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Reference Data

10 tools. 1 can modify or destroy data without limits.

1 write tool that can modify data. Rate limits recommended.

Last updated:

1 can modify or destroy data
9 read-only
10 tools total

Community server · catalogue entry checked 05/08/2026 · full schemas captured for 9 of 10 tools

How to control Reference Data ↓

What Reference Data exposes to your agents

Read (9) Write / Execute (1) Destructive / Financial (0)
High Risk

The most dangerous Reference Data tools

1 of Reference Data's 10 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

How to control Reference Data

PolicyLayer is an MCP gateway — it sits between your AI agents and Reference Data, and nothing reaches the server without passing your rules. These are the rules we recommend:

Rate limit write operations
{
  "compute_vat": {
    "limits": [
      {
        "counter": "compute_vat_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "check_minimum_wage": {
    "limits": [
      {
        "counter": "check_minimum_wage_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register Reference Data — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON REFERENCE DATA →

Instant setup, no code required.

All 10 Reference Data tools

Questions about Reference Data

How do I prevent bulk modifications through Reference Data? +

The Reference Data server has 1 write tools including compute_vat. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach Reference Data.

How many tools does the Reference Data MCP server expose? +

10 tools across 2 categories: Read, Write. 9 are read-only. 1 can modify, create, or delete data.

How do I enforce a policy on Reference Data? +

Register the Reference Data MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Reference Data tool call.

Deterministic rules across all 10 Reference Data tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Instant setup, no code required.

10 Reference Data tools catalogued and risk-classified — across an index of 46,500+ MCP servers.

// WHERE THIS COMES FROM

These policies come from Reference Data's registry record.

The record behind this page: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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