Trail runs on your own machine — the client starts it, so there is no endpoint to ping. 104 installs a week from npm. Last commit 18 Sep 2026.
Issue tracker and durable project memory for your coding agent, scoped to the folder you open.
We read the source, 4 d ago · rules ccca72095570
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const child = spawn(cmd, args, { stdio: 'ignore', detached: true })
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add trail -- npx -y usetrail
{
"mcpServers": {
"trail": {
"args": [
"-y",
"usetrail"
],
"command": "npx"
}
}
}
[mcp_servers.trail]
command = "npx"
args = ["-y", "usetrail"]
{
"mcpServers": {
"trail": {
"args": [
"-y",
"usetrail"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"trail": {
"args": [
"-y",
"usetrail"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
TRAIL_API_URL (Only for a self-hosted Trail. Left unset, the connector points at the hosted service.), TRAIL_PROJECT (Overrides the project name, which otherwise comes from the folder you have open.).
The author declared them in the registry entry; get the values from the project itself.
MCP server for AI coding agents to interact with the Hiveship issue tracker
MCP server for Linear project management and issue tracking
The project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.
Minimal issue tracker: projects, objectives and trackable plans, written by agents over MCP.
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
Issue tracking for software projects: issues, epics, releases, docs and boards, from your AI.
Issue tracker and wiki for teams and their agents: find, file and update issues, write pages.
Project management for coding agents. Bugs, features, sprints. Streamable HTTP + SSE remotes.
Answers built from our own checks of this server.