MCP server

Agentic RL: Credit Assignment and CLI Agents

space.hf.hoyant-su-agentic-rl/agentic-rl

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Filter agent RL methods by supervision, critic and task setting; retrieve source links and BibTeX.

Working at last checkAbout 1,053 tokens per request once connected8 tools

Website

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

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 8
Token cost: About 1,053 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http agentic-rl https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp/

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"agentic-rl","server_url":"https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp/","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agentic-rl","server_url":"https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp/"}

Tools

Agentic_RL_dataset_overview ~68 tokens
Inspect ShellOps and ShellOps-Pro task counts, train/test splits, task types, published schemas, source files, license and citation.
Agentic_RL_fetch_evidence ~100 tokens
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_filter_methods ~192 tokens
Filter agent RL credit-assignment methods by research conditions and return original section evidence and BibTeX. Discover accepted values with list_method_facets. Filters combine with AND; empty strings leave a facet unrestricted. Unknown critic status never matches no. Results use publication orde
Agentic_RL_get_task ~175 tokens
Inspect one published ShellOps or ShellOps-Pro task by its exact task_id and partition ('shellops' or 'shellops_pro'). Returns the complete instruction, actual reward specification, published reference answer/command, file-entry metadata, pinned parquet rows and workspace asset links. File content i
Agentic_RL_list_method_facets ~77 tokens
List exact filter values for agent RL credit granularity, supervision, value critics and evaluation settings. Each value reports its source-supported method count.
Agentic_RL_list_sources ~85 tokens
List original papers and retrieval coverage. Discover source-linked comparisons of credit assignment, agent memory, selective observation and terminal benchmarks, with JSON, CSV and BibTeX links.
Agentic_RL_search_evidence ~125 tokens
Search original papers on agentic reinforcement learning, credit assignment and CLI agents. Use English keywords (AND), OR and quoted phrases. Return relevant passages, source citations, equations and table cells.
Agentic_RL_search_tasks ~231 tokens
Find real ShellOps CLI benchmark tasks by case-insensitive literal substring in the complete instruction, task ID or published task type. Empty query lists all tasks. Select partition 'all', 'shellops' or 'shellops_pro'; select published split 'all', 'train_src', 'train' or 'test'. Results are order

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