3,400+ servers built on vurb.ts
Vinkius
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Bring Public Transport
to LlamaIndex

Learn how to connect Transport for London to LlamaIndex and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get ArrivalsGet Bike Point DetailGet Bike PointsGet JourneyGet Line DetailGet Line RoutesGet Line StatusGet Road DisruptionsGet Road StatusGet Stop DetailsSearch Stop
Transport for London

What is the Transport for London MCP Server?

Connect to Transport for London (TfL) and access real-time London transit data through natural conversation — no API key needed.

What you can do

  • Tube Status — Check real-time status of all Underground lines (Good Service, Minor/Severe Delays, Suspended)
  • Line Details — Get detailed info about any tube, overground, DLR, Elizabeth line or tram route
  • Bus Arrivals — Get live bus arrival predictions for any stop
  • Journey Planning — Plan journeys between any two London locations with step-by-step directions
  • Road Status — Check major road status and disruptions across London
  • Bike Points — Find Santander Cycle docking stations with bike and dock availability
  • Stop Search — Search for bus stops, tube stations and river piers by name

How it works

1. Subscribe to this server
2. No API key needed — TfL API is free and open
3. Start exploring London transit data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • London Commuters — check tube status, plan journeys and find bus arrivals in real-time
  • Tourists — navigate London's transport system with live arrival data and journey planning
  • Developers — integrate TfL transit data into apps and travel tools

Built-in capabilities (11)

get_arrivals

Returns predicted arrival times, destination, line number, vehicle ID and expected time to station. Use the stop point ID (e.g. "490009056W") from search_stop. Get live arrival predictions for a bus stop

get_bike_point_detail

Get detailed info for a specific bike docking station

get_bike_points

Returns bike availability, dock availability, station locations and status. Useful for finding nearby bikes for cycling journeys. Search for Santander Cycle (Boris Bike) docking stations

get_journey

Returns multiple route options with estimated duration, walking distance, fare cost, number of changes and step-by-step directions. Input locations can be station names, addresses or postcodes. Plan a journey between two points in London

get_line_detail

Supports tube, overground, DLR, Elizabeth line, tram and river bus lines. Get detailed information about a specific TfL line

get_line_routes

Returns the ordered list of stations the line serves. Useful for understanding the full journey path of a tube line. Get the route sequence for a TfL line

get_line_status

Shows whether each line has Good Service, Minor Delays, Severe Delays, or is Suspended/Part Suspended. If no line IDs specified, returns all tube lines. Use line_ids to check specific lines (comma-separated, e.g. "central,victoria,northern"). Get real-time status for TfL tube lines

get_road_disruptions

Returns disruption details with severity, location, cause and estimated clearance times. Get current road disruptions in London

get_road_status

Shows whether roads have Good, Minor or Severe congestion. Get status of London major roads

get_stop_details

Useful for identifying the correct stop ID for arrival queries. Get details for a specific bus stop or station

search_stop

Returns matching stops with their IDs, locations, modes and routes. Use the returned IDs with get_arrivals or get_stop_details. Search for bus stops and stations by name

Why LlamaIndex?

LlamaIndex agents combine Transport for London tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

  • Data-first architecture: LlamaIndex agents combine Transport for London tool responses with indexed documents for comprehensive, grounded answers

  • Query pipeline framework lets you chain Transport for London tool calls with transformations, filters, and re-rankers in a typed pipeline

  • Multi-source reasoning: agents can query Transport for London, a vector store, and a SQL database in a single turn and synthesize results

  • Observability integrations show exactly what Transport for London tools were called, what data was returned, and how it influenced the final answer

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See it in action

Transport for London in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Transport for London and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Transport for London to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Transport for London in LlamaIndex

The Transport for London MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 11 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Transport for London
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures Transport for London for LlamaIndex

Every tool call from LlamaIndex to the Transport for London MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Do I need an API key?

No! TfL's Unified API is completely free and open. No authentication required.

02

What transport modes are covered?

TfL covers: Tube (Underground), Overground, DLR, Elizabeth line, Tram, Bus, River Bus, Santander Cycles (Boris Bikes) and major roads across London.

03

Can I plan a journey between two locations?

Yes! Use get_journey with origin and destination (station names, addresses or postcodes). Returns multiple route options with duration, changes, walking distance and step-by-step directions.

04

Can I check live bus arrivals?

Yes! First use search_stop to find the stop ID by name, then use get_arrivals with that stop ID to get real-time bus arrival predictions.

05

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

06

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Transport for London tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

07

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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BasicMCPClient not found

Install: pip install llama-index-tools-mcp