How are agents authenticated?
All endpoints except `/health`, `/users/register`, and `/users/login` require an `x-api-key` header. API keys are managed per user through dedicated endpoints.
@LeadBroaf
Basic information
Open-source, modular “brain” for AI employees. Integrates with n8n and workflow engines, features persistent agent memory, natural language interface, and feedback loops. SaaS-ready, extensible, and easy to deploy with Docker.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-agent-server": {
"type": "http",
"url": "http://localhost:4000"
}
}
}Tool list not available yet
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Fetch the live tool list directly from this server's endpoint using the button above.
MCP Agent Server is an open‑source, modular “brain” for AI employees/agents, designed to work seamlessly with n8n and other workflow engines. It enables users to create persistent agents with memory, feedback loops, and natural language interfaces.
Clone the repository, copy any docs and memory folders, then build and run with docker-compose up --build. The server becomes available at http://localhost:4000. You need Node.js and Docker installed. After startup, register a user via POST /users/register, obtain an API key, and use that key to manage agents and memory endpoints.
All endpoints except `/health`, `/users/register`, and `/users/login` require an `x-api-key` header. API keys are managed per user through dedicated endpoints.
Use `POST /users/register` to create a user, `POST /users/login` to get an API key, and `GET /users/me/api-keys`, `POST /users/me/api-keys`, `DELETE /users/me/api-keys/:id` to list, create, or revoke keys.
Node.js and Docker must be installed. The server runs via Docker Compose and listens on port 4000 by default.
Memory and feedback are persistent and agent‑centric. Use `POST /agents/:id/memory` to add memory/feedback and `GET /agents/:id/memory` to retrieve it.
Yes, the project is open source and available on GitHub.
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