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Secure offline MCP server for searching and editing local Markdown notes
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "secure-local-mcp" yet — see the docs or source repo.
Search my local Markdown notes for “SQLite FTS5” and return the most relevant file names and matching snippets.
A list of relevant notes with matched context snippets.
Read the contents of notes/project-plan.md and summarize the key action items.
The note content or a summary with the main action items extracted.
Write today’s meeting conclusions to notes/meetings/2025-02-10.md, organized with Markdown headings and bullet points.
Structured meeting notes written to the specified Markdown file.
Developers, researchers, or writers can let AI search Markdown notes on their machine to quickly find relevant topics, files, and excerpts. It fits workflows where notes should not be uploaded to the cloud.
When users want AI to read, append, or update local notes, this tool can list, read, and write files in an offline environment. It is useful for personal knowledge management and project documentation.
For users who need tighter control over local file access, this MCP server emphasizes security and directory traversal protection. It is suitable for reducing overreach risks when AI works with local documents.
It is a fully offline, secure MCP server that lets AI agents search, read, write, and list local Markdown notes. It uses SQLite FTS5 for full-text search and includes directory traversal protection.
Based on the description, it is fully offline. The provided information does not mention any optional online capability.
The provided material only says it is an MCP server and uses SQLite FTS5. Specific installation steps, runtime requirements, and configuration details are not provided; see the source repository.
Provide persistent local semantic memory for MCP tools to store and search notes.
Let AI create, edit, search Markdown notes, and detect conflicts via MCP.
Let AI read, write, search files, and run local commands.
Securely let AI read, search, and edit local files with local LLMs.
Manage and semantically search Markdown notes for Q&A and note generation.
Save and search project notes and design decisions in tracked local storage.