What years of active travel data are available?

The MCP provides walking and cycling survey data for the 2010/11 and 2017/18 periods.

How do I filter bicycle hire data by date?

You can use the bicycle_hires_daily capability with ISO formatted dates (YYYY-MM-DD) to set your search range.

Does this include Santander Cycles data?

Yes, the bicycle hire capabilities provide data for Santander Cycles (formerly known as Cycle Hire).

Can I see which borough has the highest cycling rate?

Yes, use the active_travel_ranking capability to see the top and bottom performing local authorities.

Is the data from official sources?

Yes, all data is pulled from the London open-data platform (data.london.gov.uk).

Do I need an API key?

No. data.london.gov.uk publishes every dataset as an anonymous file download (CSV or Excel). This MCP defines no credentials and needs nothing configured.

What do the 5x / 20x / 40x per week frequencies mean?

The survey asks respondents how many times per week they walk or cycle. 5x-per-week is the everyday-use slice and the default for the ranking and overview capabilities; 20x and 40x are the heavier-use slices. Pick the frequency you are comparing.

Which hire scheme is in the daily series?

The TFL daily counts come from the city's Sycamore (dockless) hire scheme: each row is one calendar day and the hires recorded that day. Per-year totals and the busiest day come from aggregating those rows.

Why are London, Inner London and England out of the ranking?

The ranking compares local authorities against each other; the city-wide and England rows are aggregates, not an authority, so they are excluded by default. Use active_travel_lookup to read those aggregate rows directly.

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Connect London Cycling Active Travel Modal Share to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get instant access to London mobility and bicycle-hire datasets.

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MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through London Datastore.

01
Active travel lookup
This capability retrieves walking and cycling time series for a single local authority. It returns the specific shares across the survey years for the requested area.
02
Active travel overview
This capability combines both datasets into one call. It provides 2017/18 authority averages alongside hire totals and peak usage days.
03
Active travel ranking
This capability ranks local authorities by their cycling rates. It excludes aggregate areas like Inner London to focus on individual borough comparisons.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through London Datastore.

04
Active travel rates
This capability provides GLA walking and cycling rates for the 33 London boroughs and aggregate areas. You can filter by specific local authority, year, or trip frequency.
05
Bicycle hires by year
This capability provides annual Santander Cycles hire totals from 2010 to the most recent data. Each year includes the total count and the busiest day recorded.
06
Bicycle hires daily
This capability pulls daily Santander Cycles totals for London. You can use ISO date bounds to narrow down specific timeframes.

Real work

What teams actually run

Borough Benchmarking

Compare how different London authorities perform in terms of cycling rates.

Hire Demand Analysis

Identify seasonal peaks or the busiest days for Santander Cycles hires.

Trend Monitoring

Track the change in walking and cycling shares between the 2010/11 and 2017/18 surveys.

Rapid Reporting

Generate headline numbers for active travel and bike hires using the overview capability.

One connector, every AI

London Datastore works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put London Datastore to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1747ms average. Fast in production.

London Datastore is checked daily against the live service.

Daily averagePeak 2417ms

Sep 28Today

Fastest day: 1625ms
Slowest day: 2417ms
14-day trend: Slowing+33%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of London Datastore, so you can see the experience inside your AI.

It does not authenticate your account with London Datastore. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

London Datastore Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_uzxKGGAkx3XKYDRXUYg3slCwa2RKOYvOPSLj26AK/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — London Datastore capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "london-cycling-active-travel-modal-share-hires-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_uzxKGGAkx3XKYDRXUYg3slCwa2RKOYvOPSLj26AK/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up London Datastore in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work London Datastore owners hand off.

This MCP is built for professionals who need to query official London mobility data without manual CSV downloads.

01
Mobility Planners
They use the capability to benchmark borough-level active travel uptake and hire demand.
02
Urban Journalists
They query specific cycling rates and hire trends to report on city movement.
03
Researchers
They use the time series data to compare long-term shifts in walking and cycling habits.

FAQ

Questions London Datastore owners ask.

01
What years of active travel data are available?
The MCP provides walking and cycling survey data for the 2010/11 and 2017/18 periods.
02
How do I filter bicycle hire data by date?
You can use the bicycle_hires_daily capability with ISO formatted dates (YYYY-MM-DD) to set your search range.
03
Does this include Santander Cycles data?
Yes, the bicycle hire capabilities provide data for Santander Cycles (formerly known as Cycle Hire).
04
Can I see which borough has the highest cycling rate?
Yes, use the active_travel_ranking capability to see the top and bottom performing local authorities.
05
Is the data from official sources?
Yes, all data is pulled from the London open-data platform (data.london.gov.uk).
06
Do I need an API key?
No. data.london.gov.uk publishes every dataset as an anonymous file download (CSV or Excel). This MCP defines no credentials and needs nothing configured.
07
What do the 5x / 20x / 40x per week frequencies mean?
The survey asks respondents how many times per week they walk or cycle. 5x-per-week is the everyday-use slice and the default for the ranking and overview capabilities; 20x and 40x are the heavier-use slices. Pick the frequency you are comparing.
08
Which hire scheme is in the daily series?
The TFL daily counts come from the city's Sycamore (dockless) hire scheme: each row is one calendar day and the hires recorded that day. Per-year totals and the busiest day come from aggregating those rows.
09
Why are London, Inner London and England out of the ranking?
The ranking compares local authorities against each other; the city-wide and England rows are aggregates, not an authority, so they are excluded by default. Use active_travel_lookup to read those aggregate rows directly.

Explore

More in Government Public Data

Connect London Datastore to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Active travel lookup

Active travel overview

Active travel ranking

04-06

Active travel rates

Bicycle hires by year

Bicycle hires daily

What teams actually run

Borough Benchmarking

Hire Demand Analysis

Trend Monitoring

Rapid Reporting

Building your own app? The connector is yours to use.

London Datastore Connector

Claude Desktop

Mobility Planners

Urban Journalists

Researchers

What years of active travel data are available?

How do I filter bicycle hire data by date?

Does this include Santander Cycles data?

Can I see which borough has the highest cycling rate?

Is the data from official sources?

Do I need an API key?

What do the 5x / 20x / 40x per week frequencies mean?

Which hire scheme is in the daily series?

Why are London, Inner London and England out of the ranking?

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