Integration

Tinybird integration

Tinybird is a real-time analytics backend that lets you ingest, transform, and query massive amounts of data with sub-second latency. Build real-time dashboards, user-facing analytics, and data APIs using SQL. Features include streaming data ingestion, materialized views, parameterized API endpoints, and seamless integration with data warehouses. Perfect for product analytics, IoT data, financial metrics, and any use case requiring fast analytics at scale.

Connect Tinybird How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Tinybird.Built from the 10 Tinybird tools below, on the connection you add once.

Common Tinybird use cases

data lifecycle management
security auditing
resetting test data
ad-hoc data analysis
user-facing analytics
cleanup test datasources
real-time event tracking
discovering available APIs
setting up new data pipeline
discovering datasource schemas

What you can do with Tinybird

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Datasource, 5 operations

create_datasourceCreate datasourcePOSTCreates a new Tinybird datasource with defined schema and engine configuration for optimized analytical queries.
delete_datasourceDelete datasourceDELETEPermanently deletes a Tinybird datasource and all its data. Cannot be undone.
get_datasource_infoGet datasource infoGETRetrieves detailed information about a Tinybird datasource including full schema, statistics, and configuration.
list_datasourcesList datasourcesGETLists all datasources in your Tinybird workspace including schemas, row counts, and storage statistics.
truncate_datasourceTruncate datasourcePOSTRemoves all data from a Tinybird datasource while keeping the schema intact for new data ingestion.

Pipe, 2 operations

call_pipeCall pipeGETCalls a Tinybird pipe endpoint to execute a pre-defined, parameterized SQL query and get results via REST API.
list_pipesList pipesGETLists all pipes in your Tinybird workspace including SQL definitions, parameters, and endpoint URLs.

Event, 1 operation

ingest_eventsIngest eventsPOSTIngests real-time events into a Tinybird datasource using NDJSON format for high-throughput streaming data ingestion.

Query, 1 operation

queryQueryPOSTExecutes a SQL query against Tinybird datasources with sub-second latency. Supports complex aggregations and joins.

Token, 1 operation

get_tokensGet tokensGETLists all API tokens in your Tinybird workspace including permissions, scopes, and usage statistics.

Use Tinybird from Claude Code, Cursor or Codex

Connect Tinybird in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Tinybird operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Tinybird

Create your workspace
Sign up free. Nothing to install.
Connect Tinybird once
Add your Tinybird connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Tinybird integration FAQ

What can you do with the Tinybird integration?

LiveContext exposes 10 operations on Tinybird, covering datasource, pipe, event and query. Common uses include data lifecycle management, security auditing and resetting test data.