Enumerate external package dependencies of the indexed repo, sourced from lockfiles and manifests (package-lock.json, pnpm-lock.yaml, pyproject.toml, requirements.txt, uv.lock, go.mod, go.sum, Cargo.lock, Cargo.toml, pom.xml, *.csproj, packages.lock.json). Optionally filter by ecosystem or lockfi...
AI agents call dependencies to retrieve information from OpenCodeHub MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only operation that retrieves dependency metadata from existing lockfiles and manifests. It has no side effects, does not execute code, does not modify data, and does not delete or move resources. The tool purely queries and lists information, fitting the 'Read' category with low risk since dependency enumeration cannot harm the codebase or system.
From the tool's definition Tool 'dependencies' enumerates external package dependencies by reading lockfiles and manifests (package-lock.json, pnpm-lock.yaml, pyproject.toml, requirements.txt, uv.lock, go.mod, go.sum, Cargo.lock, Cargo.toml, pom.xml, *.csproj, packages.lock.json).
Attacks that exploit this kind of access
Enumerate external package dependencies of the indexed repo, sourced from lockfiles and manifests (package-lock.json, pnpm-lock.yaml, pyproject.toml, requirements.txt, uv.lock, go.mod, go.sum, Cargo.lock, Cargo.toml, pom.xml, *.csproj, packages.lock.json). Optionally filter by ecosystem or lockfile path substring. License field is. It is categorised as a Read tool in the OpenCodeHub MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenCodeHub MCP Server MCP server in PolicyLayer and add a rule for dependencies: 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 OpenCodeHub MCP Server. Nothing to install.
dependencies 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 dependencies 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 dependencies. 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.
dependencies is provided by the OpenCodeHub MCP Server MCP server (theagenticguy/opencodehub). 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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