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datahub-agent-context

datahub.ioInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on PyPI and has been in the index since 30 Jun 2026. How this is checked

datahub-agent-context is an open-source package providing Model Context Protocol (MCP) tools for AI agents. It enables efficient context and metadata management, supporting integration with agent frameworks and AI workflows. Designed for AI developers and researchers.

Inferred · not functionally tested

Open SourceApache-2.0WebCLIAPISelf-hosted
datahub-agent-context preview
Visit datahub.io
12.2kstars
3.5kforks
5features
2015since

Overview

5 features

Purpose: Enabling AI agents to manage and utilize context and metadata efficiently using MCP tools.

Inferred · not functionally tested

Audience: AI developers and agent framework builders

Inferred · not functionally tested

Functions: agents

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: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: datahub.io. These links do not verify the individual claims.

datahub-agent-context is a Frameworks & runtimes project. Inferred · not functionally tested: It focuses on enabling AI agents to manage and utilize context and metadata efficiently using MCP tools. Inferred · not functionally tested: It is built as an open-source project for AI developers and agent framework builders. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.

DataHub Project builds and maintains datahub-agent-context, and it first shipped in 2015. The project is developed in the open on GitHub with 12.2k stars and 886 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are MCP tools, context management, and metadata handling. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.

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

Tasks: Inferred · not functionally tested

  • MCP tools
  • Context management
  • Metadata handling
  • Agent integration
  • Open source

Topics: Inferred · not functionally tested

Tags
mcp-toolsagent-contextmetadata-managementai-agentspython-package
AI capabilities
Structured
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Next.js
Hosting
Vercel
Connectors
MCPAPI
Runs on
BrowserCLIAPI-onlySelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierActive maintenance

Indexing history

12

What PulseGate has recorded for this listing

  1. Indexed7 Oct · 13:46 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed30 Sep · 02:54 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  3. Indexed29 Sep · 18:20 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  4. Indexed24 Sep · 06:43 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  5. Indexed23 Sep · 15:11 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  6. Indexed22 Sep · 12:23 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  7. Indexed22 Sep · 07:50 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  8. Indexed22 Sep · 05:57 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  9. Indexed21 Sep · 20:34 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  10. Indexed21 Sep · 13:53 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  11. Indexed21 Sep · 13:37 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  12. Indexed21 Sep · 09:03 UTC
    datahub-agent-context seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about datahub-agent-context

What is datahub-agent-context?
Inferred · not functionally tested: Datahub-agent-context focuses on enabling AI agents to manage and utilize context and metadata efficiently using MCP tools. It is catalogued under Frameworks & runtimes on PulseGate.
Who is datahub-agent-context for?
Inferred · not functionally tested: datahub-agent-context is an open-source project built for AI developers and agent framework builders.
Is datahub-agent-context free?
Basis unknown · not verified: Yes — datahub-agent-context is open source under the Apache-2.0 license and free to use.
What platforms does datahub-agent-context run on?
Basis unknown · not verified: datahub-agent-context runs on the web, the command line, and API. It can also be self-hosted.
Is datahub-agent-context still maintained?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 886 commits in the last 90 days.
What are alternatives to datahub-agent-context?
Similar projects tracked by PulseGate include dataform-context-mcp, DataHub Analytics Agent, and people-context.dataform-context-mcpDataHub Analytics Agentpeople-context
Who makes datahub-agent-context?
datahub-agent-context is developed by DataHub Project.
How long has datahub-agent-context been around?
datahub-agent-context first shipped in 2015.

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