timebase-mcp

Purpose: Providing a protocol server for integrating time-series data with AI and LLM applications using TimeBase.

Inferred · not functionally tested

Audience: ai developers and data engineers

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Frameworks & runtimes space, timebase-mcp takes a focused approach. Inferred · not functionally tested: It focuses on providing a protocol server for integrating time-series data with AI and LLM applications using TimeBase. Inferred · not functionally tested: timebase-mcp is an open-source project aimed at ai developers and data engineers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: timebase-mcp is available on the command line, and it can be self-hosted.

Behind timebase-mcp is EPAM, and it first shipped in 2026. The project is developed in the open on GitHub with 25 commits in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are MCP server, time-series integration, and AI/LLM support. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.