await-mcp

await-mcp

Provides blocking await tools to poll commands, URLs, or files until a condition is met, eliminating the need for sleep loops in agent workflows.

Category
Visit Server

README

await-mcp

Block agent execution until a condition is met — no more sleep N loops or returning early.

Problem

When agents run long operations (cloud builds, CI tests, deployments), they either:

  1. sleep N then check — inaccurate, wastes turns, model may give up
  2. Return and let the user remind them — breaks automation

Solution

An MCP server that provides blocking await tools. The agent calls a tool, and the MCP server blocks (polling internally) until the condition is met. The agent is "stuck" on the tool call until it returns.

Agent: Start build → build ID 12345
Agent: Wait for build → await_command("curl -sf .../build/12345 | grep -q done") → BLOCKS
  [progress] Check #1 (0s): exit=1, running...
  [progress] Check #2 (30s): exit=1, running...
  [progress] Check #3 (60s): exit=0, success!
Agent: Build succeeded! Proceeding...

How It Works

Key insight: MCP tool calls are blocking

MCP clients block on MCP tool calls — the agent loop awaits the tool result. The MCP server can hold the connection open as long as needed (up to the configured timeout).

Progress notifications

The client generates a progressToken for each MCP tool call and listens for notifications/progress. The server sends progress updates with this token, so the user sees real-time polling status in the UI.

Timeout configuration

Level Default Configurable via
MCP server (connection-level) client-dependent timeout in the client's MCP server config
Per-tool-call 1 hour (3600s) timeout_seconds parameter in the tool call

Set a large connection-level timeout in your client config to allow very long operations.

Tools

await_command

Polls a shell command until it exits with code 0 (success) or 2 (failure).

  • Exit 0: condition met → return { status: "success" }
  • Exit 2: condition failed → return { status: "failed" }
  • Other exit code: still running → keep polling
  • Timeout: return { status: "timeout" }
{
  "command": "curl -sf https://ci.example.com/build/123/status | grep -q done",
  "timeout_seconds": 3600,
  "interval_seconds": 30
}

await_url

Polls a URL until it returns the expected HTTP status code.

{
  "url": "http://localhost:3000/health",
  "expected_status": 200,
  "body_contains": "ready",
  "timeout_seconds": 600,
  "interval_seconds": 10
}

await_file

Waits for a file to exist (and optionally contain specific content).

{
  "path": "/tmp/build-status",
  "contains": "SUCCESS",
  "timeout_seconds": 3600,
  "interval_seconds": 10
}

Installation

1. Clone and install dependencies

git clone https://github.com/adlternative/await-mcp.git
cd await-mcp
npm install

Requires Node.js 18+ (uses the built-in global fetch).

2. Register the MCP server with your client

Replace /path/to/await-mcp with the absolute path where you cloned the repo.

opencode

Add to your opencode.json (project) or ~/.config/opencode/opencode.json (global):

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "await": {
      "type": "local",
      "command": ["node", "/path/to/await-mcp/server.mjs"],
      "enabled": true
    }
  }
}

See the opencode MCP docs for more options.

Claude Code

Register via the CLI:

claude mcp add await -- node /path/to/await-mcp/server.mjs

Or add it manually to your .mcp.json (project scope) or ~/.claude.json:

{
  "mcpServers": {
    "await": {
      "command": "node",
      "args": ["/path/to/await-mcp/server.mjs"]
    }
  }
}

Qoder CLI

Add to ~/.qoder/settings.json:

{
  "mcpServers": {
    "await": {
      "command": "node",
      "args": ["/path/to/await-mcp/server.mjs"],
      "cwd": "/path/to/await-mcp",
      "timeout": 7200000,
      "alwaysAllow": ["await_command", "await_url", "await_file"]
    }
  }
}
  • timeout: 7200000 — 2 hour max per tool call (overrides the default)
  • alwaysAllow — skip permission prompts for the await tools

Usage Examples

Cloud build

Use await_command to wait for the build to complete:
  command: "curl -sf https://ci.example.com/build/<id> | jq -e '.status == \"success\"' && exit 0 || exit 1"
  interval_seconds: 30
  timeout_seconds: 3600

Service health check

Use await_url to wait for the service to be ready:
  url: "https://my-service.example.com/health"
  expected_status: 200
  interval_seconds: 10
  timeout_seconds: 600

File-based signaling

Use await_file to wait for a status file:
  path: "/tmp/deploy-status"
  contains: "SUCCESS"
  interval_seconds: 5
  timeout_seconds: 1800

Architecture

┌──────────────┐     MCP (stdio)      ┌──────────────┐
│  MCP client  │ ◄──────────────────► │   await-mcp  │
│  (agent)     │                      │   (server)   │
│              │  tools/call ──────►  │              │
│   agent      │                      │  poll loop   │
│   blocked    │  ◄─ progress notif   │  run check   │
│   waiting    │                      │  sleep       │
│              │  ◄─ result ────────  │  return      │
│   continues  │                      │              │
└──────────────┘                      └──────────────┘

Why not just sleep?

  • sleep N is a guess — too short and you check too early, too long and you waste time
  • Each check is a separate agent turn, consuming tokens and risking the model giving up
  • await-mcp does the polling inside the MCP server, not in the agent loop

Future Improvements

  • await_webhook: Two-phase (register + wait) for push-based notifications from CI/CD
  • WebSocket support: For real-time push instead of polling
  • Composite conditions: Wait for multiple conditions (AND/OR)

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured