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Add a keyless Parallel Search MCP pipeline example - #46
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georgeatparallel wants to merge 4 commits into
Open
georgeatparallel wants to merge 4 commits into
georgeatparallel wants to merge 4 commits into
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Adds a runnable web research example through AgentFlow's existing Python utility node. Install
.[parallel-search], then runagentflow run examples/parallel_search.py --output summary. SetAGENTFLOW_SEARCH_QUERYto change the query. The node searches, fetches the first result, and returns both responses as JSON without Parallel API keys or model credentials. It makes direct MCP calls, with no LLM agent loop. Anonymous use has lower rate limits; oversized individual excerpts fail with a diagnostic; existing agent and provider defaults stay unchanged.I work at Parallel. For context: Artificial Analysis Search API benchmarks.
Tested: clean installation, live anonymous search and fetch through the local runner, request headers, and protocol/error regression tests.