Low Risk

score_server

Use this to get a quick health grade for an MCP server. Runs all checks (capabilities, tool invocation, security) and returns a 0-100 score with A-F grade and detailed breakdown across protocol compliance, schema quality, security, reliability, and performance.

Part of the Mcp Observatory server.

score_server is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call score_server to retrieve information from Mcp Observatory without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though score_server only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

See the full Mcp Observatory policy for all 13 tools.

Get this rule live on your own Mcp Observatory server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access score_server gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so score_server only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the score_server tool do? +

Use this to get a quick health grade for an MCP server. Runs all checks (capabilities, tool invocation, security) and returns a 0-100 score with A-F grade and detailed breakdown across protocol compliance, schema quality, security, reliability, and performance.. It is categorised as a Read tool in the Mcp Observatory MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on score_server? +

Register the Mcp Observatory MCP server in PolicyLayer and add a rule for score_server: 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 Mcp Observatory. Nothing to install.

What risk level is score_server? +

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

Can I rate-limit score_server? +

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

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

score_server is provided by the Mcp Observatory MCP server (@kryptosai/mcp-observatory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Observatory tool call.

Deterministic rules across all 13 Mcp Observatory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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