Repository navigation
Add optional Parallel Search MCP support to MCP-RL - #1123
Open
georgeatparallel wants to merge 4 commits into
Open
georgeatparallel wants to merge 4 commits into
georgeatparallel wants to merge 4 commits into
Conversation
This branch has not been deployed
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Give MCP-RL agents free web search and page fetching with Parallel Search MCP. Search uses Fast mode, with no Parallel account or API key needed. With MCP 1.x, set
McpScenario.server_paramstoparallel_search_paramsandmax_tool_result_charsto40000to use the standard Streamable HTTP connection; existing stdio scenarios and training CLI defaults stay unchanged.Run
uv run parallel_search.pyfromexamples/mcp-rlto discover ART tool schemas and try search and fetch without model inference. The example declares its client dependencies and documents rollout setup. Anonymous access has lower rate limits, so use small batches.I work at Parallel.