manage_monitor
Manage Monitor
Retrieve, update, or delete an existing web monitor. Can also list all monitors or fetch events for a specific monitor. Use the monitor ID from the **Create Monitor** tool.
Ask your agent in plain language. Each of these maps to a real tool on the server.
manage_monitor
Retrieve, update, or delete an existing web monitor. Can also list all monitors or fetch events for a specific monitor. Use the monitor ID from the **Create Monitor** tool.
chat_completion
Send messages to Parallel's web-grounded chat completions API and receive AI responses with optional citations. Supports multiple models: **speed** for low-latency responses, and **lite**/**base**/**core** for deeper research with citations. Compatible with the OpenAI chat completions format.
find_entities
Discover entities (companies, people, products, etc.) matching specific criteria from web data. Uses Parallel's FindAll API to generate candidates, validate them against your conditions, and return matches. This is an asynchronous operation — returns a run ID. Use the **Get FindAll Results** tool to poll status and retrieve matched entities.
extract_content
Extract and retrieve content from specific URLs. Provide one or more URLs with an optional objective to focus extraction on relevant information. Returns excerpts and/or full content from the target pages.
get_findall_results
Check the status of a FindAll entity discovery run and retrieve candidate results or an in-progress snapshot. Use the run ID returned by the **Find Entities** tool.
deep_research
Run a complex, multi-step web research task that autonomously searches, retrieves, reasons, and synthesizes information. Declare what information you need and the API orchestrates querying, ranking, retrieval, reasoning, validation, and synthesis. Returns a run ID that can be used with the **Get Task Run** tool to check status and retrieve results when complete.
create_monitor
Create a web monitor that continuously tracks the web for changes relevant to a query on a configurable schedule. Monitors detect new information as it's published and can deliver results via webhooks.
get_task_run
Check the status of a deep research task run and optionally retrieve its results when complete. Use the run ID returned by the **Deep Research** tool.
web_search
Perform AI-optimized web searches using natural language objectives and optional keyword queries. Returns ranked results with excerpts and source URLs. Supports three modes: **one-shot** for comprehensive results, **agentic** for concise token-efficient results in agentic loops, and **fast** for lower-latency results. At least one of `objective` or `searchQueries` must be provided.
enrich_findall
Add structured enrichment to a completed or running FindAll entity discovery run. Extracts additional fields from matched entities using a JSON schema you define. Enrichment runs asynchronously — results will be available when polling with the **Get FindAll Results** tool.
ingest_findall
Convert a natural language objective into structured FindAll parameters. Parses the objective into an entity type and match conditions that can be used with the **Find Entities** tool. Use this to auto-generate the entityType and matchConditions from a plain-English query.
extend_findall
Increase an existing FindAll run match limit to discover more entities using the same criteria and enrichments. The additional limit is an increment, rather than a replacement total.
cancel_findall
Stop an active entity discovery run to control further work and costs. Candidates already found remain available through Get FindAll Results.
get_findall_schema
Retrieve the objective, conditions, current match limit, generator, and configured enrichments of an existing FindAll run. Use this before extending a run or interpreting its candidate fields.
Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.
{"mcpServers": {"metorial": {"url": "<your-magic-mcp-url>"}}}
claude mcp add --transport http metorial <your-magic-mcp-url>
codex mcp add metorial --url <your-magic-mcp-url>codex mcp login metorial
One governed layer for every app your agents reach, not a separate connector per tool.
Perform AI-optimized web searches, extract content from URLs, run deep multi-step research tasks, and discover entities matching natural language criteria. Provides web-grounded chat completions compatible with OpenAI client libraries. Supports structured JSON output schemas, multiple processing tiers for cost/thoroughness trade-offs, and asynchronous task execution with polling or webhook-based completion tracking.
Common questions about connecting Parallel to AI agents with Metorial.