Medium Risk

like_media

Like or unlike an Instagram post. Args: media_url: URL of the Instagram post. like: True to like, False to unlike the post. Returns: A dictionary with success status and a status message.

How to control like_media ↓

AI agents use like_media to create or update resources in Instagram DM MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Instagram DM MCP Server environment.

Medium Risk

Liking or unliking a post is a reversible write action that modifies social engagement data on Instagram. It has moderate blast radius if misused at scale (e.g., mass-liking/unliking posts without user intent), but no data is destroyed and no financial action is taken.

From the tool's definition 'Like or unlike an Instagram post' — creates or removes a like reaction on a post; reversible (can unlike)

Documented attack patterns abuse exactly the kind of access like_media gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Instagram DM MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for like_media:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "like_media": {
      "limits": [
        {
          "counter": "like_media_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

like_media stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Instagram DM MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Go deeper

What does the like_media tool do? +

Like or unlike an Instagram post. Args: media_url: URL of the Instagram post. like: True to like, False to unlike the post. Returns: A dictionary with success status and a status message. It is categorised as a Write tool in the Instagram DM MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on like_media? +

Register the Instagram DM MCP Server MCP server in PolicyLayer and add a rule for like_media: 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 Instagram DM MCP Server. Nothing to install.

What risk level is like_media? +

like_media is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit like_media? +

Yes. Add a rate_limit block to the like_media 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.

How do I block like_media completely? +

Set action: deny in the PolicyLayer policy for like_media. 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.

What MCP server provides like_media? +

like_media is provided by the Instagram DM MCP Server MCP server (trypeggy/instagram_dm_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Instagram DM MCP Server tool call.

Deterministic rules across all 25 Instagram DM MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

25 Instagram DM MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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