Appwrite MCP Server

Instructions

Implementation Reference

• src/mcp_server_appwrite/server.py:71-71 (registration)

  Explicit registration of the TablesDB service with name 'tables_db' (via --tables-db CLI flag). This service dynamically generates MCP tools prefixed with 'tables_db_', including 'tables_db_list_columns' from the underlying TablesDB.list_columns method.

  tools_manager.register_service(Service(TablesDB(client), "tables_db"))

• src/mcp_server_appwrite/server.py:91-94 (registration)

  Default registration of the TablesDB service with name 'tables_db' if no CLI flags for other services are provided.

  # If no services were specified, enable tables_db by default
  if not any([args.databases, args.tables_db, args.users, args.teams, args.storage,
              args.functions, args.messaging, args.locale, args.avatars, args.sites]):
      tools_manager.register_service(Service(TablesDB(client), "tables_db"))

• src/mcp_server_appwrite/server.py:103-122 (handler)

  The MCP server tool execution handler. For 'tables_db_list_columns', it retrieves the bound TablesDB.list_columns method from the registry and invokes it with the provided arguments, handling Appwrite-specific exceptions and formatting the result as text content.

  @server.call_tool()
  async def handle_call_tool(
      name: str, arguments: dict | None
  ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
      
      try:
          tool_info = tools_manager.get_tool(name)
          if not tool_info:
              raise McpError(f"Tool {name} not found")
          
          bound_method = tool_info["function"]
          result = bound_method(**(arguments or {}))
          if hasattr(result, 'to_dict'):
              result_dict = result.to_dict()
              return [types.TextContent(type="text", text=str(result_dict))]
          return [types.TextContent(type="text", text=str(result))]
      except AppwriteException as e:
          return [types.TextContent(type="text", text=f"Appwrite Error: {str(e)}")]
      except Exception as e:
          return [types.TextContent(type="text", text=f"Error: {str(e)}")]

• src/mcp_server_appwrite/service.py:73-127 (schema)

  Dynamic tool schema and definition generation for service methods. For TablesDB.list_columns, it inspects the method signature/type hints/docstring to build the JSON schema inputSchema, sets name to 'tables_db_list_columns', and stores the bound function for execution.

  def list_tools(self) -> Dict[str, Dict]:
      """Lists all available tools for this service"""
      tools = {}
  
      for name, func in inspect.getmembers(self.service, predicate=inspect.ismethod):
          if name.startswith('_'): # Skip private methods
              continue
  
          original_func = func.__func__
          
          # Skip if not from the service's module
          if original_func.__module__ != self.service.__class__.__module__:
              continue
  
          # Get the overridden name if it exists
          tool_name = self._method_name_overrides.get(name, f"{self.service_name}_{name}")
  
          docstring = parse(original_func.__doc__)
          signature = inspect.signature(original_func)
          type_hints = get_type_hints(original_func)
  
          properties = {}
          required = []
  
          for param_name, param in signature.parameters.items():
              if param_name == 'self':
                  continue
  
              param_type = type_hints.get(param_name, str)
              properties[param_name] = self.python_type_to_json_schema(param_type)
              properties[param_name]["description"] = f"Parameter '{param_name}'"
              
              for doc_param in docstring.params:
                  if doc_param.arg_name == param_name:
                      properties[param_name]["description"] = doc_param.description
  
              if param.default is param.empty:
                  required.append(param_name)
  
          tool_definition = Tool(
              name=tool_name,
              description=f"{docstring.short_description or "No description available"}",
              inputSchema={
                  "type": "object",
                  "properties": properties,
                  "required": required
              }
          )
          
          tools[tool_name] = {
              "definition": tool_definition,
              "function": func
          }
          
      return tools