External GitHub code/path search. Use distinctive terms to locate remote anchors; scope to owner/repo/path as soon as possible. Run separate queries for OR-style exploration. Use githubGetFileContent to read matched files after finding them.
AI agents call githubSearchCode to retrieve information from Octocode MCP - AI Context Platform without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
queries | array | Yes | Array of queries for githubSearchCode. Maximum is 5 queries per call. Multiple queries run in parallel. Use the per-query `page` field to navigate through resul |
Parameters from the server's own tool schema.
This tool queries a remote repository (GitHub) and returns search results—file locations, match positions, or metadata. It has no side effects, does not modify data, execute code, or trigger external operations. The confidence is high because the description explicitly frames it as a search/discovery tool that precedes the actual read operation (githubGetFileContent). This is a classic Read category operation.
From the tool's definition Tool performs 'External GitHub code/path search' to 'locate remote anchors' and explicitly directs users to 'Use githubGetFileContent to read matched files after finding them.' The search operation itself retrieves metadata or identifiers without modifying or…
Risk signalsAccepts file system path (queries[].filename) · High parameter count (14 properties)
Documented attack patterns abuse exactly the kind of access githubSearchCode gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Octocode MCP - AI Context Platform, and nothing reaches the server without passing your rules. This is the rule we recommend for githubSearchCode:
{
"version": "1",
"default": "deny",
"tools": {
"githubSearchCode": {}
}
}githubSearchCode is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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External GitHub code/path search. Use distinctive terms to locate remote anchors; scope to owner/repo/path as soon as possible. Run separate queries for OR-style exploration. Use githubGetFileContent to read matched files after finding them. It is categorised as a Read tool in the Octocode MCP - AI Context Platform MCP Server, which means it retrieves data without modifying state.
githubSearchCode accepts 1 parameter: queries. Required: queries. The full parameter table on this page comes from the server's own tool schema.
Register the Octocode MCP - AI Context Platform MCP server in PolicyLayer and add a rule for githubSearchCode: 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 Octocode MCP - AI Context Platform. Nothing to install.
githubSearchCode 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 githubSearchCode 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 githubSearchCode. 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.
githubSearchCode is provided by the Octocode MCP - AI Context Platform MCP server (octocode-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Octocode MCP - AI Context Platform, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 Octocode MCP - AI Context Platform tools catalogued and risk-classified — across an index of 43,000+ MCP servers.