DocSlicer
AI & Memory
Local
Official
Enables vectorless RAG by letting LLM clients like Claude and Cursor parse documents, inspect outlines, and retrieve specific sections with heading breadcrumbs. Supports PDF, Word, HTML, and PowerPoint without LLM calls or heavy ML models.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/g0796w28pg for deploy options, or install from https://github.com/DocSlicer/DocSlicer (see README for MCP config).
2
GitHub
Install from https://github.com/DocSlicer/DocSlicer and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.