Tinybird
This MCP server, developed by Tinybird, enables AI assistants to interact with Tinybird workspaces for data exploration and analysis. Built in Python, it provides tools for querying data sources, executing API endpoints, and pushing data files. The server leverages Tinybird's real-time analytics capabilities, allowing AI models to access and analyze large datasets efficiently. Key features include SQL query execution, data source exploration, and integration with Tinybird's documentation. By bridging AI assistants with powerful analytics infrastructure, this implementation is particularly useful for tasks involving data-driven insights, business intelligence, and real-time data exploration across various domains.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/tinybirdco/mcp-tinybird
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Tinybird from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.