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bedrok

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 12 Oct 2026. How this is checked

bedrok is an open-source local MCP server and data store for querying public macroeconomic data from central banks, statistics offices, and international organizations. It is intended for developers and AI assistants that need structured economic data without API keys.

Inferred · not functionally tested

Open SourceMITCLISelf-hostedAPI
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Overview

6 features

Purpose: Accessing public macroeconomic data from central banks and statistical organizations without managing API keys.

Inferred · not functionally tested

Audience: developers and AI assistant users working with economic data

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

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

bedrok is a Data integration & ETL project. Inferred · not functionally tested: It focuses on accessing public macroeconomic data from central banks and statistical organizations without managing API keys. Inferred · not functionally tested: bedrok is an open-source project aimed at developers and AI assistant users working with economic data. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: bedrok is available on the command line and API, and it can be self-hosted.

KrustyKronk builds and maintains bedrok, and it first shipped in 2026. Development happens publicly on GitHub with 7 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include MCP server, macroeconomic data, and central bank data. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

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

Tasks: Inferred · not functionally tested

  • MCP server
  • Macroeconomic data
  • Central bank data
  • SDMX support
  • DuckDB store
  • Local operation

Topics: Inferred · not functionally tested

Tags
macroeconomic-datacentral-bank-datasdmxmcp-serverduckdb
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Written with
Claude Code
Connectors
MCP
Runs on
CLISelf-hostedAPI-only
Written with — evidence
Claude Code
commit 345d402f9a3f · since Oct 2026

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed12 Oct · 11:43 UTC
    bedrok seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about bedrok

What does bedrok do?
Inferred · not functionally tested: Bedrok focuses on accessing public macroeconomic data from central banks and statistical organizations without managing API keys. It is catalogued under Data integration & ETL on PulseGate.
Who is bedrok for?
Inferred · not functionally tested: bedrok is an open-source project built for developers and AI assistant users working with economic data.
Is bedrok free?
Basis unknown · not verified: Yes — bedrok is open source under the MIT license and free to use.
What platforms does bedrok run on?
Basis unknown · not verified: bedrok runs on the command line and API. It can also be self-hosted.
Is bedrok still maintained?
The GitHub repository shows 7 commits in the last 90 days.
What are alternatives to bedrok?
Similar projects tracked by PulseGate include rfbpy, NodeXML, and Rilavek.rfbpyNodeXMLRilavek
Who makes bedrok?
bedrok is developed by KrustyKronk.
How long has bedrok been around?
bedrok first shipped in 2026.

Also in Data integration & ETL

Same category — not a similarity match