"How to Save a DOCX File" matching MCP servers:

Enables clients to access 21 cloud-hosted financial tools via a token-authenticated forwarding layer that relays tool calls to the Silkj E-Investment skill gateway. Supports stdio, Streamable HTTP, and hosted deployment modes without embedding any financial algorithms locally.

提供全球238个国家/地区的进出口贸易数据查询，支持按企业名称、产品关键字、HS编码等多维度联合搜索。

A custom MCP protocol service that enhances AI models by providing multilingual translation capabilities and resource management, allowing for automatic text extraction and translation through external APIs.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Enables coding agents to query the dependency graph of a GitHub backlog, retrieve ordered ready work and prerequisite chains, atomically claim issues, and report blockers—so agents work in the correct order and safely in parallel.

MCP server for hybrid medical consultation integrating Western and Traditional Chinese Medicine, enabling symptom analysis, diagnosis, and treatment suggestions through two specialized models.

An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.

Enables pushing text from an AI conversation to a low-cost BLE e-ink shelf label via an MCP tool, with rich-text markup, card-style letter layouts, and real-time SSE delivery to a phone control page. Also lets clients check current screen content, update time, push history, and whether a phone is online.

Enables automated labor and service contract risk review through MCP, supporting single or batch contract analysis, risk knowledge base queries, and regional regulation lookups.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables MCP clients to securely query databases, list tables, inspect table schemas, and test connections across Oracle, SQL Server, MySQL, PostgreSQL, and SQLite using read-only SQL tools.

A "Virtual DOM" for Microsoft Word enabling AI to safely read, redline, and sanitize DOCX contracts without breaking formatting.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

Generates Word documents for comparison tables and specifications from structured JSON data. Supports both stdio mode for Claude Desktop/Code and HTTP mode for AI frameworks like Dify and LangFlow.

Enables saving and managing files in a sandboxed local folder via MCP, with tools for listing, reading, writing, appending, searching, moving, and deleting files and directories.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida

Provides LLMs with real-time access to up-to-date documentation from PyPI, npm, crates.io, GoDocs, DockerHub, GitHub, and GCP, preventing outdated code generation and API hallucinations.

MCP server to give new instructions to agent while its working. It uses the get_feedback tool to collect your input from the feedback.md file in the workspace, which is sent back to the agent when you save.