AI agents call twitter_mentions to retrieve information from Twitter Bridge MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves mentions and replies—existing data that the user already has access to through normal Twitter/X usage. It performs no write, delete, or execution operations. The description uses 'Get', which is characteristic of read-only operations. Even in the context of a browser automation tool, this operation has no blast radius as it merely fetches data the authenticated user is authorized to view.
From the tool's definition Tool name 'twitter_mentions' and description 'Get mentions and replies to your tweets' indicate retrieval of existing data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access twitter_mentions gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Twitter Bridge MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for twitter_mentions:
{
"version": "1",
"default": "deny",
"tools": {
"twitter_mentions": {}
}
}twitter_mentions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get mentions and replies to your tweets. It is categorised as a Read tool in the Twitter Bridge MCP MCP Server, which means it retrieves data without modifying state.
Register the Twitter Bridge MCP server in PolicyLayer and add a rule for twitter_mentions: 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 Twitter Bridge MCP. Nothing to install.
twitter_mentions 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 twitter_mentions 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 twitter_mentions. 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.
twitter_mentions is provided by the Twitter Bridge MCP server (replica882/twitter-bridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Twitter Bridge MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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21 Twitter Bridge MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.