Noderail
Attach provenance and governance metadata so your agent knows which local knowledge files are authoritative and trustworthy.
Overview
NodeRail is a Ship-phase MCP server that enforces provenance and governance for AI-readable knowledge from a local NodeRail repository.
What is this MCP server?
- Provenance and governance layer focused on AI-readable knowledge trust decisions
- npm package @noderail/mcp v1.0.1 with stdio transport and Node runtime hint
- Requires NODERAIL_REPO_PATH pointing at your local NodeRail repository
- Answers “what should AI trust?” rather than raw file dump without lineage
- npm identifier @noderail/mcp version 1.0.1
- Transport stdio; required env NODERAIL_REPO_PATH
- MCP server schema 2025-12-11
What problem does it solve?
Agents treat every markdown file equally, so unvetted notes look as authoritative as signed-off policies.
Who is it for?
Builders running a local NodeRail knowledge base who need MCP access with trust and lineage semantics.
Skip if: Quick RAG over PDFs without governance, or teams unwilling to maintain a NodeRail repo on disk.
What do I get? / Deliverables
After setup, MCP-backed workflows can discriminate trusted, governed knowledge using your NodeRail repo path.
- MCP access to governed NodeRail knowledge with trust-oriented semantics
- Repeatable local repo path binding for agent sessions
Recommended MCP Servers
Journey fit
How it compares
Local provenance governance MCP, not cloud RAG and not runtime MCP attack monitoring.
Common Questions / FAQ
Who is noderail for?
Solo builders and small teams using NodeRail to govern which knowledge an AI agent should trust.
When should I use noderail?
Use it when shipping or hardening agent workflows that must respect provenance on local AI-readable knowledge.
How do I add noderail to my agent?
Install @noderail/mcp, set NODERAIL_REPO_PATH to your local NodeRail repository, configure stdio MCP in your client, and restart the agent.