avalanche_env

Detect the local Avalanche toolchain (avalanche-cli, Foundry), the current project, and any local L1s.

SERVERAvalanche SOURCE@avakit/mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dev-avakit-avalanche/avalanche-env.md

WHAT IT DOES

What avalanche_env does on Avalanche

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

RISK

Why avalanche_env is rated Low

Tool only reads and reports local environment state with no side effects.

From the tool's definition Detect the local Avalanche toolchain, current project, and local L1s

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs avalanche_env safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Avalanche, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For avalanche_env, this is the rule to start with:

avalanche_env Allowed

avalanche_env is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "avalanche_env": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Avalanche, apply this rule, and every avalanche_env call is checked against it from then on.

FAQ

Questions about avalanche_env

What does the avalanche_env tool do? +

Detect the local Avalanche toolchain (avalanche-cli, Foundry), the current project, and any local L1s. It is categorised as a Read tool in the Avalanche MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on avalanche_env? +

Register the Avalanche MCP server in PolicyLayer and add a rule for avalanche_env: 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 Avalanche. Nothing to install.

What risk level is avalanche_env? +

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

Can I rate-limit avalanche_env? +

Yes. Add a rate_limit block to the avalanche_env 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 avalanche_env completely? +

Set action: deny in the PolicyLayer policy for avalanche_env. 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 avalanche_env? +

avalanche_env is provided by the Avalanche MCP server (@avakit/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Avalanche, and thousands of servers like it.

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Guides

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