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Databutler Policy Rates MCP Server

answering

Databutler Policy Rates is answering right now. Last checked 13 min ago. It exposes 1 tools.

Bank of England, Fed and ECB policy rates, read from the banks' own pages, with dates.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 8 days of history · worst day 39%
8 days agonow
98.9%
Uptime 24h
90 of 91 checks
1
Tools
read from the server
277 ms
Response time
average over 24h
open, no key
Access
streamable-http

Databutler Policy Rates does not always answer

Over the last week it answered 84.3% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add databutler-policy-rates --transport http https://databutler.dev/api/mcp/policy-rates
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "databutler-policy-rates": {
      "url": "https://databutler.dev/api/mcp/policy-rates"
    }
  }
}
~/.codex/config.toml
[mcp_servers.databutler-policy-rates]
url = "https://databutler.dev/api/mcp/policy-rates"
.cursor/mcp.json
{
  "mcpServers": {
    "databutler-policy-rates": {
      "url": "https://databutler.dev/api/mcp/policy-rates"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "databutler-policy-rates": {
      "url": "https://databutler.dev/api/mcp/policy-rates"
    }
  }
}

Available tools 1

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

policy
policy_rate
Current policy rate of one of three central banks, as published on the bank's own page: boe = Bank of England Bank Rate; fed = US Federal Reserve federal funds target range (lower and upper bound); ecb = European Central Bank deposit facility, main refinancing operations and marginal lending facility rates. Returns the figure(s) in % per annum, effectiveFrom, decisionDate and the meeting that set the level, the previous level with its effective date, the latest decision (which may be a hold), the next scheduled decision date, the official source page, the decision press release and verifiedDate. all: true returns every bank. Other central banks answer covered:false.

Endpoints

URLTransportStateLatencyChecked
https://databutler.dev/api/mcp/policy-rates streamable-http answering 213 ms 13 min ago

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Databutler Policy Rates — questions

Answers built from our own checks of this server.

What can Databutler Policy Rates do?
It exposes 1 tools, read directly from the server on our last check. Among them: policy_rate. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Databutler Policy Rates working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 91 checks got a reply (98.9%), average response time 277 ms. The bar chart above shows every period we have measured.
Is Databutler Policy Rates still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Databutler Policy Rates?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Databutler Policy Rates need an API key?
No. Databutler Policy Rates completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Databutler Policy Rates?
It answers our handshake in 277 ms on average, which is faster than 51% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.