Appwrite MCP server

Created By
christyjacob4a year ago
MCP to connect LLMs to Appwrite
Overview

What is Appwrite MCP Server?

Appwrite MCP Server is a Model Context Protocol server designed to connect Large Language Models (LLMs) to Appwrite's API, facilitating the management of databases, users, functions, teams, and more within Appwrite projects.

How to use Appwrite MCP Server?

To use the Appwrite MCP Server, you can either run it directly using the uv tool or install it via pip. After installation, configure it with your project ID and API key to start managing your Appwrite project.

Key features of Appwrite MCP Server?

  • Integration with Appwrite's API for seamless management of various components.
  • Support for databases, users, and teams management.
  • Easy installation and configuration options.

Use cases of Appwrite MCP Server?

  1. Managing user accounts and permissions in Appwrite.
  2. Handling database operations for applications built on Appwrite.
  3. Integrating LLMs for enhanced functionality in Appwrite projects.

FAQ from Appwrite MCP Server?

  • What programming language is Appwrite MCP Server built with?

Appwrite MCP Server is built using Python.

  • Is there a license for using Appwrite MCP Server?

Yes, it is licensed under the MIT License, allowing free use, modification, and distribution.

  • How can I debug the Appwrite MCP Server?

You can use the MCP inspector tool to debug the server.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
christyjacob4
Star
1
Language
Python
License
MIT license

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

2 days ago
Orkestr

a day ago
Numox

13 hours ago
Docwand

2 days ago