Add mcp-construe and mcp-persona-sessions to Community Servers #2806
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Add mcp-construe to Community Servers
Description
Adding mcp-construe to the community servers section - a FastMCP server for intelligent Obsidian vault context management with frontmatter filtering and secure bidirectional knowledge operations.
Server Details
Motivation and Context
mcp-construe solves a critical problem for AI-powered knowledge work: intelligently curating personal knowledge from Obsidian vaults for AI conversations.
Key problems solved:
This enables users to:
How Has This Been Tested?
Extensively tested with Claude Desktop and Claude Code:
Scenarios tested:
Production use:
Breaking Changes
No breaking changes - this is a new server addition to the community servers list.
Types of changes
Checklist
Additional context
Security Features:
Key Tools Provided:
fetch_context()
- Load files by context typefetch_matching_files()
- Flexible property/tag filteringfetch_frontmatter_index()
- Lightweight metadata browsingsearch_vault_content()
- Content-based discovery with regexcreate_file()
- Protected file creation with frontmatterReal-world Impact:
Used daily in healthcare AI innovation work and conservation technology projects, demonstrating practical value for knowledge workers using AI assistants with personal knowledge bases.