Status basis: npm_downloads_7d momentum fell to -9 per 3d from 25 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -9 per 3d from 25 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -6 per 3d from 28 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 28 (<= 40% of the prior window)
- Anomaly daily change 25.0 is 6.4 standard deviations from this entity's own prior mean (-0.3±3.9, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 25.0 is 6.4 standard deviations from this entity's own prior mean (-0.3±3.9, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 25 in the last 3d vs 3 in the 3d before (ratio 8.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 28 (<= 40% of the prior window)
- Anomaly daily change 25.0 is 6.4 standard deviations from this entity's own prior mean (-0.3±3.9, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 25.0 is 6.4 standard deviations from this entity's own prior mean (-0.3±3.9, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 25.0 is 6.4 standard deviations from this entity's own prior mean (-0.3±3.9, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 10 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -13 per 3d from 18 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 19 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 10 in the last 3d vs 2 in the 3d before (ratio 5.0x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -7 per 3d from 19 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 18 in the last 3d vs 3 in the 3d before (ratio 6.0x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 19 in the last 3d vs 2 in the 3d before (ratio 9.5x, threshold 1.5x)
- Anomaly daily change 17.0 is 6.6 standard deviations from this entity's own prior mean (-0.5±2.7, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 9 in the last 3d vs 2 in the 3d before (ratio 4.5x, threshold 1.5x)
- Anomaly daily change 17.0 is 6.6 standard deviations from this entity's own prior mean (-0.5±2.7, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -1 per 3d from 10 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -10 per 3d from 16 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 7 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -9 per 3d from 16 (<= 40% of the prior window)
| Machine-callable | — | unknown | — |
| Open source | 1 | inferred | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
It demonstrates how large language models can be applied to real-world regulatory complexity, offering a template for AI-driven financial literacy tools.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“An MCP (Model Context Protocol) server that gives Claude Code — or any MCP client — live Bank of England data”— readme
“An MCP (Model Context Protocol) server”— readme
FAQ
What is Remortgaging?
The MCP tool built for the Bank of England uses Claude to decode complex UK mortgage regulations, helping users understand eligibility and policy changes.
What does Remortgaging do?
Understand UK mortgage policies and eligibility rules through AI interpretation of official financial documents
Why does Remortgaging matter?
It demonstrates how large language models can be applied to real-world regulatory complexity, offering a template for AI-driven financial literacy tools.
Is Remortgaging open source?
Yes — Remortgaging is open source.
What does Remortgaging integrate with?
mcp
How popular is Remortgaging?
As tracked by KanonAgent: 2 upvotes (first indexed 2026-07-24).
What are the best Remortgaging alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.