mcp-logseq
★ 343
vs
stashbase
★ 1.1k
mcp-logseq vs stashbase
mcp-logseq: This MCP server seamlessly integrates Claude with your LogSeq knowledge base, enabling AI-powered interaction for reading, creating, and managing pages. It enhances productivity through intelligent organization, automated content creation, and optional semantic vector search across your notes.; stashbase: StashBase enables AI agents to search and utilize content from your local files, including PDFs, DOCX, images, audio, and video. It creates a searchable index from your folders, allowing agents to find relevant context by meaning rather than just keywords.
01
TL;DR
mcp-logseqRAG / Knowledge Base · ★ 343
Intelligent Knowledge Management: Analyze project notes, create status summaries, and generate study roadmaps.
stashbaseRAG / Knowledge Base · ★ 1.1k
When to choose:
- You want a desktop app that indexes folders of PDFs, DOCX, images, audio and video and shares them with Claude, Codex and other MCP clients.
- Your files must stay the source of truth: the index can be rebuilt, and removing a folder never deletes files.
- You want exact text search with no key, and semantic search only if you opt in.
When to skip:
- Your documents cannot leave the machine and you need semantic search: it sends content to OpenAI or OpenRouter.
- You are on Linux and need official support: Linux builds are community-supported.
- You only need one file converted now and then: an MCP converter is lighter.
02
Side-by-Side Comparison
Field
mcp-logseqstashbaseCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 343
★ 1.1k
License
MIT
Apache-2.0
Install Command
claude mcp add mcp-logseq --env LOGSEQ_API_TOKEN=your_token_here --env LOGSEQ_API_URL=http://localhost:12315 -- uv run --with mcp-logseq mcp-logseq
brew install --cask liliu-z/stashbase/stashbase
Updated
3w ago
1d ago
Open Source
Yes
Yes
Tags
LogSeq, Claude, AI Assistant
Local Files, RAG, AI Agents
03
Features
mcp-logseq01Zero Context Switching: Claude works directly with your LogSeq data.
02AI-powered Page Management: Intelligent organization, creation, linking, and search.
03Semantic Vector Search (optional): Find notes by meaning using local Ollama or hosted OpenAI-compatible embeddings.
04Smart Markdown Parsing: Automatically converts markdown into Logseq's native block structure.
05Logseq DB-mode Support: Read and write class properties on Logseq DB-mode graphs.
stashbase01Extracts searchable text from various formats including PDFs, DOCX, images (OCR), audio, and video (transcription).
02Semantic search capabilities to find relevant context by meaning, supported by an AI Index.
03Connects and shares searchable context across Claude, Codex, and other MCP clients and built-in agents.
04Maintains local files as the source of truth, with indexes and derived data stored separately.
04
Use Cases
mcp-logseq↳Intelligent Knowledge Management: Analyze project notes, create status summaries, and generate study roadmaps.
↳Automated Content Creation: Create new pages for meeting notes or update existing project timelines.
↳Smart Research & Analysis: Compare notes on different topics, summarize themes, and create knowledge maps.
↳Semantic Search: Find notes by meaning across different languages, even without using exact keywords.
↳Meeting & Documentation Workflow: Transform meeting notes into task pages or summarize journal entries into review pages.
stashbase↳Providing AI agents with searchable access to research papers and contracts stored locally.
↳Enabling chatbots to answer questions based on internal documentation, scanned documents, and recordings.
↳Developers wanting to query project design documents and architecture notes using a built-in AI agent.
↳Organizing and searching personal knowledge bases that primarily consist of diverse local file types.
05
Best For
mcp-logseq—
stashbaseTrending
FAQ
FAQ
What is the difference between mcp-logseq and stashbase?
Both mcp-logseq and stashbase are in the RAG / Knowledge Base category. mcp-logseq has 343 stars, while stashbase has 1.1k stars.
Which is better, mcp-logseq or stashbase?
The best choice depends on your use case. Choose mcp-logseq if Intelligent Knowledge Management: Analyze project notes, create status summaries, and generate study roadmaps., and stashbase if Providing AI agents with searchable access to research papers and contracts stored locally..
Is mcp-logseq free or open source?
Yes, mcp-logseq is open source on GitHub (MIT).
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
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