"Integrating Confluence with AI Features like Search and Summarization" matching MCP servers:

Bridges Confluence Wiki with Large Language Models, allowing them to search, read, and explore content through automated HTML-to-Markdown conversion. It supports both local stdio and containerized HTTP/SSE transport modes for flexible deployment.

Enables Claude to plan trips by performing live searches against Google Flights, hotels, vacation rentals, activities, and events, plus weather and currency conversion.

Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.

Local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.

Enables comprehensive threat analysis for Indicators of Compromise (IoCs) including IP addresses, file hashes, domains, and URLs. It provides detailed reputation scores, security vendor evaluations, and network metadata to facilitate security assessments and risk detection.

A calculator-focused MCP server template with tools, resources, and prompts built on NitroStack.

Enables AI-driven financial analysis including portfolio analysis, risk assessment, investment simulation, market intelligence, and report generation via NitroStudio.

Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.

A Python MCP server that allows programmatic interaction to find torrents programmatically on YggTorrent and La Cale.

A comprehensive MCP server for Jira, Confluence, and Bitbucket that supports both Cloud and Data Center deployments. It provides 136 tools for managing issues, searching documentation, and handling Git workflows like pull requests and pipelines.

Provides calculator tools, resources, and prompts for basic arithmetic operations via NitroStack.

An MCP server that transforms standard LLMs into autonomous investment bankers, enabling live market data retrieval, fundamental ratio calculations, DCF valuations, portfolio diversification assessment, and automated emailing of executive reports.

An MCP server for integrating with Atlassian products including Confluence, Jira, Bitbucket, and Xray for Jira, enabling AI-powered operations like searching, creating, and updating issues, pages, and test results.

AI-powered Hospital Operations MCP server that enables seamless interaction with hospital databases, automated alerts, appointment scheduling, and maintenance management via Jira.

A minimal MCP server template for learning NitroStack fundamentals, featuring a calculator module with tools, resources, and prompts.

MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.

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 AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.

Generates printable 3D CAD models (e.g., bottle caps) from photos by combining client-side dimension extraction with CadQuery precision modeling, mesh repair, and optional AI-based visual mesh generation via Meshy.

An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.