"Redmine Project Management Tool" matching MCP servers:

MCP server that provides access to the Redmine REST API, enabling issue tracking, project management, and more through natural language.

An MCP server that connects AI assistants to Redmine, enabling issue and project management via natural language.

Provides AI assistants with progressive code intelligence to explore repository structure, find symbols, and assess the impact of changes using ast-grep.

An MCP server that provides utility tools for text analysis, URL metadata fetching, and temperature conversion.

Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.

Redmine for AI agents (Claude Code, Cursor, Copilot): search and read issues, projects, members, versions, wiki, time entries and reference data; extract text from attachments (PDF, DOCX, XLSX, ZIP); analytics such as release risks, blocker chains and stale issues. 32 read-only tools by default, 7 optional write tools. Java, stdio, Docker image available.

An MCP server connecting OmniFocus to AI assistants, enabling task and project management via natural language.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

MCP server for Plane, the open-source project management tool, exposing a focused set of task and comment management tools for a single Plane project. Includes a setup wizard to bind a local folder to a Plane project and configure Claude Code or Codex.

Provides an MCP interface to the ROBOT command-line tool for OWL ontology editing, enabling operations like merging, reasoning, and conversion via natural language.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

An AI-powered MCP server for personal and group expense management, providing CRUD operations, advanced filtering, analytics, Splitwise-style splitting, budget tracking, and report generation.

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

A comprehensive MCP server providing OpenStack project management and monitoring capabilities with built-in safety controls and single-project scope.

This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.

MCP server that integrates Google Gemini CLI with AI assistants, enabling large file analysis and natural language queries without an API key.

Turns AI assistants into active Technical Project Managers by providing a persistent project brain and workflow tools for onboarding, session management, and code verification.

MCP server for project management automation, providing tools for project health, documentation, task management, security scanning, and CI/CD validation.

A Model Context Protocol server that enables AI assistants to interact with Google Gemini CLI, allowing them to leverage Gemini's large token window for analyzing files and codebases using natural language commands.

Enables access to Semrush Keyword Magic Tool API for SEO keyword research, including keyword overview analysis, finding millions of keyword suggestions, and discovering question-based keywords across different countries and languages.

Enables full-featured editing of Word .docx files through natural language, including merge-aware table operations, bulk cell edits, footnotes/endnotes, TOC management, tracked changes, and document comparison.

Enables creating and editing PowerPoint .pptx files without corruption, with native editable SVG shapes, glued connectors, table surgery, threaded comments, live editing, and a comprehensive 138-tool MCP server surface.

Composes arbitrary MCP tools using JavaScript, enabling discovery, composition, and execution of other MCP servers through a single 'exec' tool.

Turns team chat (Slack, Discord, MS Teams, Mattermost) into a living knowledge base - a typed knowledge graph plus auto-generated wiki - exposed to AI agents through a 28-tool MCP server with semantic search, expert finding, and decision tracing.

A persistent Python REPL MCP server for AI agents with stateful execution, real timeouts, crash isolation, and an MCP bridge to call other tools in the project.

Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.

Provides vision capabilities to text-only LLMs by acting as a cloud vision adapter layer, enabling image understanding and OCR text extraction through a single MCP tool.

Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output