query_graph

Execute SPARQL query on knowledge graph, return filtered results (max 100 rows)

Server Mnemosyne MCP sophia-labs/mnemosyne-mcp
Category Execute
Risk class High
Parameters 00 required

What query_graph does on Mnemosyne MCP

AI agents invoke query_graph to trigger actions in Mnemosyne 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.

Why query_graph needs a policy

SPARQL supports not just SELECT (read) but also UPDATE, INSERT, DELETE, and DROP operations. The description says 'execute SPARQL query' without restricting to read-only queries, so this must be treated as Execute. If the agent supplies a destructive SPARQL update, it could irreversibly modify the graph.

From the tool's definition "Execute SPARQL query on knowledge graph" — the tool runs arbitrary SPARQL queries against the graph store

Questions about query_graph

What does the query_graph tool do? +

Execute SPARQL query on knowledge graph, return filtered results (max 100 rows). It is categorised as a Execute tool in the Mnemosyne MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on query_graph? +

Register the Mnemosyne MCP server in PolicyLayer and add a rule for query_graph: 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 Mnemosyne MCP. Nothing to install.

What risk level is query_graph? +

query_graph is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit query_graph? +

Yes. Add a rate_limit block to the query_graph 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 query_graph completely? +

Set action: deny in the PolicyLayer policy for query_graph. 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 query_graph? +

query_graph is provided by the Mnemosyne MCP server (sophia-labs/mnemosyne-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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