AgentStack MCP
OfficialThis server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
AgentStack MCP
One MCP server. A whole backend for your AI agent.
Data, auth & RBAC, payments & wallets, CRM, hosting, RAG, bots, scheduling and automation:
700+ actions behind a single tool, agentstack.execute, at https://agentstack.tech/mcp.
Website · MCP docs · Pricing · Action catalog · Status
Why AgentStack
One tool, the whole stack.
agentstack.executeruns a batch of catalog actions (auth.*,projects.*,crm.*,hosting.*,payments.*,rag.*…) in a single call. No tool-menu bloat in your context window.Remote first. Nothing to host: point your client at
https://agentstack.tech/mcp(MCP Streamable HTTP).OAuth or API key. Sign in in the browser (OAuth 2.1 + PKCE, dynamic client registration), or send
X-API-Key.Works everywhere. Cursor, Claude (Desktop & Code), VS Code, Windsurf, Gemini CLI, ChatGPT / OpenAI and any MCP client. stdio-only clients use the tiny bridge in this repo:
npx -y @agentstack/mcp.
Related MCP server: NiPlex MCP Server
Quick start
1. Add the server (pick your client below). The remote URL is all most clients need:
https://agentstack.tech/mcp2. Authenticate. Either sign in when your client opens the OAuth window, or create an API key at agentstack.tech/user/profile?tab=api and export it:
export AGENTSTACK_API_KEY=ask_...3. Ask your agent: "Use AgentStack: show my profile and projects."
Or let the CLI write the config for you:
npx -y @agentstack/mcp init cursor # or: claude-desktop | vscode | windsurf
npx -y @agentstack/mcp doctor # read-only connectivity / auth checkInstall by client
Deeplink (config is base64 of {"url":"https://agentstack.tech/mcp"}):
cursor://anysphere.cursor-deeplink/mcp/install?name=agentstack&config=eyJ1cmwiOiJodHRwczovL2FnZW50c3RhY2sudGVjaC9tY3AifQ%3D%3DOr add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):
{
"mcpServers": {
"agentstack": { "url": "https://agentstack.tech/mcp" }
}
}With an API key from your environment instead of OAuth: examples/cursor/mcp.with-api-key.json,
or npx -y @agentstack/mcp init cursor --with-key. Full plugin (rules, skills, commands): agentstacktech/cursor-plugin.
# OAuth sign-in on first use
claude mcp add --transport http agentstack https://agentstack.tech/mcp
# …or with an API key
claude mcp add --transport http agentstack https://agentstack.tech/mcp \
--header "X-API-Key: $AGENTSTACK_API_KEY"Then run /mcp inside Claude Code. Project-scoped .mcp.json: examples/claude-code/.mcp.json.
Plugin: agentstacktech/claude-plugin.
Use the stdio bridge. Edit claude_desktop_config.json
(macOS ~/Library/Application Support/Claude/, Windows %APPDATA%\Claude\, Linux ~/.config/Claude/):
{
"mcpServers": {
"agentstack": {
"command": "npx",
"args": ["-y", "@agentstack/mcp"],
"env": { "AGENTSTACK_API_KEY": "ask_REPLACE_WITH_YOUR_KEY" }
}
}
}Or run npx -y @agentstack/mcp init claude-desktop and replace the placeholder
(--embed-key copies $AGENTSTACK_API_KEY in and sets the file to 0600). Restart Claude Desktop.
Alternatively add https://agentstack.tech/mcp as a custom connector in Claude's settings where your plan supports it.
vscode:mcp/install?%7B%22name%22%3A%22agentstack%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fagentstack.tech%2Fmcp%22%7DOr .vscode/mcp.json (the key is asked once and stored as a secret):
{
"inputs": [
{ "type": "promptString", "id": "agentstack-api-key", "description": "AgentStack API key", "password": true }
],
"servers": {
"agentstack": {
"type": "http",
"url": "https://agentstack.tech/mcp",
"headers": { "X-API-Key": "${input:agentstack-api-key}" }
}
}
}npx -y @agentstack/mcp init vscode [--with-key] writes this for you. Extension: agentstacktech/vscode-plugin.
~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"agentstack": {
"serverUrl": "https://agentstack.tech/mcp",
"headers": { "X-API-Key": "${env:AGENTSTACK_API_KEY}" }
}
}
}Or npx -y @agentstack/mcp init windsurf --with-key. Drop headers to use OAuth.
~/.gemini/settings.json:
{
"mcpServers": {
"agentstack": {
"httpUrl": "https://agentstack.tech/mcp",
"headers": { "X-API-Key": "$AGENTSTACK_API_KEY" }
}
}
}Extension: agentstacktech/agentstack-gemini-extension.
ChatGPT connectors: add
https://agentstack.tech/mcpas a custom connector with OAuth. AgentStack supports dynamic client registration (/mcp/.well-known/oauth-register), scopesopenid tools:read tools:invoke.Responses API: use a remote
mcptool withserver_url: "https://agentstack.tech/mcp"and anX-API-Keyheader.
Details and a request example: examples/openai/. Plugin: agentstacktech/gpt-plugin.
URL |
|
Transport | Streamable HTTP (JSON responses) |
Auth | OAuth 2.1 · |
stdio |
|
curl walkthrough: examples/generic/.
Example prompts
"Use AgentStack to show my profile and list my projects."
"Create a new AgentStack project called
pet-shopand give me its project id.""Publish this
site/folder as a static site on AgentStack and give me the live URL.""Add a CRM contact for jane@example.com and move her deal to the Qualified stage."
"Set up a subscription plan with a 7-day trial and gate the
profeature behind it.""Ingest
docs/into a knowledge base and answer: how do refunds work?""When a new order is paid, send a Telegram message to the shop owner."
"What should I work on next in this project?" (Work Graph:
agents.work_next)
The agent discovers the right actions itself (discovery.search, live catalog at
agentstack.tech/mcp/actions).
The bridge CLI
npx -y @agentstack/mcp stdio bridge → https://agentstack.tech/mcp (default)
npx -y @agentstack/mcp init <client> cursor | claude-desktop | vscode | windsurf
--mode remote|stdio --with-key --project --embed-key --config <path> --dry-run
npx -y @agentstack/mcp doctor read-only check: initialize, tools/list, auth
npx -y @agentstack/mcp links print one-click install linksVariable | Purpose |
| API key ( |
| OAuth / Device Code token, sent as |
| Override the endpoint (HTTPS; |
|
|
The bridge is a transparent pipe: tools, prompts, resources and notifications come straight from the server.
init merges into existing configs, keeps a .bak backup and refuses to touch invalid JSON.
Security
Prefer OAuth: URL-only configs contain no secret; your client stores the token.
Keep API keys in environment variables or client secret inputs, never in committed files.
.env*,.cursor/mcp.jsonand.vscode/mcp.jsonare git-ignored here by default.Use project-scoped, least-privilege keys; rotate at agentstack.tech/user/profile?tab=api.
The connector never prints key values. Report vulnerabilities privately: see SECURITY.md.
Pricing
AgentStack has a free tier; paid business and personal plans add higher limits. See agentstack.tech/pricing for current plans.
FAQ
Is this the official AgentStack MCP server?
Yes. This is the official connector for the AgentStack MCP server. The server itself is hosted at
https://agentstack.tech/mcp.
Is the AgentStack core open source?
No. The AgentStack platform and MCP server core are closed-source, proprietary software. This repository
(MIT) contains only the connector: the stdio bridge, the init/doctor CLI, registry manifests, example configs and docs.
Do I need to install anything?
Not for clients with remote MCP support (Cursor, Claude Code, VS Code, Windsurf, Gemini CLI, ChatGPT). Only stdio-only
clients (e.g. Claude Desktop config files) need npx -y @agentstack/mcp.
Why only one tool?
agentstack.execute takes a list of steps ({id, action, params}) plus a context (e.g. project_id), so one
call can run several actions (up to 50 steps per call). Listing tools works without a key; calling them needs OAuth or an API key.
How many actions are there? 700+ public actions across dozens of domains; the live numbers are at /mcp/actions/summary.
Where are the docs? agentstack.tech/mcp-docs and github.com/agentstacktech/AgentStack.
Contributing & license
Issues and PRs for the connector are welcome: CONTRIBUTING.md · CHANGELOG.md.
Connector code: MIT. The AgentStack service, name and logos are proprietary and not covered by the MIT license.
This server cannot be deployed
Maintenance
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Backend platform for AI agents: one agentstack.execute tool runs batched steps over +700 actions (hosting, storage, auth, payments, CRM, app builder).
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