About HumanLeg.ai
HumanLeg.ai is an MCP server for agents that need to request bounded tasks from the HumanLeg synthetic sandbox. Its exposed tools cover quotes, task creation, and read-only review; settlement actions remain disabled by default.
Key features
- 01Get task quotes
- 02Create tasks
- 03Review tasks read-only
- 04Settlement tools hidden by default
Use cases
- 01Estimate a task before creating it
- 02Submit an agent task to the sandbox
- 03Review task results without publishing
MCP support
It exposes HumanLeg.ai actions to MCP clients over local stdio or hosted Streamable HTTP. The hosted endpoint operates in a synthetic sandbox and does not dispatch real people or move real funds.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://humanleg.ai/mcpclaude mcp add --transport http humanleg-ai-humanleg https://humanleg.ai/mcp{"mcpServers":{"humanleg-ai-humanleg":{"type":"http","url":"https://humanleg.ai/mcp"}}}Open in Cursor{"servers":{"humanleg-ai-humanleg":{"type":"http","url":"https://humanleg.ai/mcp"}}}Open in VS Code{"mcpServers":{"humanleg-ai-humanleg":{"type":"http","url":"https://humanleg.ai/mcp"}}}{"mcpServers":{"humanleg-ai-humanleg":{"serverUrl":"https://humanleg.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project README@humanleg/mcp-server
Connect AI agents to the HumanLeg synthetic sandbox over local stdio or hosted Streamable HTTP. The public surface exposes quote, task creation and read-only review tools only; funding and publication stay disabled unless an operator explicitly enables the local-only settlement demo.
Hosted Remote MCP
{
"mcpServers": {
"humanleg": {
"url": "https://humanleg.ai/mcp"
}
}
}
The hosted endpoint is synthetic-only and does not dispatch real humans or move real funds.
MCP server for explicit HumanLeg.ai agent actions.
{
"mcpServers": {
"humanleg": {
"command": "npx",
"args": ["-y", "@humanleg/mcp-server"],
"env": {
"HUMANLEG_API_URL": "http://127.0.0.1:8787",
"HUMANLEG_AGENT_TOKEN": "sandbox-agent-token"
}
}
}
}
Funding and publication are separate tools. The server never publishes merely because a task was
created or approved. Those two tools are hidden by default; expose them only for a synthetic demo by
setting HUMANLEG_ENABLE_SETTLEMENT=true.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.