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
Even though datasets_github_users_nearby only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
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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