First-party Provenote MCP server for drafts, research threads, auditable runs, and knowledge search.
{
"mcpServers": {
"io-github-xiaojiou176-open-provenote-mcp": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
First-party Provenote MCP server for drafts, research threads, auditable runs, and knowledge search.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Commit history unknown.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
Add informationHave you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
956k Swiss court decisions: full-text search, citation graph, statute lookup (DE/FR/IT)
Luxembourg legislation via MCP — full-text search across statutes and provisions
Chilean legislation via MCP — full-text search across statutes and provisions
Senegal legislation via MCP -- full-text search across statutes and provisions
MCP Security Weekly
Get CVE alerts and security updates for io.github.xiaojiou176-open/provenote-mcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
Messy long context -> structured insight -> notes, research threads, and inspectable outcomes.
Quick Result Path · Long Context · Public Proof · Project Status · Docs
Second ring: MCP & Integrations · Starter Bundles · Distribution · FAQ · Discussions
Star Provenote if you want a source-heavy AI workbench that stays inspectable after the chat scrollback is gone.


This illustrated overview is a repo-authored summary of the shortest documented path. It is intentionally not presented as a live product recording.
Canonical product path:
messy long context -> structured insight -> note / research thread / draft -> inspectable outcome
That is the first door. MCP, starter bundles, distribution pages, and promotion assets are valuable second-ring surfaces, but they should not outrank the product path.
If you only want the fastest honest map, use this:
| Question | Open this first | Why | | --- | --- | --- | | "Can this help with messy long context?" | Long Context | This is the product center, not a side use case. | | "Can I get one real result quickly?" | Quick Result Path | This is the shortest repo-documented local proof loop. | | "Is this real or just copywriting?" | Public Proof | This is the evidence layer. | | "What is still intentionally unclaimed?" | Project Status | This is the boundary page. |
Judge the workbench before you judge the side doors. MCP pages, starter bundles, distribution packs, and promotion assets matter, but they are second-layer surfaces around the main product path.
Most AI note tools make it easy to generate words and hard to verify where those words came from.
That gets even worse when the raw material is long and messy: a huge chat log, a copied forum thread, a meeting recap, or a web page pile you do not want to flatten into one more throwaway summary.
Provenote is built for the opposite direction: