External repository discovery when owner/repo is unknown. Use names, domain terms, owner, topic, language, popularity, or recency. Inspect structure/source with githubViewRepoStructure before drawing implementation conclusions. Use packageSearch for exact dependency names.
AI agents call githubSearchRepositories 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 githubSearchRepositories. Maximum is 5 queries per call. Multiple queries run in parallel. Use the per-query `page` field to navigate throu |
Parameters from the server's own tool schema.
This tool performs read-only searches and queries of GitHub repositories. It discovers publicly available repository information based on search parameters but does not create, modify, delete, or execute any operations. It has no side effects beyond information retrieval. The instruction to inspect structure with other tools before drawing conclusions confirms this is purely a discovery/retrieval tool.
From the tool's definition Tool description explicitly states 'External repository discovery' and 'Inspect structure/source with githubViewRepoStructure' — the tool retrieves and searches repository metadata based on various criteria (names, topics, language, popularity, recency)…
Risk signalsHigh parameter count (18 properties)
Documented attack patterns abuse exactly the kind of access githubSearchRepositories 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 githubSearchRepositories:
{
"version": "1",
"default": "deny",
"tools": {
"githubSearchRepositories": {}
}
}githubSearchRepositories is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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External repository discovery when owner/repo is unknown. Use names, domain terms, owner, topic, language, popularity, or recency. Inspect structure/source with githubViewRepoStructure before drawing implementation conclusions. Use packageSearch for exact dependency names. It is categorised as a Read tool in the Octocode MCP - AI Context Platform MCP Server, which means it retrieves data without modifying state.
githubSearchRepositories 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 githubSearchRepositories: 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.
githubSearchRepositories 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 githubSearchRepositories 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 githubSearchRepositories. 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.
githubSearchRepositories 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.