Run a raw GraphQL query against a Limitless subgraph. Escape hatch for custom queries.
AI agents invoke query_subgraph to trigger actions in Limitless MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes arbitrary, user-supplied GraphQL queries against a subgraph. While GraphQL is typically read-oriented, the 'raw' and 'escape hatch for custom queries' framing means the full query surface is exposed — including any mutations the subgraph may support. The ability to run arbitrary queries with no described constraints elevates this beyond a simple Read tool.
From the tool's definition "Run a raw GraphQL query against a Limitless subgraph. Escape hatch for custom queries."
Attacks that exploit this kind of access
Run a raw GraphQL query against a Limitless subgraph. Escape hatch for custom queries. It is categorised as a Execute tool in the Limitless MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Limitless MCP server in PolicyLayer and add a rule for query_subgraph: 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 Limitless MCP. Nothing to install.
query_subgraph is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the query_subgraph 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 query_subgraph. 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.
query_subgraph is provided by the Limitless MCP server (paulieb14/limitless-subgraphs). 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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