nahook-mcp

nahook-mcp

The official MCP server for Nahook. Manage webhook endpoints, inspect deliveries and delivery attempts, retry failed deliveries, and list environments — directly from Claude, Cursor, Cline, or any MCP-compatible client.

Category
Visit Server

README

nahook-mcp

The official Model Context Protocol server for Nahook — drive webhook deliveries, endpoints, and event triggers from Claude Desktop, Cursor, Cline, and any other MCP-compatible AI assistant.

The MCP server ships as a subcommand of the nahook CLI. One binary, one credentials file, one install path.

Glama

What it does

Once installed and authenticated, your AI assistant can:

  • Inspect endpoints, deliveries, and per-attempt logs to debug failed webhooks.
  • Retry failed or dead-lettered deliveries.
  • Trigger events and fan them out to every subscribed endpoint.
  • Send webhooks directly to a single endpoint.
  • Manage endpoints (create, update, pause, resume) — never delete, by design.

Write operations are tagged with the MCP destructiveHint/readOnlyHint annotations so MCP clients surface a per-call human-approval prompt before anything mutates state.

Install

The MCP server is a subcommand of the nahook CLI. Install the CLI, then add it to your AI client.

1. Install the CLI

macOS / Linux (Homebrew):

brew install getnahook/tap/nahook

Linux / macOS (install script):

curl -fsSL https://cli.nahook.com/install.sh | sh

See getnahook/nahook-cli for other install options.

2. Log in once

nahook login

This opens your browser, walks you through device-grant authentication, and writes credentials to ~/.nahook/config.toml.

3. Wire the MCP server into your AI client

Claude Desktop & Claude Code CLI:

claude mcp add nahook -- nahook mcp serve

Cursor — edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "nahook": {
      "command": "nahook",
      "args": ["mcp", "serve"]
    }
  }
}

Cline (VS Code) — Cline → Settings → MCP Servers → add:

{
  "nahook": {
    "command": "nahook",
    "args": ["mcp", "serve"]
  }
}

Zed — add to settings.json:

{
  "assistant": {
    "mcp_servers": {
      "nahook": {
        "command": "nahook",
        "args": ["mcp", "serve"]
      }
    }
  }
}

Other MCP-compatible clients (Continue, Windsurf, Goose, …) follow the same command + args shape.

Tools

Tool What it does
whoami Local config sanity check — workspace, region, token id, expiry.
list_endpoints List every endpoint in the current workspace.
get_endpoint Fetch one endpoint by ep_xxx.
create_endpoint Create a new endpoint. Defaults to the workspace's default environment; also accepts slugs like production.
update_endpoint Partial patch — pause/resume, change URL, update description.
list_environments List every environment in the workspace.
list_deliveries Page through an endpoint's deliveries, newest-first.
get_delivery Fetch one delivery by del_xxx. Pass include_payload: true to also fetch the original webhook body — critical for debugging.
list_attempts List every attempt against a delivery (useful for debugging failures).
retry_delivery Re-enqueue a failed or dead-lettered delivery.
trigger_event Fire an event by type — the backend fans it out to every subscriber.
send_to_endpoint Send a webhook directly to one endpoint.

Authentication model

The MCP server uses two separate credentials:

  • CLI login token (nhc_…) — written by nahook login. Powers read tools and management operations on endpoints / deliveries / environments.
  • Ingestion key (nhk_…) — the same key your SDKs use. Powers trigger_event and send_to_endpoint. Set it via NAHOOK_INGESTION_KEY=nhk_... in the MCP client's environment, or add ingestion_key = "nhk_..." to ~/.nahook/config.toml. The server fails loudly if a write tool is called without one configured.

Permissions are evaluated per request against your workspace role — the MCP token has exactly the permissions you have in the dashboard, nothing more.

Where the code lives

The MCP server implementation is part of the nahook CLI source tree. This repo exists as a discoverability surface — README, MCP directory entries, and packaging metadata. There is no separate codebase to maintain.

If you want to file a bug, request a tool, or contribute: please open the issue at getnahook/nahook-cli.

License

MIT — same as the CLI.

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