get_entity_embedding

Get the vector embedding for a specific entity from your DevFlow MCP knowledge graph memory

Server DevFlow MCP takin-profit/devflow-mcp
Category Read
Risk class Low
Parameters 00 required

What get_entity_embedding does on DevFlow MCP

AI agents call get_entity_embedding to retrieve information from DevFlow MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_entity_embedding needs a policy

This tool retrieves existing data (vector embeddings) from the knowledge graph without side effects. It is a read-only query operation analogous to 'get' or 'fetch'. Even in the context of a broader MCP server that includes destructive and write operations, this specific tool performs no modifications, deletions, or external actions—only data retrieval.

From the tool's definition Tool name and description indicate retrieval of vector embeddings: 'Get the vector embedding for a specific entity' - a data retrieval operation with no modification, deletion, or execution of code/commands.

Questions about get_entity_embedding

What does the get_entity_embedding tool do? +

Get the vector embedding for a specific entity from your DevFlow MCP knowledge graph memory. It is categorised as a Read tool in the DevFlow MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_entity_embedding? +

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

What risk level is get_entity_embedding? +

get_entity_embedding is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_entity_embedding? +

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

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

get_entity_embedding is provided by the DevFlow MCP server (takin-profit/devflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.