Turn API endpoints into agent tools for AI
Visit WebsiteFreemiumVisit Website
What is Tinybird MCP?
Tinybird's official remote MCP server lets AI agents query a Workspace and turn published API Endpoints into agent tools.
Preview
Key Features
Turn each published API Endpoint into a callable toolNatural-language Q&A over dataText-to-SQLExecute SQLList datasources and endpoints
Pricing Plans
Pricing checked Jul 31, 2026
Free
Free
- Shared infrastructure
- 0.25 vCPUs
- 1 thread/request
- 1k requests per day
- 10GB included storage
- Community support
Developer
$49/month
- Shared infrastructure
- 0.5 vCPUs
- 1 thread/request
- 25GB included storage
- Vertical scaling
- 2 replicas included
- Standard support
SaaS
Custom
- Shared infrastructure
- Up to 32 vCPUs
- 4 to 16 threads/request
- 500GB included storage
- Vertical scaling
- 2 replicas included
- Enterprise support available
- Yearly commitments discount
Enterprise
Custom
- Dedicated infrastructure
- Unlimited vCPUs
- Custom threads/request
- Bottomless storage
- Vertical and horizontal scaling
- Cluster management
- Private regions available
- Enterprise support included
- Yearly commitments discount
Reviews
Be the first to review Tinybird MCP
Your take helps the next buyer. Verified LinkedIn reviewers get a badge.
Write a reviewBest Tinybird MCP Alternatives
Top alternatives based on features, pricing, and user needs.
OpenAI APIPaid
Programmatic access to OpenAI's full model lineup: GPT-5.5, o3, gpt-image-1
LangChainFreemium
Build LLM-powered applications
KeployFreemium
AI-powered API testing that records and replays real traffic
Context.devFreemium
The Web Context API for Developers
DevinPaid
AI software engineer by Cognition Labs
SteampipeFree
Dynamically query APIs, code, and cloud resources with SQL for Zero-ETL insights.
LlamaIndex MCPFreemium
Process documents with LlamaCloud via Python or TypeScript agents
Explore More
Tinybird MCP FAQ
How does Tinybird MCP turn API endpoints into agent tools?
Tinybird MCP is a remote MCP server that connects AI agents to a Tinybird Workspace. It automatically converts published API Endpoints into tools that agents can call, allowing them to query and interact with your data directly.
Which teams benefit most from using Tinybird MCP?
Teams building AI agents that need real-time access to structured data benefit most from Tinybird MCP. This includes developer teams working on agentic workflows, API tooling, and data-driven automation.
How does Tinybird MCP compare to LangChain for agent tool integration?
Tinybird MCP provides a dedicated remote MCP server that turns Tinybird API endpoints directly into agent tools, whereas LangChain offers a broader framework for building agent chains. Tinybird MCP is more specialized for querying a Tinybird Workspace without requiring custom tool wrapping.
What are the main limitations or trade-offs of Tinybird MCP?
Tinybird MCP is limited to querying a single Tinybird Workspace and only exposes published API Endpoints as tools. It does not support custom tool creation outside of those endpoints, so agents cannot perform arbitrary actions beyond the defined API surface.
How is Tinybird MCP priced?
Tinybird MCP is available on a free tier, with paid plans that offer more usage and additional features for higher-volume or more complex agent workloads.
Can Tinybird MCP integrate with any AI agent framework?
Yes, because Tinybird MCP is a standard remote MCP server, it can integrate with any AI agent framework that supports the MCP protocol. This includes popular frameworks like LangChain and LlamaIndex MCP.
Does Tinybird MCP require manual configuration for each API endpoint?
No, Tinybird MCP automatically discovers and exposes all published API Endpoints in your Workspace as agent tools. No manual configuration per endpoint is needed, streamlining the setup process.
Why would a developer choose Tinybird MCP over using the OpenAI API directly?
Tinybird MCP provides a ready-made MCP server that turns your Tinybird data endpoints into agent tools, eliminating the need to write custom function-calling code. Using the OpenAI API directly would require manually defining each tool and handling the query logic, which Tinybird MCP handles automatically.
Source: tinybird.co