All-in-one: analyze a GitHub profile and instantly find issues
AI agents call opencollab_match_me to retrieve information from OpenCollab MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing data from GitHub profiles and issue repositories to provide personalized recommendations. There are no side effects, data modifications, code execution, deletions, or financial implications. The worst-case misuse would be excessive API calls or privacy concerns from analyzing profiles, which poses minimal blast radius compared to other risk categories.
From the tool's definition The tool 'analyze a GitHub profile and instantly find issues' performs data retrieval and matching operations. It queries GitHub profile data and searches for relevant issues without modifying, creating, or deleting any data.
Attacks that exploit this kind of access
All-in-one: analyze a GitHub profile and instantly find issues. It is categorised as a Read tool in the OpenCollab MCP MCP Server, which means it retrieves data without modifying state.
Register the OpenCollab MCP server in PolicyLayer and add a rule for opencollab_match_me: 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 OpenCollab MCP. Nothing to install.
opencollab_match_me 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 opencollab_match_me 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 opencollab_match_me. 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.
opencollab_match_me is provided by the OpenCollab MCP server (prakhar1605/Opencollab-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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