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Enables efficient AI workflow orchestration by chaining multi-step LLM operations while keeping intermediate results out of the context window, reducing token usage by 90%+ and supporting multiple AI providers.

Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. Self-hosted. 100% on LoCoMo benchmark.

Enables AI assistants to analyze and inspect RenderDoc capture files, providing tools to examine draw calls, textures, buffers, and shader information. It allows developers to perform graphics debugging and resource analysis through natural language interactions.

Enables AI agents to generate images from HTML/CSS, capture URL screenshots, and manage reusable templates through the RendShot API. Provides tools for rendering visual content programmatically within AI workflows.

Formats AI agent outputs into professional reports, emails, and documents with branding, quality validation, and executive summaries for enterprise AI operations.

Enables autonomous agents to discover and bid on unused LLM token quota through a machine-to-machine secondary exchange protocol. It utilizes a Proof-of-Residue handshake to verify compute capacity and facilitate the real-time acquisition of verified residue tokens.

全面解析Rest To MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Rest To MCP能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables AI assistants to intelligently fetch, parse, search, and rank resumes from email attachments. Supports multi-format resume parsing (PDF, DOC, DOCX), multi-dimensional searching by keywords, position, skills, and experience, with statistical analysis capabilities.

A Model Context Protocol server that helps users migrate subscription businesses from RevenueCat to Adapty through natural language interactions with LLMs like Claude Desktop.

Connecting to the ReviewMetric, 15-AI agent scientific peer review pipeline

MCP server for Autodesk Revit (BIM) with 705+ API endpoints. Enables AI agents to create walls, place doors/windows, generate sheets, manage views, and produce construction documents via the Model Context Protocol. Uses named pipes for zero-crash Revit integration.

Allows AI assistants to interact with Autodesk Revit through the MCP protocol, enabling the AI to create, modify, and delete elements in Revit projects.

A basic implementation of a Model Context Protocol server that demonstrates core functionality with simple math tools (add, subtract) and greeting resources for AI assistants like Claude.

An MCP server for integrating with the Rezdy Agent API to manage travel marketplace products and bookings. It enables travel agents to search availability, process payments, and manage customer relationships using natural language.

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公开目录未提供摘要。

Discover and evaluate APIs for AI agents with AN Score, then access them through MCP or REST with zero-signup discovery and managed execution paths.

An HTTP-based Model Context Protocol server for RiotPlan that exposes comprehensive planning tools, resources, and prompts for AI agents. It enables full plan lifecycle management, including ideation, shaping, execution tracking, and retrospective generation.

Extract YouTube transcripts for AI agents, RAG pipelines, and LLM workflows. Supports any YouTube URL. Returns clean text or timestamped segments. No API keys required.

A Model Context Protocol server that helps users create, validate, and optimize AI prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).

Enables AI assistants to interact directly with Roblox Studio to explore project hierarchies, edit scripts, and perform bulk object manipulations through over 37 specialized tools. This enhanced fork features long polling for near-instant responses and improved support for script editing and attribute management.