INDIVIDUAL MCP TOOL

Agentic_RL_list_sources

List original papers and retrieval coverage.

huggingface.conone authenticationAvailability not checked

LIVE ENDPOINT

https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp

No auth detected

Connect to this endpoint to inspect the live schema for Agentic_RL_list_sources and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.gradio]
url = "https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "gradio": {
      "type": "http",
      "url": "https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: gradio
Remote MCP URL: https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "gradio": {
      "url": "https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "gradio": {
      "type": "http",
      "url": "https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "gradio",
  "transport": "streamable-http",
  "url": "https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Agentic_RL_search_evidence — Search original papers on agentic reinforcement learning, credit assignment and CLI agents.
Agentic_RL_fetch_evidence — Fetch a complete original evidence block by the evidence_id returned from search_evidence, including section anchor, version, equations, table cells, links, and attribution.
Agentic_RL_dataset_overview — Inspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation.
Agentic_RL_search_tasks — Find real ShellOps CLI benchmark tasks by case-insensitive literal substring in the complete instruction, task ID or published task type.
Agentic_RL_get_task — Inspect one published ShellOps or ShellOps-Pro task by its exact task_id and partition ('shellops' or 'shellops_pro').
Agentic_RL_list_method_facets — List exact filter values for agent RL credit granularity, supervision, value critics and evaluation settings.
Agentic_RL_filter_methods — Filter agent RL credit-assignment methods by research conditions and return original section evidence and BibTeX.