upload_document_to_appflowy
Upload AI-generated content to AppFlowy documents with automatic Markdown parsing for titles, lists, code blocks, and formatting.
Instructions
将生成的文本内容上传到 AppFlowy 文档中。
会自动解析 Markdown 语法（标题、列表、代码块、加粗、链接等）。
Args:
title: 文档的标题
content: 文档的正文内容（支持 Markdown）Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | ||
| content | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- appflowy_skill.py:261-307 (handler)The primary handler function for the 'upload_document_to_appflowy' tool. It is decorated with @mcp.tool() for registration, parses Markdown content into AppFlowy-compatible blocks using helper functions, authenticates via token, and posts the document to the AppFlowy API.
@mcp.tool() def upload_document_to_appflowy(title: str, content: str) -> str: """ 将生成的文本内容上传到 AppFlowy 文档中。 会自动解析 Markdown 语法（标题、列表、代码块、加粗、链接等）。 Args: title: 文档的标题 content: 文档的正文内容（支持 Markdown） """ try: workspace_id = get_env_var("APPFLOWY_WORKSPACE_ID") parent_view_id = get_env_var("APPFLOWY_PARENT_VIEW_ID") token = get_auth_token() url = f"{BASE_HOST}/appflowy/api/workspace/{workspace_id}/page-view" children_blocks = parse_markdown_to_blocks(content) page_data = { "type": "page", "children": children_blocks } payload = { "parent_view_id": parent_view_id, "layout": 0, "name": title, "page_data": page_data, "view_id": None, "collab_id": None } headers = { "Authorization": f"Bearer {token}", "Content-Type": "application/json", "User-Agent": "Claude-Skill/1.0" } response = requests.post(url, json=payload, headers=headers) response.raise_for_status() return f"文档 '{title}' 上传成功！包含 {len(children_blocks)} 个内容块。" except Exception as e: return f"上传文档失败: {str(e)}" - appflowy_skill.py:124-259 (helper)Core helper function that parses Markdown content into a list of AppFlowy blocks (headings, lists, code blocks, etc.), integrating rich text parsing for inline styles.
def parse_markdown_to_blocks(content: str) -> list: """ 将 Markdown 文本解析为 AppFlowy 识别的 Block 结构列表 """ blocks = [] lines = content.split('\n') in_code_block = False code_buffer = [] code_lang = "" for line in lines: stripped = line.strip() # --- 处理代码块 (Code Block) --- if stripped.startswith("```"): if in_code_block: full_code = "\n".join(code_buffer) blocks.append({ "type": "code", "data": { "language": code_lang if code_lang else "text", "delta": [{"insert": full_code}] # 代码块内部通常不解析富文本 } }) in_code_block = False code_buffer = [] code_lang = "" else: in_code_block = True code_lang = stripped[3:].strip() continue if in_code_block: code_buffer.append(line) continue # --- 处理分割线 --- if stripped == "---" or stripped == "***": blocks.append({"type": "divider", "data": {}}) continue # --- 处理标题 --- if stripped.startswith("# "): blocks.append({ "type": "heading", "data": { "level": 1, "delta": parse_rich_text(stripped[2:]) # ✅ 使用富文本解析 } }) continue elif stripped.startswith("## "): blocks.append({ "type": "heading", "data": { "level": 2, "delta": parse_rich_text(stripped[3:]) # ✅ 使用富文本解析 } }) continue elif stripped.startswith("### "): blocks.append({ "type": "heading", "data": { "level": 3, "delta": parse_rich_text(stripped[4:]) # ✅ 使用富文本解析 } }) continue # --- 处理列表 --- if stripped.startswith("- [ ] ") or stripped.startswith("- [x] "): is_checked = stripped.startswith("- [x] ") blocks.append({ "type": "todo_list", "data": { "checked": is_checked, "delta": parse_rich_text(stripped[6:]) # ✅ 使用富文本解析 } }) continue if stripped.startswith("- ") or stripped.startswith("* "): blocks.append({ "type": "bulleted_list", "data": { "delta": parse_rich_text(stripped[2:]) # ✅ 使用富文本解析 } }) continue if len(stripped) > 2 and stripped[0].isdigit() and stripped[1] == '.' and stripped[2] == ' ': space_index = stripped.find(" ") blocks.append({ "type": "numbered_list", "data": { "delta": parse_rich_text(stripped[space_index+1:]) # ✅ 使用富文本解析 } }) continue # --- 处理引用 --- if stripped.startswith("> "): blocks.append({ "type": "quote", "data": { "delta": parse_rich_text(stripped[2:]) # ✅ 使用富文本解析 } }) continue # --- 默认段落 --- if not line: # 这里的空行可以忽略，或者插入空的 text blocks.append({"type": "paragraph", "data": {"delta": [{"insert": ""}]}}) else: blocks.append({ "type": "paragraph", "data": { "delta": parse_rich_text(line) # ✅ 使用富文本解析（不strip，保留缩进体验可能更好，或者按需strip） } }) # Flush residual code block if in_code_block and code_buffer: full_code = "\n".join(code_buffer) blocks.append({ "type": "code", "data": { "language": code_lang if code_lang else "text", "delta": [{"insert": full_code}] } }) return blocks - appflowy_skill.py:48-119 (helper)Helper function to parse inline rich text Markdown (bold **, italic *, code `, links [], strikethrough ~~) into AppFlowy Delta format.
def parse_rich_text(text: str) -> list: """ 解析单行文本中的 Markdown 行内样式，转换为 AppFlowy 的 Delta 格式。 支持：Bold, Italic, Strikethrough, Code, Link """ if not text: return [{"insert": ""}] # 定义正则模式 (优先级：Code > Link > Bold > Italic > Strike) # 注意：这里使用简单的正则，不支持极度复杂的嵌套，但足够日常使用 pattern = re.compile( r"(?P<code>`[^`]+`)|" # `code` r"(?P<link>\[[^\]]+\]\([^)]+\))|" # [text](url) r"(?P<bold>\*\*[^*]+\*\*)|" # **bold** r"(?P<italic>\*[^*]+\*)|" # *italic* r"(?P<strike>~~[^~]+~~)" # ~~strike~~ ) deltas = [] last_end = 0 for match in pattern.finditer(text): start, end = match.span() # 1. 添加匹配项之前的普通文本 if start > last_end: deltas.append({"insert": text[last_end:start]}) # 2. 处理匹配到的样式文本 kind = match.lastgroup value = match.group() attributes = {} content = value if kind == "code": attributes["code"] = True attributes["bg_color"] = "0x00000000" # 可选：给代码块加个默认透明背景或其他色 content = value[1:-1] # 去除 ` elif kind == "link": # 解析 [text](url) m_link = re.match(r"\[(?P<text>[^\]]+)\]\((?P<url>[^\)]+)\)", value) if m_link: content = m_link.group("text") attributes["href"] = m_link.group("url") attributes["font_color"] = "0xff00b5ff" # 可选：给链接加个蓝色 elif kind == "bold": attributes["bold"] = True content = value[2:-2] # 去除 ** elif kind == "italic": attributes["italic"] = True content = value[1:-1] # 去除 * elif kind == "strike": attributes["strikethrough"] = True content = value[2:-2] # 去除 ~~ # 添加带属性的片段 deltas.append({ "insert": content, "attributes": attributes }) last_end = end # 3. 添加剩余的普通文本 if last_end < len(text): deltas.append({"insert": text[last_end:]}) return deltas - appflowy_skill.py:20-44 (helper)Helper function to authenticate and retrieve Bearer token for AppFlowy API using email and password from environment variables.
def get_auth_token(): """获取访问 Token""" email = get_env_var("APPFLOWY_EMAIL") password = get_env_var("APPFLOWY_PASSWORD") url = f"{BASE_HOST}/appflowy/gotrue/token" params = {"grant_type": "password"} payload = { "email": email, "password": password } headers = { "Content-Type": "application/json", "User-Agent": "Claude-Skill/1.0" } try: response = requests.post(url, params=params, json=payload, headers=headers) response.raise_for_status() data = response.json() return data.get("access_token") except Exception as e: raise RuntimeError(f"登录失败: {str(e)}。服务器返回: {response.text}")