GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Official Sevalla MCP: deploy, debug and manage apps, static sites and databases.
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Pick the AI app you use, then copy the settings.
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Works in Claude on the web, desktop and mobile:
https://mcp.sevalla.com/mcpRun this in your terminal
claude mcp add --transport http sevalla https://mcp.sevalla.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sevalla": {
"url": "https://mcp.sevalla.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"sevalla": {
"type": "http",
"url": "https://mcp.sevalla.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.sevalla.com/mcpMenu names can differ slightly by plan and over time.
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The server asks you to sign in before it lists its tools.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account sevalla, which owns the repo
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Responded in 218 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
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It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (2.0.0) reached the registry 6 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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Deploy, debug and manage Sevalla applications, databases and static sites from any AI agent.
Docs · Sevalla · mcp.sevalla.com
A remote Model Context Protocol (MCP) server for Sevalla, so AI agents like Claude Code, Cursor and Codex can work with the applications, databases and static sites in your Sevalla company. It gives them 27 tools: 22 purpose-built tools for the everyday workflows (deploying, reading logs and metrics, environment variables, scaling, domains, creating services) and 5 generic tools that reach the rest of the Sevalla API by operation ID, split into read, create, update and delete.
Connect your MCP client to the hosted server at https://mcp.sevalla.com/mcp, then sign in with your Sevalla account when the client opens a browser.
claude mcp add --transport http sevalla https://mcp.sevalla.com/mcp
Then type /mcp inside Claude Code and select Authenticate to complete the OAuth flow.
Add via Settings → Connectors → Add Connector and enter https://mcp.sevalla.com/mcp as the URL. Claude Desktop handles OAuth automatically.
Add to .cursor/mcp.json in your project root:
{
"mcpServers": { "sevalla": { "url": "https://mcp.sevalla.com/mcp" } } }
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "sevalla": { "serverUrl": "https://mcp.sevalla.com/mcp" } } }
Add to opencode.json in your project root:
{
"$schema": "https://opencode.ai/config.json", "mcp": { "sevalla": { "type": "remote", "url": "https://mcp.sevalla.com/mcp" } } }
Then run opencode mcp auth sevalla to complete the OAuth flow.
Every tool carries a title and explicit readOnlyHint, destructiveHint, idempotentHint and openWorldHint annotations, so clients like Claude run read-only tools without asking and always confirm destructive ones.
| Area | Tools |
|---|---|
| Discovery | list_services, get_application, get_static_site, get_database, get_platform_options, search_sevalla_docs |
| Deployments | list_deployments, get_deployment, get_deployment_logs, trigger_deployment, rollback_deployment |
| Observability | search_runtime_logs, search_access_logs, get_metrics |
| Configuration | list_environment_variables, set_environment_variables, delete_environment_variables, scale_process, add_domain |
| Create | create_application, create_static_site, create_database |
| Rest of the API | sevalla_api_search, sevalla_api_read, sevalla_api_create, sevalla_api_update, sevalla_api_delete |
The generic tools only accept operation IDs from a reviewed table generated from the Sevalla API v3 spec: the server, not the model, picks the HTTP method and path, and each tool only runs operations of its own class.
Environment variable values are withheld: the tools list variable keys and their scoping, and set or delete them without ever returning a value. Everything else the Sevalla API offers is available, including deleting entire services, managing API keys and operations that issue a new secret (rolling a webhook secret, regenerating a deployment hook, rotating storage credentials), which return that secret. Destructive tools are annotated so Claude asks for confirmation before each call. Commands run inside a process (execProcessCommandV3) and application logs can still show secrets.
Clients sign in with OAuth: the client opens a browser, you approve the connection in the Sevalla dashboard, and the approval creates an API key for it. No API key goes in the client's config. Clients without OAuth can send a Sevalla API key as Authorization: Bearer instead.
Every tool is limited by the permissions of the Sevalla API key behind the connection. Sevalla API keys support granular permissions, so a read-only key keeps an agent read-only. Full API reference at api-docs.sevalla.com.
Each request creates a fresh MCP server bound to the caller's API key; nothing is stored between requests. The server speaks MCP 2026-07-28 (server/discover, per-request metadata, cacheable tool lists) and still serves clients on the 2025 revisions (2025-11-25 back to 2024-11-05) over the same URL, with the same tools.
Sign-in is OAuth 2.1 with PKCE. Clients identify themselves with an OAuth Client ID Metadata Document (as Claude, ChatGPT and VS Code do) or, for older clients, Dynamic Client Registration. The flow is stateless too: pending authorizations are HMAC-signed into the callback URL, authorization codes are AES-256-GCM encrypted, and access tokens are encrypted and bound to https://mcp.sevalla.com/mcp.
To fully remove the Sevalla MCP server, delete the server configuration and clear stored OAuth credentials.
Removing the MCP server does not delete your API key on Sevalla. To revoke it, go to app.sevalla.com/api-keys.
claude mcp remove sevalla
Then clear the stored OAuth token: run /mcp inside Claude Code, select sevalla, and choose Clear authentication.
If the server was added at a non-default scope, specify it explicitly:
claude mcp remove --scope user sevalla
claude mcp remove --scope project sevalla
Open Settings → Connectors, find the Sevalla connector, and remove it. Then fully quit and restart Claude Desktop.
OAuth tokens are stored in the operating system keychain (macOS Keychain / Windows Credential Manager). To remove them, delete the Sevalla entry from your keychain manually.
Delete the sevalla entry from .cursor/mcp.json (project) or ~/.cursor/mcp.json (global). Then clear cached OAuth tokens:
rm -rf ~/.mcp-auth
Delete the sevalla entry from ~/.codeium/windsurf/mcp_config.json.
opencode mcp logout sevalla
Then delete the sevalla entry from opencode.json in your project root.
Requirements: Node.js 26 (24 also works) and pnpm 12. TypeScript runs natively, no build step.
git clone https://github.com/sevalla/mcp.git
cd mcp pnpm install pnpm start
Or with Docker:
docker build -t sevalla-mcp .
docker run -p 3000:3000 -e OAUTH_SECRET sevalla-mcp
| Variable | Purpose |
|---|---|
PORT | HTTP port (default 3000) |
OAUTH_SECRET | base64url-encoded 32 bytes; required when NODE_ENV=production |
PUBLIC_URL | Public base URL used in OAuth metadata (default https://mcp.sevalla.com) |
SEVALLA_FRONTEND_URL | Sevalla dashboard URL for the OAuth consent page (default https://app.sevalla.com) |
SEVALLA_API_URL | Sevalla API base URL (default https://api.sevalla.com) |
SEVALLA_DOCS_URL | Documentation site searched by search_sevalla_docs (default https://docs.sevalla.com) |
DEVICE_CODE_TRUSTED_CLIENT_TOKEN | Service token that lets the API rate-limit OAuth sign-ins per end-user IP instead of per server IP |
CLIENT_IP_HEADER | Header carrying the end-user IP, set by your edge (default x-forwarded-for; use cf-connecting-ip behind Cloudflare) |
TRUSTED_PROXY_HOPS | With x-forwarded-for: number of trusted proxies that append to it; the client IP is read that many entries from the right (default 1) |
SEVALLA_API_KEY | --stdio mode: the Sevalla API key |
SHUTDOWN_TIMEOUT_MS | Graceful shutdown deadline (default 30000) |
OPENAI_APPS_CHALLENGE | Domain verification token served at /.well-known/openai-apps-challenge for the OpenAI plugin submission |
Client IP in production. The device-code rate limit is applied per end-user IP, so the server must read that IP from something your edge controls. Behind Cloudflare, set `CLIENT_IP_HEADER=
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