Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
제작자가 쓴 설명(영어 원문)
Extract data, create schemas, and export results from PDFs and documents with Suparse AI OCR.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
SUPARSE_API_KEY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"suparse": {
"command": "npx",
"args": [
"-y",
"@suparse/mcp"
],
"env": {
"SUPARSE_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add suparse --env SUPARSE_API_KEY=your-value -- npx -y @suparse/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"suparse": {
"command": "npx",
"args": [
"-y",
"@suparse/mcp"
],
"env": {
"SUPARSE_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"suparse": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@suparse/mcp"
],
"env": {
"SUPARSE_API_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 suparse 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: SUPARSE_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.5.0)은 18일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
MCP stdio server for the Suparse Document Processing API. Use it from local MCP clients such as Claude Code and Codex to extract structured data from documents into JSON, CSV, XLSX, or Google Sheets; process single files or folders, including encrypted PDFs; let Suparse auto-detect extraction schemas or apply your team templates; create schemas automatically; split mixed multi-page documents; and download or clean up results by document ID.
This is a local stdio MCP server. Connected MCP clients can ask it to read local document paths and write export files wherever the server process has permission. Only connect it to MCP clients and workspaces you trust.
The MCP server reads credentials from:
SUPARSE_API_KEY~/.config/suparse/config.jsonPrefer passing SUPARSE_API_KEY through your client's environment or secret-input support. The fallback file is implemented by Suparse and contains { "apiKey": "your_api_key" }. Protect it as a credential file.
Replace your_api_key in the examples below. Client env settings and CLI --env options can save the key in client configuration; keep files containing real keys out of Git and shared workspaces. CLI commands containing a key may also appear in shell history. Use scoped API keys where available.
Install your chosen client first and ensure Node.js 20+ and npx are available to it. These setups launch @suparse/mcp as a local stdio process:
Merge JSON examples into existing configuration rather than replacing other servers. After connecting, use the template-listing check to verify Suparse authentication.
Install for all your projects with user scope:
claude mcp add --scope user --transport stdio suparse \
--env SUPARSE_API_KEY=your_api_key \ -- npx -y @suparse/mcp
Keep the server name (suparse) before --env; Claude Code can otherwise parse it as another environment variable and report Invalid environment variable format.
To change an existing registration (for example, its API key or launch command), remove it before running the add command again:
claude mcp remove --scope user suparse
Use the name and scope from your original installation. For a user-scoped local test registered as suparse-local, run claude mcp remove --scope user suparse-local. After adding the updated registration, fully exit Claude Code and start a fresh session to load the new configuration.
Check the configuration and connection:
claude mcp list
claude mcp get suparse
Inside Claude Code, use /mcp to inspect status and tools, then run the template-listing check. See the Claude Code MCP documentation.
Open your config file at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows. Add Suparse to the mcpServers section:
{
"mcpServers": { "suparse": { "command": "npx", "args": ["-y", "@suparse/mcp"], "env": { "SUPARSE_API_KEY": "your_api_key" } } } }
Fully quit and reopen Claude Desktop, confirm Suparse appears among the available tools, then run the template-listing check.
If Windows reports a process-start error for npx, replace the server's command and args with:
{
"command": "cmd", "args": ["/c", "npx", "-y", "@suparse/mcp"] }
Keep the existing env block. This workaround is only needed for clients that cannot launch npx.cmd directly.
The preferred installation is through the CLI:
codex mcp add suparse \
--env SUPARSE_API_KEY=your_api_key \ -- npx -y @suparse/mcp
After installation, add tool_timeout_sec = 300 inside the existing [mcp_servers.suparse] table in ~/.codex/config.toml. The CLI command does not set this timeout.
Alternatively, configure the server manually in ~/.codex/config.toml or a project-scoped .codex/config.toml:
[mcp_servers.suparse]
command = "npx" args = ["-y", "@suparse/mcp"] tool_timeout_sec = 300
[mcp_servers.suparse.env] SUPARSE_API_KEY = "your_api_key"
tool_timeout_sec gives Suparse extraction tools up to five minutes to finish; Codex defaults to 60 seconds. The CLI and IDE extension share this configuration. See the Codex MCP documentation.
Verify the configured server:
codex mcp list
In an interactive Codex session, use /mcp to inspect active servers, then run the template-listing check.
Add this to ~/.cursor/mcp.json for all projects, or .cursor/mcp.json for the current project:
{
"mcpServers": { "suparse": { "type": "stdio", "command": "npx", "args": ["-y", "@suparse/mcp"], "env": { "SUPARSE_API_KEY": "${env:SUPARSE_API_KEY}" } } } }
Set SUPARSE_API_KEY in Cursor's environment before launching it; the ${env:SUPARSE_API_KEY} reference keeps the key out of the JSON file. Restart Cursor after changing its environment. Alternatively, put the key in an untracked personal configuration.
Open Cursor's MCP settings, confirm Suparse is enabled and its tools are available, then run the template-listing check in Agent chat. See the Cursor MCP documentation.
For Copilot CLI, install and verify with:
copilot mcp add suparse \
--env SUPARSE_API_KEY=your_api_key \ --timeout 300000 \ -- npx -y @suparse/mcp copilot mcp list
The timeout is in milliseconds and allows up to five minutes for tool discovery and calls. Then run the template-listing check in Copilot CLI. See the Copilot CLI command reference.
For a portable Copilot setup, create .mcp.json in the workspace root. For a personal installation, use ~/.copilot/mcp-config.json (or $COPILOT_HOME/mcp-config.json if configured):
{
"mcpServers": { "suparse": { "type": "stdio", "command": "npx", "args": ["-y", "@suparse/mcp"], "env": { "SUPARSE_API_KEY": "your_api_key" }, "tools": ["*"] } } }
Keep any file with a real key untracked. For a workspace configuration using VS Code's password input, use .vscode/mcp.json instead:
{
"inputs": [ { "id": "suparse-api-key", "type": "promptString", "description": "Suparse API key", "password": true } ], "servers": { "suparse": { "type": "stdio", "command": "npx", "args": ["-y", "@suparse/mcp"], "env": { "SUPARSE_API_KEY": "${input:suparse-api-key}" } } } }
The VS Code format uses servers; the portable format uses mcpServers. Choose one setup to avoid duplicate servers. Interactive inputs are not forwarded to Copilot harness sessions; use the portable setup for those sessions.
Run MCP: List Servers from the Command Palette, select Suparse and start it, then run the template-listing check in agent chat. See the VS Code MCP configuration reference.
Install for your user account:
gemini mcp add --scope user \
--env SUPARSE_API_KEY=your_api_key \ suparse npx -y @suparse/mcp
This writes the server configuration to ~/.gemini/settings.json. Check connection status with:
gemini mcp list
In an interactive session, use /mcp list to inspect tools, then run the template-listing check. See the Gemini CLI MCP documentation.
These instructions target the legacy Cascade agent. For the newer default Devin Local agent, follow the Devin CLI MCP configuration documentation; its configuration locations and migration behavior depend on the installed version, even where paths overlap with Cascade.
Open the MCP configuration from Cascade's MCP controls. Windsurf installations use ~/.codeium/windsurf/mcp_config.json (%USERPROFILE%\.codeium\windsurf\mcp_config.json on Windows). Cascade in current Devin Desktop releases uses ~/.config/devin/mcp_config.json (or $XDG_CONFIG_HOME/devin/mcp_config.json) on macOS/Linux and %APPDATA%\devin\mcp_config.json on Windows. Opening the file from Cascade selects the path for your installed version.
Add Suparse under mcpServers:
{
"mcpServers": { "suparse": { "command": "npx", "args": ["-y", "@suparse/mcp"], "env": { "SUPARSE_API_KEY": "your_api_key" } } } }
Save the file, refresh the MCP list or restart the client, and confirm Suparse and its tools are enabled in Cascade. Run the template-listing check. See the Cascade MCP documentation.
In your client's agent chat, ask:
Use Suparse's
list_templatestool to list my team's available extraction templates.
Approve the tool call if prompted. A successful response confirms both the MCP connection and Suparse API authentication; an empty team_templates list is valid if your team has no templates. This check does not upload or process a document.
If the server fails to start, check that Node.js 20+ and npx are on the client's PATH, and inspect its MCP logs. For authentication errors, check the key passed to the server or the Suparse fallback file. Desktop applications may not inherit environment variables set in a terminal.
Processing may consume Suparse credits. Use a small sample invoice or receipt containing data you are comfortable uploading to Suparse.
start_file_extraction to extract structured data from /absolute/path/to/sample.pdf. Return the task ID and any document IDs or processing status provided. Do not delete the uploaded document."wait_for_task_extraction with the returned task ID. If processing is still running, retain the ID and poll again; do not upload the file again.fetch_document_result. If necessary, use get_task_results with the task ID to discover document IDs.This checks local file access, authentication, upload, processing, and result retrieval. Keep the uploaded document unless you explicitly want to delete it later.
| Goal | Recommended tool |
|---|---|
| Process a document, then obtain task/document IDs | extract_file with the default result_mode: "defer" |
| Start processing and return after upload confirmation | start_file_extraction |
| Get JSON directly in the MCP response | extract_file with result_mode: "return_json" |
| Start processing many documents | start_folder_extraction |
| Inspect intermediate results | get_task_results |
| Save a CSV/XLSX/JSON file | download_results |
| Download a completed export after reconnecting | download_export_job |
defer uploads and polls until processing reach
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요