What does rail-mcp do?

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?

rail-mcp is an open-source project built for AI developers and agent builders.

Does rail-mcp have a free plan?

Yes — rail-mcp is open source under the MIT license and free to use.

What platforms does rail-mcp run on?

rail-mcp runs on the command line. It can also be self-hosted.

Is rail-mcp still maintained?

The 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 race-mcp.

rail-mcp is developed by AkeBoss-tech.

When did rail-mcp launch?

rail-mcp first shipped in 2026.

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rail-mcp

Name: rail-mcp
Author: AkeBoss-tech

PyPIInfrastructure

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.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

4 features

rail-mcp is a Frameworks & runtimes project. It focuses on giving AI agents local access to a structured knowledge runtime through MCP. rail-mcp is an open-source project aimed at AI developers and agent builders. rail-mcp is open source under the MIT license. 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. Among its 4 catalogued features are MCP server, local knowledge runtime, and AI agent access. It exposes integrations via an MCP server.

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

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

Built with & integrations

Connectors

MCPgithub

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed16 Aug · 17:40 UTC
rail-mcp verified against its public source
Source: PulseGate · Open

Frequently asked questions about rail-mcp

What does rail-mcp do?: 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?: rail-mcp is an open-source project built for AI developers and agent builders.
Does rail-mcp have a free plan?: Yes — rail-mcp is open source under the MIT license and free to use.
What platforms does rail-mcp run on?: rail-mcp runs on the command line. It can also be self-hosted.
Is rail-mcp still maintained?: The 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 race-mcp.mcp-redmine kira-mcp race-mcp
Who makes rail-mcp?: rail-mcp is developed by AkeBoss-tech.
When did rail-mcp launch?: rail-mcp first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
License: MIT
First seen: 16 Aug 2026
Built for: AI developers and agent builders
Model: Open source
Solves: Giving AI agents local access to a structured knowledge runtime through MCP.

Registered as

PyPI: rail-mcp

Developer

AkeBoss-tech

Small team

Open source

Stars: 0
Forks: 0
Open issues: 3
Last commit: 16 Aug 2026
Commits 90d: 333
Contributors: 4
Authorship: Small team
Default branch: main
Latest release: v1.1.13 · 11 Aug 2026

Index record

Identity confidence: Low · 64
Indexed: 16 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 16 Aug 2026

Identity audit (13)

Slug: rail-mcp-pypi-org
Lifecycle state recorded: 16 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 16 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 16 Aug 2026
Canonical URL: https://pypi.org/project/rail-mcp

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