Document Processing MCP Repositories

Access the esa.io API through the Model Context Protocol (MCP), enabling search, creation, updating, and deletion of articles on esa.io.

Manage and edit text files through a standardized API with features for syntax checking, file management, and a two-step editing process to enhance data integrity. Supports operations on Python and JavaScript/React files for reading, locating functions, and editing with a diff preview.

Download webpages and convert their content into markdown files. Features include a configurable download directory and automatic date-stamped filenames for organized storage.

Fetches up-to-date, version-specific code documentation and examples to enhance LLM prompts, reducing outdated code and hallucinated APIs. Integrates real-time library documentation into coding workflows for improved accuracy and productivity.

Manipulate Google Spreadsheets and Drive to create, copy, and manage files, allowing for efficient integration of document operations within applications.

Validates code, generates templates, and scaffolds projects that conform to best practices within Payload CMS development. Aims to streamline workflow and enhance application quality with specialized tools.

Converts various file formats to Markdown, facilitating integration with LLM applications and enabling text analysis pipelines while preserving document structure. Includes features for audio transcription and document intelligence to enhance data processing capabilities.

Showcase and highlight professional qualifications and achievements through a structured resume format. Allows users to effectively communicate their experiences to potential employers.

Minima is an open source RAG server that operates on-premises, allowing integration with ChatGPT and MCP. It provides secure local storage and processing of data while supporting querying of local documents through customizable GPT interfaces.

Manage and query a custom knowledge base by registering document sources, querying information, and aggregating results from multiple webhook endpoints. Simplifies knowledge management and enhances querying capabilities.

Integrates LLM applications with specific documentation sources, enabling access and retrieval of documentation files to enhance knowledge and responses. Provides tools for fetching documentation from specified URLs within those files.

Manage contracts and templates by drafting, querying, withdrawing, and deleting contracts efficiently.

An intelligent coding assistant that supports multiple AI models for code generation, modifications, and technical discussions. It can handle various file types for text extraction and data parsing to facilitate development tasks.

Processes images and PDFs using advanced OCR capabilities from Mistral AI, converting them into structured JSON outputs. It supports local files and files from URLs, handling multiple image formats.

Combine multiple files into a single file efficiently, providing detailed reports on file sizes and merge summaries. Access is restricted to user-defined directories for security.

Lists all available MCP services configured in Claude Desktop, providing easy access for reference and copying. Keeps the list dynamically updated and accessible from the tools menu for quick selection.

Analyze datasets, generate research papers, and automate email delivery using advanced AI capabilities. Provides detailed data analysis, insights, and reporting directly from data files.

Performs advanced analysis and visualization of CSV data using Gemini AI, enabling comprehensive data exploration and insights generation. Offers both basic and detailed analysis modes, including statistical evaluation, data quality assessment, correlation analysis, and pattern recognition.

Read and write Microsoft Word (docx) files with capabilities to edit paragraphs and insert new text. Access complete document content, including tables and images, through a command-line interface.

Integrates Azure AI services with Claude Desktop for enhanced search capabilities, enabling intelligent searches across indexed documents and the web while providing source citations. Offers two implementations: one that utilizes the Azure AI Agent Service for document and web searches, and another for direct access to Azure AI Search.

Manipulate Excel files without requiring Microsoft Excel. Create, modify, and format workbooks while utilizing advanced features like charts and pivot tables.

Manage Zoom meeting transcripts by listing, downloading, and searching through them with a structured interface. Organize transcripts by month for streamlined access to discussions.

Bridge WeChat reading data with AI for access to notes and reading insights. Extract and analyze reading notes through intelligent conversations.

Invokes the task chain of the iFlytek SparkAgent Platform through an MCP server interface, allowing users to upload files and interact with platform capabilities. Enables integration with AI models for automated workflows and task execution.

Enables the construction and querying of real-time, temporally-aware knowledge graphs, managing entities, relationships, and episodes. Facilitates semantic and hybrid searches to enhance memory and reasoning in AI agents.

Export and permanently save WeChat chat records, allowing users to view messages such as images, videos, and files even if WeChat no longer supports them.

Enables editing and deployment of applications through a web interface and local development environment, while synchronizing changes and facilitating project management with custom domain connections.

Integrates the classic DOOM game into PDF documents, enabling interactive gameplay within static files via PDF's JavaScript capabilities. This project transforms traditional document formats into innovative gaming platforms while maintaining the essence of classic gaming.

Integrates a local Zotero library with Claude Desktop, enabling direct read access to bibliographic data through a local web API in Zotero 7.

Retrieve and process documentation through vector search, enabling AI models to integrate relevant context into their responses. Supports multiple sources and offers semantic search capabilities for enhanced information retrieval.