"Enterprise-level Confluence search page supporting version 9.4.11" matching MCP servers:

Enables AI assistants to search, retrieve, and manage Confluence pages, and generate weekly status drafts from Jira activity.

Enables AI assistants to interact with Atlassian Confluence Cloud by providing tools to create, update, search, and delete pages. It facilitates seamless content management within Confluence spaces using Markdown and the Confluence REST API.

Enables MCP clients to search, read, and modify self-hosted Jira and Confluence Server/Data Center content through per-user authenticated REST API tools, including issues, pages, comments, workflows, boards, sprints, and custom endpoints.

jira, wiki mcp

A production-ready Model Context Protocol server that integrates with ServiceNow for enterprise workflows and provides comprehensive health monitoring capabilities.

This MCP server provides unified read/write access to Jira Cloud tickets and Confluence Cloud pages, enabling search, retrieval, and updates. It automatically downloads log attachments from tickets into a shared directory for the companion Log Intelligence MCP to ingest.

A Model Context Protocol server for Atlassian Jira and Confluence that bypasses corporate proxies and self-signed certificates, enabling read/write operations on issues, projects, pages, and spaces using Personal Access Tokens.

A Model Context Protocol (MCP) server that connects AI assistants to Jira and Confluence, enabling search, create, update, and comment operations with rich Markdown-to-ADF conversion.

Enables interaction with Jira and Confluence APIs to search, create, and manage issues, pages, comments, and attachments across both Atlassian platforms.

Small MCP server for connecting to enterprise Jira using a personal access token. It enables issue operations, project listing, JQL searches, and attachment handling.

A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.

MCP server exposing ServiceNow, Jira, and PagerDuty as unified tools for AI agents, enabling incident management, issue tracking, and on-call operations.

A Model Context Protocol server that enables users to kickoff and monitor deployed CrewAI workflows through Claude Desktop.

Enables AI agents and IDE copilots to reach Jira, Neo4j, Teradata, and a business rule engine through one governed, multi-tenant endpoint that applies authentication, role-based tool authorization, guardrail checks, layered rate limiting, audit logging, and envelope encryption. It also exposes a live Neo4j graph schema resource and a Cypher-composition guidance prompt so clients can discover and query connected data safely.

A governed AI agent platform that exposes GitHub Issues, Jira, and Slack as MCP servers, with mandatory human-in-the-loop approval for all write operations and full audit logging to PostgreSQL using PGVector semantic search.

Enables AI assistants to interact with Jira and Confluence via natural language, supporting 37 Jira tools and 16 Confluence tools.

Enables search and management of Azure DevOps work items and wiki pages via MCP, wrapping the ado-search CLI.

Enables an MCP-capable coding agent to run a local-first job search: recording verified opportunities in a private SQLite tracker, tracking follow-ups and outcomes, and preparing evidence-based resumes, application answers, and outreach drafts. It keeps all personal data on the user's machine and stops before submitting applications, uploading documents, or contacting anyone.

Enables analysis of multi-speaker meeting transcripts from Tencent Meeting, Zoom, and Teams to extract explicit commitments, dates, and assignees. It prioritizes tasks with an Eisenhower urgency-importance matrix and formats collaborative task cards for WeChat Work dispatch.

AI-native project management server for coding agents, offering 60 tools for tasks, releases, epics, cycles, docs, and ideas with caching and agent memory.

An MCP server bridging AI agents with enterprise productivity suites, enabling Jira automation, Microsoft Graph integration, and web research via Tavily.

Provides sprint and developer analytics from Jira, answering questions about sprint content, developer performance, and refinement readiness. Can publish reports to Confluence for easy sharing.

Provides MCP tools to search, create, update, and comment on Jira issues, and to search, create, update, and list Confluence pages and spaces via REST API, including linking Jira issues to relevant Confluence documentation.

Enables MCP-compatible AI assistants to manage WeTrack/VTrack projects, tickets, sprints, users, reports, notifications, and more through natural language tool calls.

Enables AI assistants to search company job boards, filter roles by location, remote status, posting date, and H-1B sponsorship history, track applications through status changes, and check employers' USCIS sponsorship records.

Enables GitHub Copilot in VS Code to connect to Confluence and Jira Data Center using Personal Access Token authentication without Docker, supporting natural-language access to those instances.

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

A self-hosted MCP server that exposes Jira and Confluence Cloud to MCP clients, enabling issue tracking, search, creation, and Confluence page management via natural language.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

An MCP server that enables AI agents to run allowlisted fleet SQL analytics, search synthetic policies, and submit ticket proposals for separate human approval, with role-based access, audit trails, and rate limits.