Run BM25 against every repo in a named group and fuse the per-repo rankings with Reciprocal Rank Fusion (RRF, k=60). Useful when a concept spans client and server repos. Repos are visited in alphabetical order so ties are deterministic. Per-repo errors are reported in
AI agents call group_query 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 search and ranking operation that retrieves and queries information across multiple repositories. It performs no data modifications, deletions, code execution, or side effects—it purely searches and ranks results deterministically. The highest risk is information disclosure if sensitive code exists, but that is inherent to any code search tool and does not elevate the category beyond Read.
From the tool's definition Tool runs BM25 search queries and ranking fusion (RRF) against repositories; described as useful for querying concepts across repos; reports results and errors without modifying data.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Run BM25 against every repo in a named group and fuse the per-repo rankings with Reciprocal Rank Fusion (RRF, k=60). Useful when a concept spans client and server repos. Repos are visited in alphabetical order so ties are deterministic. Per-repo errors are reported in. 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 group_query: 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.
group_query 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 group_query 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 group_query. 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.
group_query 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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