"Kingsoft Document Connector" matching MCP servers:

Checks documents against international standards (e.g., ICAO, Hague-Visby) to verify internal consistency and completeness, returning a machine-readable verdict for agent decision-making.

An MCP server that wraps the WellSaid Labs text-to-speech API, enabling Claude to generate lifelike voiceovers with voice selection, prosody control, and caption support directly from text.

A connector that gives Claude direct access to the official text of Swiss federal legislation on Fedlex, covering all acts in the Classified Compilation in German, French, and Italian.

Enables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.

Parses various document formats (PDF, Word, Excel, PowerPoint) into Markdown content using NiuTrans API, enabling extraction and reading of document text through natural language interactions.

MCP server that exposes NocoDB bases, tables, records, and linked records as tools, enabling Claude to read/write NocoDB data. Supports both stdio and HTTP for local and cloud deployments.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

A curated MCP server that connects your Nextcloud (files, calendar, notes, deck, contacts) to AI assistants.

Provides AI agents with comprehensive document parsing capabilities including PDF text extraction, OCR, HTML-to-markdown conversion, table extraction, and summarization, optimized for agent workflows.

Enables interaction with Yandex Tracker through its API for managing tasks, comments, and attachments. It supports issue searching, status transitions, and metadata retrieval for automated project management.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.

Enables exposing third-party data sources as Model Context Protocol servers with shared HTTP, rate limits, retries, caching, validation, and observability through thin per-source adapters.

Enables interaction with Asana projects and tasks via the Asana API, supporting listing projects/tasks, creating/updating tasks, and adding comments, with secure authentication and rate-limit handling.

A sophisticated server that enables AI assistants to automatically analyze codebases and generate comprehensive, professional documentation.

Enables agents to interact with any S3-compatible storage (AWS S3, LocalStack, MinIO) via MCP, providing tools like list, read, write, delete objects and buckets.

MCP server for AI-assisted PDF reading with pagination, search, and page navigation.

This server enables Temporal Workflows and other MCP clients to call tools implemented as Temporal Nexus operations, and to proxy upstream MCP servers so every upstream call runs in a standalone Temporal activity.

This MCP server provides semantic document search and retrieval, enabling AI assistants to search documents, search categories, and retrieve category hierarchies using the Model Context Protocol.

Enables AI agents and users to process documents through natural language, supporting PDF operations like text extraction, redaction, splitting, form filling, annotations, and content search.