"研发工作中最常用的10个MCP服务推荐" matching MCP servers:

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

Provides MCP tools to fetch, filter, curate, and summarize high-quality content from X (Twitter), reducing noise and focusing on high-signal posts, threads, and accounts.

K-Mail-MCP is an MCP server that connects 6 mail services — Naver, Daum/Kakao, Gmail, Nate, Yahoo, and iCloud — to Claude AI. It enables AI-powered email summarization, translation, spam detection, and unified inbox management — all with AES-256-GCM encrypted credentials.

Provides basic text manipulation and analysis tools including word reversal and character counting. Designed for integration with Le Chat and other MCP-compatible clients.

Provides clean, bounded web content to AI by filtering HTML noise and optionally summarizing, preventing context window overflow.

A Model Context Protocol server that provides tools for analyzing text documents, including counting words and characters. This server helps LLMs perform text analysis tasks by exposing simple document statistics functionality.

A Model Context Protocol server that analyzes YouTube videos, enabling users to extract transcripts, generate summaries, and query video content using Gemini AI.

An HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.

Exposes TaskFleet's pay-per-call AI task APIs as MCP tools, including web search, scraping, extraction, translation, code review, summarization, and wallet intelligence. Payments are handled via x402 (USDC on Base) with no accounts or API keys.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Enables LLMs to interact with YouTube videos by fetching transcripts, summarizing content, and answering questions based on video context.

Analyzes unstructured documents in a local folder, extracting structure and key terms, and supports generating summaries via a host LLM with validated, approval-based report saving.

提供免费网络搜索和智能摘要功能的MCP服务器，使用DuckDuckGo API和客户端语言模型生成搜索结果摘要。

Enables fast text classification using Model2Vec static embeddings with 10 default categories (technology, business, health, etc.), supports custom category management, batch processing, and provides both local and remote deployment options.

A production-grade MCP server providing four tools for URL summarization, content repurposing, news digests, and competitor analysis, with cost telemetry and dual transport support.

This MCP server performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries.

A Docker-containerized MCP proxy that provides AI image generation, text generation, vision analysis, and text-to-speech capabilities through REST endpoints using Pollinations AI services. Enables multimodal AI interactions including image creation, transformation, OCR, and audio generation through standard HTTP APIs.

Facilitates note storage and summarization through custom URIs, allowing users to manage, summarize, and update notes with varying detail levels in a collaborative environment.

A Python-based MCP server adapted from the n8n_agent project that implements a note storage and summarization system. It enables users to create, retrieve, and summarize notes through the Model Context Protocol.

Enables arithmetic addition, personalized greetings, version lookup, and text summarization through MCP tools, a resource, and a prompt.