A
license-
qualityD
maintenanceEnables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.
13
45
Apache 2.0
74,844 servers. Updated
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"Finding tasks for large language model agents" matching MCP servers:
- Flicense-qualityDmaintenanceSummarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.
- Flicense-qualityBmaintenanceA local-first Codex plugin that bundles an MCP server to safely interact with Mattermost, enabling channel/thread summarization, conversation search, and reviewed post publishing via the Mattermost REST API.
- AlicenseAqualityDmaintenanceEnables fetching, searching, and summarizing YouTube video transcripts with multi-language support.4MIT
- Flicense-qualityAmaintenanceEnables Claude to read, rewrite, generate, and summarize LibreOffice Writer documents with preview-then-apply editing through MCP tools, authenticating via Claude Code login.
- AlicenseAqualityAmaintenanceModel Context Protocol server exposing the bankstatementparser library as first-class agent tools for reading bank statements.51Apache 2.0
- AlicenseAqualityBmaintenancetooltrim reduces the tokens agents spend re-reading bloated tool results. Run it as an MCP server exposing compress and expand_tool_output, or as a gateway in front of any upstream MCP server: it re-exposes the upstream tools unchanged and shrinks each result (HTML/JSON/logs/tables) before it reaches the model, keeping the relevant content only.22MIT
- AlicenseAqualityAmaintenanceDelegates mechanical text-to-text tasks to a local LLM to save Claude subscription quota, reading files server-side so large content never enters Claude's context.115MIT
- AlicenseAqualityDmaintenanceA FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.432MIT
- AlicenseAqualityDmaintenanceMCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language Models (LLMs) processing extensive documents. It provides a FastMCP server with multiple, powerful strategies for an LLM agent to 'read' and query long documents without needing to load the entire text into its context window.55MIT
- FlicenseAqualityBmaintenanceRoutes commodity NLP tasks like summarization and translation to free-tier LLMs, saving Claude tokens for complex work.12
- AlicenseAqualityAmaintenanceEnables AI agents to read and analyze PDF documents for natural language Q\&A. Supports multiple LLM providers including Google Gemini, Anthropic Claude, and OpenAI.1244Apache 2.0
- FlicenseAqualityCmaintenanceLocal MCP server that enables delegating low-risk tasks like summarization or code patches to a low-cost model, with the main agent reviewing results.2
- AlicenseAqualityFmaintenancePrecise character-level string indexing for LLMs. Provides tools for finding, extracting, and manipulating text by exact character position to solve position-based operations.123MIT
- AlicenseAqualityCmaintenancedistill-mcp-v2 is a high-performance, network-dependency-free Python FastMCP server designed to aggressively optimize Large Language Model (LLM) context windows. It provides specialized tools for compressing and analyzing massive AI-agent payloads without losing critical semantic information.8MIT
- FlicenseAqualityDmaintenanceTransforms chat conversations with AI into structured markdown summaries and automatically saves them to organized files in your notes directory. Supports different summary styles, handles large conversations through chunking, and provides tools to manage your saved summaries.24
- FlicenseAqualityFmaintenanceProvides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.102
- AlicenseBqualityDmaintenanceA Node.js implementation of the Kagi Model Context Protocol server that enables Claude AI to search the web and summarize documents, videos, and audio using Kagi's APIs.213MIT
- AlicenseBqualityBmaintenanceAn MCP server that turns your machine or LAN of ollama nodes into a local token generator, enabling coding agents to delegate bounded processing tasks to local models and save cloud credits.51MIT
- AlicenseBqualityDmaintenanceAn MCP server designed to fetch transcripts for YouTube videos. It enables AI tools to access video text content for tasks like summarization, analysis, and key takeaway extraction.173MIT