Atlassian Rovo MCP Server

Awesome MCP Servers is a curated collection of Model Context Protocol (MCP) server implementations, maintained as a GitHub repository with a synchronized web directory. It catalogs production-ready and experimental servers that let AI models interact with local and remote resources through standardized interfaces, including file access, databases, API integrations, browser automation, cloud platforms, research services, and other contextual tools. The repository organizes entries by capability, programming language, deployment scope, operating system, and whether an implementation is official.

Reducto MCP Server connects AI agents to Reducto's document-processing APIs through the Model Context Protocol. MCP clients such as Claude Desktop, Claude Code, Codex, Cursor, VS Code, and Windsurf can use it to upload, classify, parse, extract, split, and edit documents, chaining those operations in an agent reasoning loop without custom integration code. It is available as a hosted HTTP server at mcp.reducto.ai/mcp or as a local server run with uvx. The hosted option accepts public URLs, while the local option can read local file paths and public URLs and uses Reducto credentials. The server is described in the accompanying talk as an agent-oriented interface with tools that represent document pipeline work, a snapshot of live pipeline state, confidence scores, and an ask-user mechanism intended to avoid silent guesses.

Model Context Protocol (MCP) is an open, standardized protocol layer for connecting large language models and AI agents with external data sources, hosted infrastructure tools, and other contextual data. It defines formats, metadata, protocol schemas, and APIs for sharing information and tools, attaching, referencing, and validating context such as documents, embeddings, and provenance, while supporting scoped authentication and permissions. MCP translates JSON requests from an agent into calls to service APIs, including CRM, container-management, and GKE capabilities, and can provide design-system context and related tools for generating consistent applications. The official project publishes its specification, documentation, and protocol schema; the schema is defined first in TypeScript and also provided as JSON Schema for broader compatibility. The protocol was created by David Soria Parra and Justin Spahr-Summers, is hosted at modelcontextprotocol.io, and is licensed under the MIT License.

Exa MCP Server is a Model Context Protocol server that connects AI agents to Exa's search API through a hosted endpoint. It provides real-time web search and webpage fetching with clean content and token-efficient, query-dependent highlights, with optional advanced search filters, domains, dates, highlights and subpage crawling. Exa supports search across web, news, company, people, financial, research and code content, along with structured outputs, grounded citations and Exa Agent for multi-step research, enrichment and structured output. Anonymous access is rate-limited, while higher limits and Exa Agent require OAuth or an Exa API key.

An MCP server from Zapier that connects authenticated applications so compatible AI tools can access and use them through a single integration layer. It supports clients including Cursor, Claude Code, and Codex.