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rail-mcp

PyPIInfrastructure

PulseGate's liveness check found it on 3 Oct 2026; it is registered on PyPI and has been in the index since 16 Aug 2026. How this is checked

rail-mcp is an open-source MCP server that exposes the KRAIL local knowledge runtime to AI agents. It supports local-first knowledge access and agent integration through the Model Context Protocol.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

4 features

Purpose: Giving AI agents local access to a structured knowledge runtime through MCP.

Inferred · not functionally tested

Audience: AI developers and agent builders

Inferred · not functionally tested

Functions: agents, rag

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.

rail-mcp is a Frameworks & runtimes project. Inferred · not functionally tested: It focuses on giving AI agents local access to a structured knowledge runtime through MCP. Inferred · not functionally tested: rail-mcp is an open-source project aimed at AI developers and agent builders. Basis unknown · not verified: rail-mcp is open source under the MIT license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

AkeBoss-tech builds and maintains rail-mcp, and it first shipped in 2026. Development happens publicly on GitHub with 333 commits in the last 90 days. Inferred · not functionally tested: Among its 4 catalogued features are MCP server, local knowledge runtime, and AI agent access. 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

  • MCP server
  • Local knowledge runtime
  • AI agent access
  • Local-first storage

Topics: Inferred · not functionally tested

Tags
mcp-serverlocal-knowledgeai-agentsknowledge-runtime
AI capabilities
TextStructured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Connectors
MCPgithub
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed16 Aug · 17:40 UTC
    rail-mcp seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about rail-mcp

What does rail-mcp do?
Inferred · not functionally tested: Rail-mcp focuses on giving AI agents local access to a structured knowledge runtime through MCP. It is catalogued under Frameworks & runtimes on PulseGate.
Who should use rail-mcp?
Inferred · not functionally tested: rail-mcp is an open-source project built for AI developers and agent builders.
Does rail-mcp have a free plan?
Basis unknown · not verified: Yes — rail-mcp is open source under the MIT license and free to use.
What platforms does rail-mcp run on?
Basis unknown · not verified: rail-mcp runs on the command line. It can also be self-hosted.
Is rail-mcp still maintained?
PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 333 commits in the last 90 days.
What projects are similar to rail-mcp?
Similar projects tracked by PulseGate include mcp-redmine, kira-mcp, and rl-mcp.mcp-redminekira-mcprl-mcp
Who makes rail-mcp?
rail-mcp is developed by AkeBoss-tech.
When did rail-mcp launch?
rail-mcp first shipped in 2026.

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