A tool for summarising multiple PDF documents

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A tool for summarising multiple PDF documents

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Why this server?
Provides RAG (Retrieval-Augmented Generation) capabilities for semantic document search, which is useful for summarising a collection of PDF documents. It uses Qdrant vector database and Ollama/OpenAI embeddings.
RagDocs MCP Server
heltonteixeira
-
security
A
license
-
quality
Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
5
4
TypeScript
Apache 2.0
Why this server?
Enables integration with Google Drive for listing, reading, and searching over files, supporting PDF file types with automatic export.
Google Drive MCP Server
felores
Verified
-
security
A
license
-
quality
Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
1,327
9
JavaScript
MIT License
Why this server?
Enables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts which can be used on summarised PDF documents
Fireflies MCP Server
Props-Labs
A
security
F
license
A
quality
Enables access to Fireflies.ai API for retrieving, searching, and summarizing meeting transcripts with various filtering options and formats.
4
JavaScript
Why this server?
Allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol. This can be used to access PDF document source code.
MCP GitHub Repository Server
loglmhq
-
security
A
license
-
quality
A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol.
3
JavaScript
MIT License
Why this server?
Enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities, useful for processing PDF documents.
MCP File Context Server
bsmi021
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security
A
license
-
quality
A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
5
JavaScript
MIT License
Why this server?
Provides document processing capabilities, allowing conversion of documents to markdown, extraction of tables, and processing of document images, which could help summarise PDFs.
MCP Docling Server
zanetworker
-
security
A
license
-
quality
A server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.
6
Python
MIT License
Why this server?
A server that allows fetching web page content using Playwright headless browser with AI-powered capabilities for efficient information extraction from PDF documents.
Fetcher MCP
everford
Verified
A
security
A
license
A
quality
A server that allows fetching web page content using Playwright headless browser with AI-powered capabilities for efficient information extraction.
2
926
2
TypeScript
MIT License
Why this server?
A Model Context Protocol server for web research that can help to provide a summary of PDF documents
MCP Web Research Server
mzxrai
A
security
A
license
A
quality
A Model Context Protocol (MCP) server for web research. Bring real-time info into Claude and easily research any topic.
3
854
189
JavaScript
MIT License
Why this server?
A minimal server that provides Claude AI with secure file system access and sequential thinking capabilities, allowing Claude to navigate directories, read files, and break down complex problems into structured thinking steps. Useful to load and understand the context of multiple PDF Documents.
LPS MCP
lpsDevelopers
Verified
-
security
A
license
-
quality
A minimal server that provides Claude AI with secure file system access and sequential thinking capabilities, allowing Claude to navigate directories, read files, and break down complex problems into structured thinking steps.
1
Python
MIT License