/developers

Tools

Tool

Description

check_spam_text

Classify a message as SPAM / SUSPICIOUS / SAFE. Returns verdict, confidence (0–1), category, risk signals, red flags, and plain-language recommendation.

get_spam_stats

Daily spam classification statistics from isitaspam.com.

get_spam_examples

Five most recent public spam catches with links to full analysis.

Related MCP server: Straight Connect

Add to Claude Code

claude mcp add varta \
  --transport sse \
  https://mcp.getvarta.com/sse \
  --header "Authorization: Bearer varta_YOUR_KEY"

Get a free key (50 checks/day) at https://isitaspam.com/developers — instant, no credit card.

Run locally (stdio)

The hosted server above is the easiest path. If you'd rather run the server as a local process — or your MCP client only speaks stdio — use the bundled stdio entry point. Same three tools, no dependencies, Node 18+.

git clone https://github.com/DarynaFor/mcp-varta.git
cd mcp-varta
API_KEY=varta_YOUR_KEY node src/stdio.js

Or wire it into a client config:

{
  "mcpServers": {
    "varta": {
      "command": "node",
      "args": ["/path/to/mcp-varta/src/stdio.js"],
      "env": { "API_KEY": "varta_YOUR_KEY" }
    }
  }
}

initialize and tools/list work without a valid key, so registries and clients can introspect the server before you have one.

Example

curl -s -X POST https://mcp.getvarta.com/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer varta_YOUR_KEY" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "check_spam_text",
      "arguments": {
        "text": "Earn $5000/week from home! Click: bit.ly/abc123"
      }
    }
  }'

Response:

**Verdict: SPAM** (97% confidence)
**Category:** financial scam

**Why flagged:**
- Unrealistic income claim ($5000/week)
- Shortened URL hides real destination

**Recommended action:** Delete message and ban sender.

**Source:** isitaspam.com/check/financial_scam-earn-5000-week-a1b2c3d4

How it works

The classifier runs 7-layer detection:

  1. Fast pre-classifier (keyword + pattern signals)

  2. Multi-LLM consensus (GPT + Claude + Gemini) for ambiguous cases

  3. Vector similarity against 1,100+ verified scam patterns

  4. URL safety check (Google Safe Browsing + PhishTank)

  5. Crypto scam signal detection

  6. Language detection (33 languages)

  7. Stylometric analysis (urgency density, caps ratio, mixed-script patterns)

Data comes from 51 live Telegram groups protecting 29,000+ members via Varta — a Telegram anti-spam SaaS.

Endpoints

Endpoint

Transport

GET https://mcp.getvarta.com/sse

SSE (Claude Code --transport sse)

POST https://mcp.getvarta.com/mcp

HTTP (--transport http)

GET https://mcp.getvarta.com/

Info / health check

Auth

Pass your API key as a Bearer token:

Authorization: Bearer varta_YOUR_KEY

Free tier: 50 checks/day
Paid tiers: 2,000/day ($19/mo) · 10,000/day ($49/mo) — see https://isitaspam.com/developers#pricing

Rate limits & errors

Rate limiting is applied by isitaspam.com. On 429, the error body includes reset_at and upgrade_url.

Code

Meaning

invalid_api_key

Bearer token not recognised

rate_limit_exceeded

Daily or burst limit hit

text_too_long

Message exceeds 5,000 chars

REST API

If you prefer REST over MCP, the same keys work on isitaspam.com/api/check via X-API-Key header. Full OpenAPI 3.1 spec: https://isitaspam.com/openapi.yaml

License

MIT

Available Tools

3 tools
check_spam_textA

Classify a text message as SPAM, SUSPICIOUS, or SAFE using multi-LLM consensus (GPT + Claude + Gemini) and vector similarity against 1,100+ verified scam patterns. Returns verdict, confidence, category, risk signals, red flags, and plain-language recommendation. Built from real Telegram moderation data.

Inputs: text (required), locale.

get_spam_examplesA

Get the 5 most recent public spam/scam examples caught by the isitaspam.com classifier. Each result includes verdict, category, and a link to the full analysis.

Inputs: no named parameters.

get_spam_statsA

Get daily spam classification statistics from isitaspam.com — total checks today, how many were classified as SPAM, how many as SUSPICIOUS. Cached 60 seconds.

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.3/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: check_spam_text classifies a single message, get_spam_stats provides aggregate counts, and get_spam_examples shows recent samples. There is no overlap in functionality or confusion about which tool to use for a given task.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: check_spam_text, get_spam_stats, get_spam_examples. The verbs (check, get) and nouns (text, stats, examples) are clear and predictable.

    Tool Count4/5

    With three tools, the server is on the lower end of the ideal range, but it is well-scoped for a narrow spam-classification utility. Each tool serves a distinct need, and the count feels appropriate rather than sparse.

    Completeness4/5

    The core functionality (classifying a text) is covered, along with supporting statistical and example retrieval. Minor gaps exist (e.g., batch processing or category filtering), but these are not essential for the stated purpose and can be worked around.

    Maintenance

    ActivitySlowing
    ResponsivenessNo recent community issues

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