datasets_github_users_nearby
Search nearby GitHub users. Searches enriched GitHub users near a coordinate, sorted by distance, in dataset id enum value github-users. influence_tier enum: nano, micro, mid, macro, mega.
This record as markdown: /tools/crawlora-mcp/datasets-github-users-nearby.md
What datasets_github_users_nearby does on Crawlora
AI agents call datasets_github_users_nearby to retrieve information from Crawlora without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
lat | number | Yes | Latitude |
lon | number | Yes | Longitude |
page | integer | — | Page number, defaults to 1 |
radius_m | integer | Yes | Radius in meters, max 50000 |
page_size | integer | — | Page size, defaults to 20 and maxes at 100; page * page_size must be <= 10000 |
reachable | boolean | — | Filter by any public contact channel |
min_followers | integer | — | Minimum follower count |
influence_tier | string | — | Follower-tier enum: nano, micro, mid, macro, mega |
Parameters from the server's own tool schema.
Why datasets_github_users_nearby is rated Low
This tool retrieves and queries public GitHub user data filtered by geographic proximity. It has no side effects—it only returns information without creating, modifying, deleting, or executing anything. The 'Search' verb and focus on filtering/sorting confirm Read category. Severity is low because the data is public GitHub profile information with minimal blast radius if misused.
From the tool's definition Tool performs a 'Search' operation on GitHub users by geographic coordinate. The description explicitly states it 'Searches enriched GitHub users near a coordinate, sorted by distance'. No data modification, deletion, or external execution is implied.
Attacks that exploit this kind of access
The rule that runs datasets_github_users_nearby safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For datasets_github_users_nearby, this is the rule to start with:
datasets_github_users_nearby is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crawlora, apply this rule, and every datasets_github_users_nearby call is checked against it from then on.
Questions about datasets_github_users_nearby
Search nearby GitHub users. Searches enriched GitHub users near a coordinate, sorted by distance, in dataset id enum value github-users. influence_tier enum: nano, micro, mid, macro, mega. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
datasets_github_users_nearby accepts 8 parameters: lat, lon, page, radius_m, page_size, reachable, min_followers, influence_tier. Required: lat, lon, radius_m. The full parameter table on this page comes from the server's own tool schema.
Register the Crawlora MCP server in PolicyLayer and add a rule for datasets_github_users_nearby: 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 Crawlora. Nothing to install.
datasets_github_users_nearby 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 datasets_github_users_nearby 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 datasets_github_users_nearby. 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.
datasets_github_users_nearby is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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