Low Risk

nearby

Find features from a layer that are near a given point. Samples a grid of points around the

How to control nearby ↓

AI agents call nearby to retrieve information from Bharatlas without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This is a geospatial read/query operation that retrieves features matching spatial criteria. It has no side effects, does not modify data, and does not execute external operations. The blast radius of misuse is minimal—worst case an attacker retrieves inappropriate geographic information about infrastructure or locations, but this is a standard read operation.

From the tool's definition Tool name 'nearby' and description 'Find features from a layer that are near a given point' indicates a spatial query operation that retrieves data based on geographic proximity.

Documented attack patterns abuse exactly the kind of access nearby gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Bharatlas, and nothing reaches the server without passing your rules. This is the rule we recommend for nearby:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "nearby": {}
  }
}

nearby is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Bharatlas — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the nearby tool do? +

Find features from a layer that are near a given point. Samples a grid of points around the. It is categorised as a Read tool in the Bharatlas MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on nearby? +

Register the Bharatlas MCP server in PolicyLayer and add a rule for 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 Bharatlas. Nothing to install.

What risk level is nearby? +

nearby is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit nearby? +

Yes. Add a rate_limit block to the 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.

How do I block nearby completely? +

Set action: deny in the PolicyLayer policy for 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.

What MCP server provides nearby? +

nearby is provided by the Bharatlas MCP server (urbanmorph/geodata). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bharatlas tool call.

Deterministic rules across all 7 Bharatlas tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

7 Bharatlas tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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