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AWS MCP Servers

A suite of MCP servers providing AI applications with access to AWS documentation, contextual guidance, and best practices.

Deephaven MCP

MCP servers for Deephaven to orchestrate data workers and power documentation Q&A with LLMs, enabling AI-driven data workflows.

Confluence

Integrates with Atlassian Confluence to enable direct querying and retrieval of wiki content using CQL (Confluence Query Language) for seamless documentation…

Docmost

An open-source collaborative wiki and documentation software with AI integration via MCP.

Duck Framework

The official Duck Framework MCP server provides AI assistants with rich, project-aware context for building applications using Duck Framework. It offers…

Gpu Bridge Mcp Server

Access 47 AI models and 30 services via MCP. LLM, image gen, video, speech, embeddings, reranking, PDF parsing & more. Pay-per-use with x402 (USDC) or API key.

Next.js API Scanner

Scans Next.js project directories to extract API route information, validation schemas, and type definitions for automated documentation and testing workflows

AWS CLI

Provides a lightweight bridge to AWS CLI, enabling command documentation retrieval and execution with Unix pipe support using existing AWS credentials on the…

Context Generator

PHP-based tool for generating structured documentation from files, repositories, diffs, and URLs through a modular architecture with powerful configuration…

MCP JinaAI Reader Server

Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.

Swagger Explorer

Analyzes and interacts with Swagger/OpenAPI specifications to enable dynamic API exploration, endpoint filtering, and schema validation for developers working…

Kibela

Integrates with Kibela knowledge bases to enable searching, reading, creating, and updating notes directly within conversation interfaces, providing seamless…

Code Analysis

Integrates code analysis using a Neo4j graph database to enable structural insights, quality metrics, and natural language querying of codebases.

Kibela

Integrates with Kibela API to enable searching, retrieving, and accessing collaborative documentation for knowledge management and AI-assisted workflows.

QDrant RagDocs

Integrates Retrieval-Augmented Generation using Qdrant vector database and embeddings to enable semantic search and management of documentation.