List all available DeepSource projects. Returns a list of project objects with
AI agents call projects to retrieve information from DeepSource MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only queries and returns a list of existing projects. It performs no creation, modification, deletion, or execution of code/commands. The operation is read-only with no side effects, making it a Read category tool. Severity is low because listing projects is informational; an agent cannot cause harm by retrieving this data alone.
From the tool's definition Tool name 'projects' and description 'List all available DeepSource projects' clearly indicates a retrieval operation that returns project data with no modification or side effects.
Documented attack patterns abuse exactly the kind of access projects gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DeepSource MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for projects:
{
"version": "1",
"default": "deny",
"tools": {
"projects": {}
}
} projects is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all available DeepSource projects. Returns a list of project objects with. It is categorised as a Read tool in the DeepSource MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DeepSource MCP Server MCP server in PolicyLayer and add a rule for projects: 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 DeepSource MCP Server. Nothing to install.
projects 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 projects 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 projects. 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.
projects is provided by the DeepSource MCP Server MCP server (sapientpants/deepsource-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DeepSource MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 DeepSource MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.