What environment variables are required?
You need `APPSIGNAL_API_TOKEN` and `APPSIGNAL_APP_ID` set in your environment or in the MCP server configuration.
@c20020207
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"appsignal": {
"command": "npx mcp-appsignal",
"env": {
"APPSIGNAL_API_TOKEN": "your_token",
"APPSIGNAL_APP_ID": "your_app_id"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Appsignal Mcp is an MCP (Model Context Protocol) server that connects to AppSignal’s GraphQL API to fetch incident information. It is intended for developers using AppSignal who want to access incident details, samples, and lists through an MCP-compatible client.
Install with npm install -g mcp-appsignal, set the environment variables APPSIGNAL_API_TOKEN and APPSIGNAL_APP_ID, then run mcp-appsignal. For use with Cursor, add the server configuration with those environment variables.
You need `APPSIGNAL_API_TOKEN` and `APPSIGNAL_APP_ID` set in your environment or in the MCP server configuration.
Install it globally using `npm install -g mcp-appsignal`.
Three resources: `appsignal://incident/{incidentNumber}`, `appsignal://incident/{incidentNumber}/sample/{sampleId?}`, and `appsignal://incidents`.
Three tools: `getIncident` (by number), `getIncidentSample` (by incident and optional sample ID), and `listIncidents` (with optional filtering).
Two prompts: `analyzeIncident` for analyzing an incident and providing insights, and `suggestFixes` for suggesting fixes for an error.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

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Model Context Protocol Servers

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