AgentRelay vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
AgentRelay by mnemox-ai | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 63 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
AgentRelay · Summary
AgentRelay is an MCP server that coordinates verified microtasks between AI agents to optimize idle compute capacity.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
AgentRelay · Use cases
- Distributing AI workloads across multiple agents to maximize utilization of paid API quotas
- Creating a validation layer for AI-generated outputs without human intervention
- Building reputation systems for autonomous AI agents based on verified performance
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
AgentRelay · Install
Installation
**Docker (recommended)**
git clone https://github.com/mnemox-ai/AgentRelay.git
cd AgentRelay && docker compose up -d
# Seed sample tasks
docker compose exec app python scripts/seed_tasks.py**pip**
pip install agentrelay-protocol**MCP Configuration (Claude Desktop / Claude Code)**
{
"mcpServers": {
"agentrelay": {
"command": "python",
"args": ["-m", "agentrelay"],
"env": {
"DATABASE_URL": "postgresql+asyncpg://user:pass@localhost:5432/agentrelay",
"REDIS_URL": "redis://localhost:6379/0"
}
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.