"Redmine Project Management Software" matching MCP servers:

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.

A focused project memory system that provides knowledge graph capabilities and SQLite database operations for intelligent entity tracking and workflow management. It enables AI models to maintain persistent project context through 17 specialized tools, 10 resources, and 27 pre-built prompts.

Enables task management (create, list, update tasks with priority and status) using SQLite storage via MCP tools.

Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.

Enables task management through natural language: create tasks, list and filter them, and update their status. It uses SQLite for persistence and supports both local stdio and remote SSE transports.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

Enables role-based order management through MCP tools, allowing users to view and refund orders according to their permissions (USER, MANAGER, ADMIN) with audit logging and JWT authentication handled by a FastAPI client.

A collection of MCP servers for database management and Gmail integration, allowing AI agents to perform database queries and email operations.

Enables AI agents to safely interact with Supabase through read-only and gated-write tools, with bounded queries, allowlists, and explicit project targeting.

Enables project and task management through a lightweight SQLite database, allowing users to create projects, add categorized tasks, track status changes, and get project statistics through natural language commands.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta

This read-only MCP Server allows you to connect to Microsoft Project data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A Model Context Protocol server demonstrating user management capabilities with tools for creating, retrieving, and generating random user data.

A graph-friendly relational server that stores project memory, tasks, and metadata in a centralized SQLite database as the authoritative source of truth. It enables AI agents to manage complex project states through entity-relationship modeling and can generate human-readable markdown views on demand.

MCP server offering tools to add numbers and fetch GitHub repos, a resource for apartment rules, and a prompt to explain SQL queries.

Enables managing employee records by providing tools to list directories, retrieve detailed profiles, and search for staff by department. It integrates with Claude Desktop to allow users to interact with employee data through natural language commands.

MCP tools for managing your self-hosted Supabase instance. Combines Edge Function CRUD, migration management, log monitoring, and Studio MCP proxy into a single endpoint.

A comprehensive system that helps organizations track, manage, and respond to security vulnerabilities effectively through features like vulnerability tracking, user management, support tickets, API key management, and SSL certificate management.

Enables natural language queries over employee and project data by exposing database-backed business tools to a Gemini agent, allowing the agent to fetch live details from PostgreSQL and answer with readable responses.

Enables AI-compatible MCP clients to create, retrieve, update, and delete user records through five MCP tools, plus a guide resource and a prompt that auto-generates and saves random users. User data is validated with Zod and persisted in a JSON file behind a Streamable HTTP endpoint.