social_influencer_fake_follower_detector
Analyzes up to 10 social media influencers for fake followers by checking engagement velocity patterns (Trends24) and RSS feed anomalies. Returns authenticity scores, follower growth spikes, and suspicious activity flags. Optimized for CMOs evaluating influencer partnerships. Includes keywords: i...
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What social_influencer_fake_follower_detector does on Mcp Knowledge
AI agents call social_influencer_fake_follower_detector to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
platform | string | Yes | Social media platform of the influencers |
influencerHandles | array | Yes | Array of up to 10 social media handles (e.g., ['@influencer1', 'user2']) |
Parameters from the server's own tool schema.
Why social_influencer_fake_follower_detector is rated Low
The tool reads and analyzes publicly available social media data (engagement patterns, RSS feeds) to return analytical scores and flags. It does not modify, delete, or execute any actions — it is purely a data retrieval and analysis tool. Severity is medium because misuse could damage reputations of influencers if scores are inaccurate or misapplied.
From the tool's definition Analyzes up to 10 social media influencers for fake followers by checking engagement velocity patterns (Trends24) and RSS feed anomalies. Returns authenticity scores, follower growth spikes, and suspicious activity flags.
Attacks that exploit this kind of access
The rule that runs social_influencer_fake_follower_detector safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For social_influencer_fake_follower_detector, this is the rule to start with:
social_influencer_fake_follower_detector is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every social_influencer_fake_follower_detector call is checked against it from then on.
Questions about social_influencer_fake_follower_detector
Analyzes up to 10 social media influencers for fake followers by checking engagement velocity patterns (Trends24) and RSS feed anomalies. Returns authenticity scores, follower growth spikes, and suspicious activity flags. Optimized for CMOs evaluating influencer partnerships. Includes keywords: influencer marketing, fake follower detection, engagement analysis, social media audit. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
social_influencer_fake_follower_detector accepts 3 parameters: async, platform, influencerHandles. Required: platform, influencerHandles. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for social_influencer_fake_follower_detector: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.
social_influencer_fake_follower_detector is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the social_influencer_fake_follower_detector rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for social_influencer_fake_follower_detector. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
social_influencer_fake_follower_detector is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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