Get detailed information about a specific project. Returns the full project including: - Name and description - Tech stack information - Project configuration Use this to understand the project context before working on flows.
AI agents call project_get to retrieve information from DevFlow MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query operation that retrieves and returns existing project information without side effects. It fits the Read category definition: 'retrieves or queries data; no side effects (search, list, get, fetch)'. The severity is low because disclosure of project metadata poses minimal security risk in a development workflow context.
From the tool's definition Tool name 'project_get' and description 'Get detailed information about a specific project' with return values limited to retrieval of project metadata (name, description, tech stack, configuration).
Attacks that exploit this kind of access
Get detailed information about a specific project. Returns the full project including: - Name and description - Tech stack information - Project configuration Use this to understand the project context before working on flows. It is categorised as a Read tool in the DevFlow MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DevFlow MCP Server MCP server in PolicyLayer and add a rule for project_get: 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 Server. Nothing to install.
project_get 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 project_get 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 project_get. 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.
project_get is provided by the DevFlow MCP Server MCP server (klausfreiberufler/devflow-mcp). 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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