MCP.Market

Databutler Policy Rates MCP server

online · 100% uptime
by physics-star-cat·io.github.physics-star-cat/databutler-policy-rates·v1.0.0
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Bank of England, Fed and ECB policy rates, read from the banks' own pages, with dates.

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Growing

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If you have run it, two minutes of your experience saves the next person an afternoon.

Databutler Policy Rates tools (1)

write = sends, deletes, buys or posts
  • policy_rateFree

    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.

Public scan report

scanner v0.1.10 · 2026-10-14 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 181ms20/20
  • Tool poisoning1 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Databutler Policy Rates compares

Against every graded Finance MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 93% of 1,761 Finance servers
Tools
1
the typical Finance server has 8
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote Finance server answers 100%
Response time
71 ms
faster than 91% of 1,133 Finance servers

What its tools let an agent do: 1 read

Install Databutler Policy Rates in Claude Code, Cursor or VS Code

claude mcp add --transport http databutler-policy-rates https://databutler.dev/api/mcp/policy-rates
Add to Cursor

What the publisher says

From the Databutler Policy Rates repository's README, as published. We do not edit it. Read it on GitHub

Data Butler (databutler.dev)

An agent honeypot: clean, verified UK public data served to AI agents via MCP and REST. Not an SEO play — no GSC ambitions. The customer is an AI assistant answering a human's question; the product is being the source that is right, with provenance on every number.

Vercel default databutler.vercel.app works, but registry listings must NOT be published until the final domain is live — listings bake in URLs).

  • Planned domain: databutler.dev (until purchased/connected, the

MCP serving, domain attached, listed on Smithery (drchriseames/databutler-uk-exams, -uk-rates) and the official MCP Registry (io.github.physics-star-cat/databutler-uk-exams, -uk-rates). Tracking LIVE (GA4 property 552213153, verified in realtime; monitored by webmon 🤖 column). PulseMCP will auto-ingest from the official registry. Front door POST /api/mcp — built 2026-09-01 on branch feat/front-door; listing as io.github.physics-star-cat/databutler / Smithery drchriseames/databutler pending deploy.

  • Status: LIVE (launched 2026-08-31): https://databutler.dev — REST +

lowriskquotes.com (Monte Carlo) — full history in ../docs/AUDIT2026-08-30five-sites.md §3b–3e and ../docs/MONETISATION-DECISION.md.

  • Born 2026-08-31 out of the agent-API work on whatbreaks.uk (MOT data) and

The model (one brand, many focused servers)

There is no domain authority in MCP registries — discovery is per-listing. So this is NOT one mega-server (tool-list bloat kills those); it is one domain/repo/brand hosting separate, focused MCP endpoints, each listed individually under one namespace, cross-referencing each other:

Front door (2026-09): POST /api/mcp lists the five high-frequency tools directly plus whatchangedsince, coverage, catalogue, call. It is still not a mega-server — everything else stays behind call, capped at 9 listed tools by test. The focused servers remain live and listed.

The roadmap is ordered by (value to an AI agent) × (likelihood we can build it well). It deliberately includes the maintainer-Claude wishlist — this product is designed with Claude as the end user, by Claude:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Databutler Policy Rates: common questions

Is Databutler Policy Rates MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the Databutler Policy Rates safety report
How do I install Databutler Policy Rates?
It runs remotely at databutler.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Databutler Policy Rates need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Databutler Policy Rates maintained?
The last commit was 22 days ago (2026-10-13). The latest release is v1.0.0.
Is Databutler Policy Rates up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Databutler Policy Rates?
Servers from other publishers that do the same job: Bcra MCP server, Central Bank Rates (AllRatesToday) MCP server and BankMCP™ MCP server.
How does Databutler Policy Rates compare with other Finance MCP servers?
safety score 91/100 (higher than 93% of 1,761 Finance servers); tools 1 (the typical Finance server has 8); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Databutler Policy Rates

Same job from other publishers: the closest match first, then the best rated.

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    More from codespar →
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