hyperplexity
Hyperplexity
Quick Start
# Connect this server (installs CLI if needed)
npx -y smithery mcp add hyperplexity/hyperplexity
# Browse available tools
npx -y smithery tool list hyperplexity/hyperplexity
# Get full schema for a tool
npx -y smithery tool get hyperplexity/hyperplexity get_balance
# Call a tool
npx -y smithery tool call hyperplexity/hyperplexity get_balance '{}'Direct MCP Connection
Endpoint: https://hyperplexity--hyperplexity.run.tools
Required config:
X-Api-Key(header) — Your Hyperplexity API key. Get one (with $20 free credits) at https://hyperplexity.ai/account
Tools (16)
get_balance— Return the current account credit balance in USD.get_usage— Return API usage history. Dates in YYYY-MM-DD format.upload_file— Upload a local file to Hyperplexity.start_table_validation— Confirm the upload and detect matching prior configs.get_job_status— One-shot job status check. Prefer wait_for_job for tracking long-running jobs.get_job_messages— Fetch live progress messages for a running job.wait_for_job— Wait for a job to reach a terminal state, emitting live MCP progress notifications.approve_validation— Approve a preview and start full validation processing.get_results— Fetch the final validated/enriched results for a completed job.update_table— Re-run validation on a previously processed table (update in place).start_reference_check— Submit a reference-check job to fact-check text or a document.start_table_maker— Start a Table Maker conversation to generate a research table.get_conversation— Poll a conversation for new messages or a status change.send_conversation_reply— Send a user reply in an ongoing conversation (interview or table-maker).refine_config— Refine the generated validation config using natural language instructions.wait_for_conversation— Wait for a conversation turn to complete, emitting live synthetic progress.
# Get full input/output schema for a tool
npx -y smithery tool get hyperplexity/hyperplexity Prompts (3)
generate_table(description, columns) — Generate a new research table from a natural language description.validate_file(file_path, instructions) — Validate an existing Excel or CSV file with AI fact-checking.fact_check_text(text) — Fact-check a text passage by extracting and verifying its claims.