Bulk lookup of up to 50 mints in one request. Returns the same per-mint shape as madeonsol_token_get. DB queries batched with IN(...); dex-stream + RPC fan-outs run in parallel. ~10-20× cheaper than N sequential calls — ideal for sniper pipelines scoring many tokens at once.
AI agents call madeonsol_token_batch to retrieve information from Madeonsol without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs bulk data retrieval (lookup) of token mint information. It reads from a database and external sources (dex-stream + RPC) in parallel but does not create, modify, delete, or move any data. The mention of 'sniper pipelines' indicates it feeds into trading workflows, but the tool itself only reads/returns data.
From the tool's definition Bulk lookup of up to 50 mints in one request. Returns the same per-mint shape as madeonsol_token_get. DB queries batched with IN(...)
Attacks that exploit this kind of access
Bulk lookup of up to 50 mints in one request. Returns the same per-mint shape as madeonsol_token_get. DB queries batched with IN(...); dex-stream + RPC fan-outs run in parallel. ~10-20× cheaper than N sequential calls — ideal for sniper pipelines scoring many tokens at once. It is categorised as a Read tool in the Madeonsol MCP Server, which means it retrieves data without modifying state.
Register the Madeonsol MCP server in PolicyLayer and add a rule for madeonsol_token_batch: 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 Madeonsol. Nothing to install.
madeonsol_token_batch 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 madeonsol_token_batch 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 madeonsol_token_batch. 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.
madeonsol_token_batch is provided by the Madeonsol MCP server (mcp-server-madeonsol). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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