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lockkeeper

PyPIInfrastructure

PulseGate's liveness check found it on 27 Sep 2026; it is registered on PyPI and has been in the index since 27 Sep 2026. How this is checked

Lockkeeper is an open-source CLI that routes skills, MCP servers, and tools to AI coding agents such as Claude Code, Codex, and Cursor. It also provides prompt-injection protection for agent workflows and context handling.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Choosing appropriate agent skills and tools while reducing prompt-injection risks in AI coding workflows.

Inferred · not functionally tested

Audience: developers using AI coding agents

Inferred · not functionally tested

Functions: agents, workflow_automation

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: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

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

In the AI security & guardrails space, lockkeeper takes a focused approach. Inferred · not functionally tested: It focuses on choosing appropriate agent skills and tools while reducing prompt-injection risks in AI coding workflows. Inferred · not functionally tested: lockkeeper is an open-source project aimed at developers using AI coding agents. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: lockkeeper is available on the command line, and it can be self-hosted.

lockkeeper first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are skill routing, prompt-injection firewall, and MCP server routing. Basis unknown · not verified: Catalogued interfaces include an MCP server.

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

Tasks: Inferred · not functionally tested

  • Skill routing
  • Prompt-injection firewall
  • MCP server routing
  • Tool selection
  • Context management
  • Coding-agent support

Topics: Inferred · not functionally tested

Tags
prompt-injection-firewallagent-skill-routingmcp-server-managementcoding-agent-security
AI capabilities
TextCode
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCPvscode
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen Source

Indexing history

3

What PulseGate has recorded for this listing

  1. Indexed27 Sep · 15:59 UTC
    lockkeeper seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed27 Sep · 15:26 UTC
    lockkeeper seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  3. Indexed27 Sep · 14:39 UTC
    lockkeeper seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about lockkeeper

What is lockkeeper?
Inferred · not functionally tested: Lockkeeper focuses on choosing appropriate agent skills and tools while reducing prompt-injection risks in AI coding workflows. It is catalogued under AI security & guardrails on PulseGate.
Who is lockkeeper for?
Inferred · not functionally tested: lockkeeper is an open-source project built for developers using AI coding agents.
Does lockkeeper have a free plan?
Basis unknown · not verified: Yes — lockkeeper is open source under the MIT license and free to use.
What platforms does lockkeeper run on?
Basis unknown · not verified: lockkeeper runs on the command line. It can also be self-hosted.
Is lockkeeper still active?
PulseGate's liveness check found it on 27 Sep 2026.
When did lockkeeper launch?
lockkeeper first shipped in 2026.
Is lockkeeper open source?
Basis unknown · not verified: Yes — lockkeeper is open source under the MIT license.
Does lockkeeper have an API or integrations?
Basis unknown · not verified: Yes — lockkeeper exposes an MCP server.

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