"Managing an Appwrite Project" matching MCP servers:

A Model Context Protocol server that allows AI assistants to interact with Appwrite's API, providing tools to manage databases, users, functions, teams, and other resources within Appwrite projects.

Enables MCP clients to interact with a Mudbase project by listing and querying collections, reading and writing documents, searching across the project, and managing files in storage.

MCP server for managing Duplicati backups from an LLM.

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

Enables executing SQL queries, managing databases, and switching between multiple project environments via MCP, without requiring a local MySQL client.

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.

Easily query and mutate Postgres data using MCP. This is an open source project.

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 Zoho Projects (beta): https://www.cdata.com/download/download.aspx?sku=PZZK-V&type=beta

A Model Context Protocol (MCP) server for developing Django applications. It exposes Django project information through MCP tools, enabling AI assistants to better understand and interact with Django codebases.

Enables AI agents to fully automate Appwrite backend operations with 143 tools covering databases, users, storage, functions, messaging, and more. Supports advanced features like GeoJSON attributes, file uploads, function deployment, and bulk operations.

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 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 AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

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/).

An MCP-compatible server providing tools for retrieving order statuses, searching knowledge bases, and managing support tickets. It facilitates automated customer service interactions by exposing internal CRM and database functions through a JSON-RPC interface.

An MCP server for interacting with an HR database, enabling querying employee data and HR operations via natural language.

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

A production-grade MCP server that centralizes AI integrations for Appwrite, Supabase, and MySQL databases. It also enables triggering n8n workflows via webhooks and performing generic REST API calls with built-in retry logic.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.