Agent Traffic Lab helps AI agents discover and select suitable tools, MCP servers, and execution providers for tasks such as web search, data extraction, summarization, translation, and classification. It supports callable handoffs, automatic fallback when providers fail, and outcome reporting to improve future routing.
DeepSeek Harness (DSH) is DeepSeek's agent harness. Each MCP server is one plugin entry in your project config.
This guide connects Agent Traffic Lab MCP to DeepSeek Harness through MewCP, so DeepSeek Harness can use Agent Traffic Lab MCP's 1 tool, like atl_complete_task.
Agent Traffic Lab MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
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Other clients
Agent Traffic Lab MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Agent Traffic Lab MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
In your DSH project, or the patch file you mount plugins from.
One plugin instance is one MCP server. Add this to your plugin list.
Tools register as mcp__mewcp__<tool_name>. Sign in when the browser window opens.
Start a new chat and ask: "List the tools you can use from MewCP." You should see your connected apps.
Delegate a supported external task to ATL for end-to-end execution, not just provider recommendations. ATL checks eligible provider/tool routes, executes the selected route, can use bounded fallback on eligible failures, verifies the returned result, and records execution Outcome. Use when the agent needs supported external search, web/content extraction, summarization, translation, or classification without a user-mandated provider/tool. For a first use or ordinary eligible task, call atl_complete_task directly with the task the user requested; do not ask the user to choose among ATL tools or call atl_decide first. Never invent a task or execute without a user request. Send the natural-language task once. Public first use does not require an ATL API key or ATL setup. Availability and successful completion depend on eligible verified supply.
