Highway MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Highway MCPrun_goal 'summarize files in /tmp'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Highway MCP
The MCP front door for Highway Agents. It lets any MCP host (Claude Desktop/Code, opencode, Cursor, Claude mobile) drive durable, always-on agents that run server-side on the Highway Workflow Engine — the user runs no infrastructure, just an MCP client and a Highway API key.
It exposes three tools, each a thin wrapper over the Highway REST API:
Tool | What it does | REST call |
| Start a durable agent run; returns |
|
| Status, progress, result, and |
|
| Resolve a human-in-the-loop approval to resume the run (works across devices/sessions). |
|
The agent loop itself is the engine tool tools.agent.run_goal driven by the
agent_run_goal workflow (one durable model turn per iteration, HITL approval
before outbound actions). See the engine repo (enterprise/tools/agent.py,
api/dsl_templates/agent_run_goal.py) and issue #749.
Prerequisites
The Highway stack running and reachable (default
http://localhost:7822).A Highway API key (
hw_k1_...) with permissionssubmit_workflows,view_workflows,view_approvals,approve_workflows. Mint one viaPOST /api/v1/admin/api-keys(see engine docs).
Related MCP server: dat-ai-mcp
Run
pip install -e .
# stdio (for a local host like opencode/Claude Desktop)
HIGHWAY_BASE_URL=http://localhost:7822 HIGHWAY_API_KEY=hw_k1_xxx highway-mcp
# remote / streamable-http (reachable by laptop + mobile clients)
TRANSPORT=http PORT=8848 HIGHWAY_BASE_URL=https://highway.rodmena.app \
HIGHWAY_API_KEY=hw_k1_xxx highway-mcpConnect from opencode (dogfood)
Add to the host's MCP config (stdio example):
{
"mcpServers": {
"highway-agents": {
"command": "highway-mcp",
"env": {
"HIGHWAY_BASE_URL": "http://localhost:7822",
"HIGHWAY_API_KEY": "hw_k1_xxx"
}
}
}
}Then: run_goal("summarise what files are in /tmp") → the agent asks to run a
shell command → get_status(<id>) shows a pending approval → approve(<key>) →
the run resumes and completes; get_status returns the result.
Configuration
Env var | Default | Purpose |
|
| Engine base URL |
| (required) |
|
|
|
|
|
| HTTP port when |
Status / follow-ups (Phase 0 spike)
Auth is single-key from env. Production needs per-connection auth so each customer's own key (from the MCP session/OAuth) is forwarded — not one shared server key.
Tool surface is a placeholder (
shell_run→tools.shell.run, approval required). Validate the argument contract live and replace with the real connector tools (Gmail etc.) in Phase 1.Long-running calls already use the start→poll pattern (
run_goalreturns a handle;get_statuspolls). Progress-notification/resource streaming is a later nicety.Engine-side durability caveat for side-effecting tools: issue #750.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
AlicenseAqualityDmaintenanceEnables AI agents to interact with Scout Live platform capabilities through standardized MCP primitives, including tools for app management, deployment, and logging.612MIT- AlicenseAqualityBmaintenanceProvides browser automation, audio transcription, and LLM chat as MCP tools for any agent.7MIT
- AlicenseNot gradedqualityBmaintenanceOrchestrates persistent task graphs and enforces approval policies for MCP-driven agent workflows, coordinating with Agents Gateway for execution.MIT
- AlicenseAqualityCmaintenanceEnables any MCP client to drive a multi-agent orchestration engine with planning, specialist tools, critic revision, and human-in-the-loop approval for sensitive actions.3MIT
Related MCP Connectors
Agent-native collaboration network: orchestrate a team of long-running agents from any MCP client.
Workflow diagnostics, capability routing, and x402 settlement for MCP-compatible agents.
Runtime permission, approval, and audit layer for AI agent tool execution.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/rodmena-limited/highway-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server