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Social Commerce Intelligence

PYPI · SOCIAL-COMMERCE-INTELLIGENCE-MCP · 2 COMPONENTS · SCANNED SEP 20

Creator ROI, video conversion, trends, affiliate, and social commerce intelligence.

0 this week 54 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 1 of 23 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency6
Schema Quality & AI Usability59
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 299 tokens (~24/item across 12 items; 12 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
  • Stability observed for 25 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
  • 92% of tools have a non-trivial description (not blank, and not just the tool's name).Partial
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the Social Commerce Intelligence MCP server?

Social Commerce Intelligence runs locally as a PyPI package, launched with uvx social-commerce-intelligence-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · social-commerce-intelligence-mcp

# add to Claude Code
claude mcp add atul0016-social-commerce-intelligence -- uvx social-commerce-intelligence-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "atul0016-social-commerce-intelligence": {
      "command": "uvx",
      "args": [
        "social-commerce-intelligence-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "atul0016-social-commerce-intelligence": {
      "command": "uvx",
      "args": [
        "social-commerce-intelligence-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add atul0016-social-commerce-intelligence -- uvx social-commerce-intelligence-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "atul0016-social-commerce-intelligence": {
      "type": "local",
      "command": [
        "uvx",
        "social-commerce-intelligence-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add atul0016-social-commerce-intelligence --command uvx --arg social-commerce-intelligence-mcp
# ~/.hermes/config.yaml
mcp_servers:
  atul0016-social-commerce-intelligence:
    command: "uvx"
    args: ["social-commerce-intelligence-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "atul0016-social-commerce-intelligence": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "social-commerce-intelligence-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add atul0016-social-commerce-intelligence -t stdio -c uvx -a social-commerce-intelligence-mcp
// mcp.json
{
  "mcpServers": {
    "atul0016-social-commerce-intelligence": {
      "command": "uvx",
      "args": [
        "social-commerce-intelligence-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 19 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 18 Sept 26 0
    • Stability: 0.97 → pass security
  • 17 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 11 Sept 26 0
    • Stability: 0.97 → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed pypi/social-commerce-intelligence-mcp@0.1.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Dependencies 23 packages
Packages resolved 23
Stale 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 12 exposed · ~299 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_affiliate_commissions_summary ~19

Return commission liability and payout status.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

get_creator_roi_report ~39

Return creator revenue, commission, CAC-like costs, margin, and ROI.

NameTypeReqDescription
periodstring
platformstring

Structured output declared, but exposes no named fields.

No examples provided.

get_license_status ~27

Return payment/license readiness for AtulHritik-Mcp-Suite without exposing secrets.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

get_live_connector_status ~19

Return social commerce connector readiness without exposing secrets.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

get_social_commerce_revenue_by_platform ~29

Return revenue by social commerce platform.

NameTypeReqDescription
date_rangestring

Structured output declared, but exposes no named fields.

No examples provided.

get_top_converting_videos ~27

Rank videos by conversion quality.

NameTypeReqDescription
min_conversion_ratenumber

Structured output declared, but exposes no named fields.

No examples provided.

get_trending_products ~33

Return trending shop products by category and region.

NameTypeReqDescription
categorystringyes
regionstringyes

Structured output declared, but exposes no named fields.

No examples provided.

health ~4

No description provided.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

identify_underperforming_creators ~39

Return creators needing coaching, commission adjustment, or pause.

NameTypeReqDescription
min_ordersinteger
period_daysinteger

Structured output declared, but exposes no named fields.

No examples provided.

test_affiliate_connection ~21

Run a read-only affiliate creator/commission smoke check.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

test_social_content_connection ~19

Run a read-only social content smoke check.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

test_tiktok_shop_connection ~23

Run a read-only TikTok Shop product/order smoke check.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

Common questions

What is the Social Commerce Intelligence MCP server?

Social Commerce Intelligence is an MCP server listed in the public MCP registry as io.github.atul0016/social-commerce-intelligence. Creator ROI, video conversion, trends, affiliate, and social commerce intelligence. This page covers its PyPI package (social-commerce-intelligence-mcp).

Is the Social Commerce Intelligence MCP server safe to use?

Social Commerce Intelligence scores 54 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Social Commerce Intelligence MCP server expose?

Social Commerce Intelligence exposes 12 tools: health, get_license_status, get_live_connector_status, test_tiktok_shop_connection, test_affiliate_connection, and 7 more. Their descriptions and schemas cost roughly 299 tokens of context every time the server is loaded.

Is the Social Commerce Intelligence MCP server still maintained?

Social Commerce Intelligence is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.