social_engagement_velocity_tracker
Tracks hourly social engagement velocity (likes, shares, comments) across Twitter, LinkedIn, and Reddit for CMOs. Inputs include platform handles/subreddits and time range. Outputs engagement metrics, velocity trends, and platform-specific insights. Ideal for real-time marketing performance monit...
This record as markdown: /tools/io-github-getgapup-gapup-mcp/social-engagement-velocity-tracker.md
What social_engagement_velocity_tracker does on Gapup Mcp
AI agents call social_engagement_velocity_tracker to retrieve information from Gapup Mcp 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 |
hours | number | — | |
platforms | array | Yes |
Parameters from the server's own tool schema.
Why social_engagement_velocity_tracker is rated Low
This tool purely retrieves and aggregates social media engagement data (likes, shares, comments) from Twitter, LinkedIn, and Reddit. It performs read-only analytics with no side effects, data modification, or financial transactions. The blast radius if misused is low — it only surfaces publicly observable social metrics.
From the tool's definition Tracks hourly social engagement velocity (likes, shares, comments)... Outputs engagement metrics, velocity trends, and platform-specific insights
Attacks that exploit this kind of access
The rule that runs social_engagement_velocity_tracker safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For social_engagement_velocity_tracker, this is the rule to start with:
social_engagement_velocity_tracker 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 Gapup Mcp, apply this rule, and every social_engagement_velocity_tracker call is checked against it from then on.
Questions about social_engagement_velocity_tracker
Tracks hourly social engagement velocity (likes, shares, comments) across Twitter, LinkedIn, and Reddit for CMOs. Inputs include platform handles/subreddits and time range. Outputs engagement metrics, velocity trends, and platform-specific insights. Ideal for real-time marketing performance monitoring and competitive benchmarking. Keywords: social media analytics, engagement tracking, marketing KPIs, CMO dashboard. It is categorised as a Read tool in the Gapup Mcp MCP Server, which means it retrieves data without modifying state.
social_engagement_velocity_tracker accepts 3 parameters: async, hours, platforms. Required: platforms. The full parameter table on this page comes from the server's own tool schema.
Register the Gapup MCP server in PolicyLayer and add a rule for social_engagement_velocity_tracker: 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 Gapup Mcp. Nothing to install.
social_engagement_velocity_tracker 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_engagement_velocity_tracker 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_engagement_velocity_tracker. 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_engagement_velocity_tracker is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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