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Review by Korbit AI
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| Category | Issue | Status |
|---|---|---|
| Missing Return Type Hints ▹ view | ✅ Fix detected | |
| Critical Method Missing Type Hints ▹ view | ✅ Fix detected | |
| Direct Access to Internal Implementation ▹ view | ✅ Fix detected | |
| Redundant Dictionary Operations ▹ view | ✅ Fix detected | |
| Over-broad exception handling ▹ view | ||
| Global Configuration State ▹ view | ✅ Fix detected |
Files scanned
| File Path | Reviewed |
|---|---|
| browsergym/core/src/browsergym/utils/mcp_server.py | ✅ |
| browsergym/core/src/browsergym/core/env.py | ✅ |
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recursix
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Very cool. Let's dicuss further what's left to do for broader integration i.e what are the current limitations, how can it be used in AgentLab (probably need to automatically spawn a server per job).
recursix
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All clean. Shouldn't break anything.
* basic MCP server that exposes all tools from the action set * separate pre and post-processing of a gym step from the step execution * MCP server wraps every function into an async wrapper that calls the gym and sets up required global vars --------- Co-authored-by: ThibaultLSDC <thibault.de.chezelles@gmail.com>
MCP Server that wraps up the BrowserGym gym, could be configured for any subset of task actions.
Short docs:
How to debug and run tool calls manually with web UI:
mcp dev browsergym/core/src/browsergym/utils/mcp_server.py -e browsergym/core/http://127.0.0.1:6274in browserHow to run only the server with a visible browser:
Description by Korbit AI
What change is being made?
Introduce an MCP server for BrowserGym, enhancing its functionality to support remote procedural calls and facilitating environment interaction through a command-line interface, with necessary modifications to the project's configuration files to accommodate this feature.
Why are these changes being made?
These changes are being made to enable BrowserGym to operate as a server, handling web automation tasks remotely via MCP, which aligns with the goals of increasing the framework's flexibility and interoperability in automation environments. The addition of a CLI option enhances user experience by allowing more granular control over task execution parameters.