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hotkv-mcp

hotkv.comInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 11 Oct 2026. How this is checked

hotkv-mcp is an Apache-2.0 MCP server that connects AI agents to HotKV, a RESP2/RESP3-compatible in-memory data store. It supports reading and writing keys, agent memory, prompts, and RAG documents for developers building LLM applications.

Inferred · not functionally tested

Open SourceApache-2.0WebCLISelf-hostedAPI
hotkv-mcp preview
Visit hotkv.com

Overview

6 features

Purpose: Giving AI agents structured access to persistent key-value data, memory, prompts, and RAG documents.

Inferred · not functionally tested

Audience: developers building AI agents and LLM applications

Inferred · not functionally tested

Functions: agents, rag

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, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

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

In the Frameworks & SDKs space, hotkv-mcp takes a focused approach. Inferred · not functionally tested: It focuses on giving AI agents structured access to persistent key-value data, memory, prompts, and RAG documents. Inferred · not functionally tested: It is built as an open-source project for developers building AI agents and LLM applications. Basis unknown · not verified: hotkv-mcp is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the web, the command line, and API, and it can be self-hosted.

hotkv-ltd builds and maintains hotkv-mcp, and it first shipped in 2026. The project is developed in the open on GitHub with 1 commit in the last 90 days. Inferred · not functionally tested: Key capabilities include MCP server, key-value access, and agent memory. 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
  • Key-value access
  • Agent memory
  • Prompt storage
  • RAG documents
  • RESP2 support

Topics: Inferred · not functionally tested

Tags
mcp-serveragent-memoryrag-storagekey-value-store
AI capabilities
TextStructured
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCP
Runs on
BrowserCLISelf-hostedAPI-only

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed11 Oct · 08:24 UTC
    hotkv-mcp seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about hotkv-mcp

What does hotkv-mcp do?
Inferred · not functionally tested: Hotkv-mcp focuses on giving AI agents structured access to persistent key-value data, memory, prompts, and RAG documents. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use hotkv-mcp?
Inferred · not functionally tested: hotkv-mcp is an open-source project built for developers building AI agents and LLM applications.
Does hotkv-mcp have a free plan?
Basis unknown · not verified: Yes — hotkv-mcp is open source under the Apache-2.0 license and free to use.
What platforms does hotkv-mcp run on?
Basis unknown · not verified: hotkv-mcp runs on the web, the command line, and API. It can also be self-hosted.
Is hotkv-mcp still maintained?
The GitHub repository shows 1 commit in the last 90 days.
What are alternatives to hotkv-mcp?
Similar projects tracked by PulseGate include memocat-mcp, mcp-huddle, and kira-mcp.memocat-mcpmcp-huddlekira-mcp
Who develops hotkv-mcp?
hotkv-mcp is developed by hotkv-ltd.
When did hotkv-mcp launch?
hotkv-mcp first shipped in 2026.

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