"Collaboration and Documentation Platform by Atlassian" matching MCP servers:

In-memory MCP server for cooperative collaboration between separate agents, enabling topic-based messaging and coordination via tools like create_topic, join_topic, send_message, read_messages, and check_in.

Enables full-text search and paginated retrieval of indexed documentation (PDFs, Markdown, text) through MCP tools, with filtering by category and file.

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.

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments.

Enables AI assistants to interact with Atlassian products (Confluence and Jira) through natural language, supporting both Cloud and Server/Data Center deployments. Allows searching, creating, and managing content across Jira issues and Confluence pages with flexible authentication options.

Model Context Protocol server that integrates with Atlassian Confluence and Jira, enabling AI assistants to search, create, and update content in these platforms through natural language interactions.

Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.

Integration server that connects AI assistants to Atlassian products (Confluence & Jira), enabling natural language interactions for searching content, managing issues, creating documents, and updating project information.

MCP server for Atlassian Confluence and Jira, enabling AI assistants to search, create, and update issues and pages via natural language.

Enables interaction with Atlassian Confluence and Jira through natural language, allowing users to search, create, update, and transition issues and pages.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Enables Claude and Claude Code to interact with Atlassian Cloud (Confluence and Jira) through natural language, supporting full CRUD operations, search, comments, and attachments.

MCP server for Atlassian products (Confluence, Jira, Bitbucket, and Xray for Jira) supporting Cloud and Server/Data Center deployments.

Automatically analyzes Python codebases and generates professional documentation including README, API docs, and setup guides.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.

A Model Context Protocol server for downloading Jira Cloud attachments by attachment ID to local disk. Supplements the official Atlassian MCP server which lacks attachment download functionality.

Provides full-text search and retrieval tools for Apache Spark documentation using SQLite FTS5 with BM25 ranking. It enables AI assistants to efficiently search, filter by section, and read specific Spark documentation pages.

MCP server for Atlassian products (Confluence and Jira) that enables AI assistants to search, create, update, and manage issues and pages through natural language.

An open-source Model Context Protocol (MCP) server for Atlassian Jira and Confluence Cloud, enabling LLMs to search, read, write, and manage issues and pages.

Browser-backed MCP wrapper for mcp-atlassian with Playwright SSO auth. Enables AI tools to access Atlassian Server/Data Center instances behind corporate SSO (Okta, SAML, ADFS) where API tokens are not available

A Model Context Protocol server for Atlassian Jira and Confluence that supports both Cloud and On-Prem/Data Center deployments. It enables AI assistants to search, create, and manage issues and pages using secure authentication methods like PAT and OAuth.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Enables an Open WebUI model to search, read, create and edit Jira issues, sprints, links, worklogs and Confluence pages and comments on Server / Data Center. Every request runs under the chatting user's own personal access token, with no shared service account, so Jira and Confluence permissions and audit history stay those of the individual.

Enables Claude Code and other MCP clients to run live JQL and CQL searches and read Jira Cloud issues, comments, and Confluence Cloud pages on your own machine, with no local index and nothing cached outside those products. Access is read-only and scoped to your own Atlassian account permissions.

An MCP server that integrates with Jira and Confluence to enable AI-powered issue management, content search, and document creation. It supports both Cloud and on-premise deployments, allowing users to automate workspace tasks through natural language.

Enables AI agents to interact with collaborative Jupyter notebooks and documents in real-time, supporting notebook operations, document editing, user awareness tracking, and session management through Jupyter's RTC capabilities.

MCP server for Atlassian Cloud (Confluence & Jira) with seamless OAuth 2.0 authentication. Enables AI agents to document work in Confluence, manage Jira issues, and understand project context.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Enables AI assistants to create, search, update, and manage Jira issues and Confluence pages via natural language through the Atlassian Cloud REST APIs.

Enables running a local multi-agent pipeline that turns a product idea into a validated technical spec, with tools to generate, deterministically check, LLM-review, and retrieve stored runs.

A read-only MCP server that enables querying and searching Atlassian Confluence pages and Jira issues through their REST APIs. Supports retrieving content by ID or URL, searching using CQL/JQL, and listing spaces and projects.

Connects Claude to Jira and Confluence, enabling natural language research, design with Mermaid diagrams, documentation writing, and ticket creation without needing an Anthropic API key.

MCP server for Atlassian Confluence and Jira, supporting both Cloud and Server/Data Center deployments with tools for searching, creating, and updating issues and pages.

An internal MCP server providing Database (SQL execution) and Server (Linux SSH/SFTP) skills with 11 tools, enabling remote execution, risk control, and full audit via Claude Code or other clients.

Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.