Crawdar Business Research

Endpoint

Hosted endpoint · transport streamable-http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

Tools

• scan_review_pain_points — Scan a named business or discover up to three businesses for recent recurring complaints. Returns individually sourced reviews and possible technical solutions. Coverage is sampled; unavailable reviews never mean no problems. Five scans per day. Google reviews require a configured provider.
• research_businesses — Use for a quick synchronous search when the user supplies one natural-language brief and can wait for results in the current tool call. For durable progress, retry, export, or large agent workflows, use start_lead_search instead.
• search_businesses — Use for a quick synchronous search when target, geography, and qualification fields are already structured. Use research_businesses for a plain-language brief, or start_lead_search for durable asynchronous work.
• sandbox_businesses — Return deterministic fictional businesses without consuming provider capacity. Use this to test schemas, clients, and agent loops.
• start_lead_search — Use for the recommended durable asynchronous workflow. Creates a private queued search job and returns a job id plus jobToken for progress polling, cursor paging, refinement, retry, cancellation, and CSV or JSON export.
• get_lead_search — Read job status or one cursor-paginated result page. Keep jobToken private and pass nextCursor back unchanged.
• refine_lead_search — Create a new private search job by changing the brief or criteria of a completed job. The original job stays unchanged.
• retry_lead_search — Create a replacement job when a prior job failed or exceeded its execution window. The original job stays available for audit.
• cancel_lead_search — Cancel a queued or running search job. Completed and failed jobs remain immutable.
• explain_crawdar — Get result semantics, limits, interface URLs, and safe operating guidance. This tool does not consume a search.
• list_opportunity_workspaces — List research workspaces owned by your verified account. Requires an account-linked API key or signed-in identity; no guest access or public Atlas.
• create_opportunity_workspace — Save a research thesis workspace and declared capabilities. This does not run research or establish demand. Use idempotencyKey to safely retry creation.
• get_opportunity_workspace — Get the current workspace and revision before updating. Evidence, contradictory findings, manually recorded validation milestones, and monitor configuration remain private to the account.
• update_opportunity_workspace — Apply one validated command with the latest revision. A 409 means re-read before retrying. Public signals never establish payment or purchase intent; commercial milestones require separately supplied attributable evidence. Does not contact businesses or execute delivery.
• research_opportunity_workspace — Run a bounded public review scan of up to three businesses and retain sourced findings in your private workspace. Requires current revision. Sampled complaints are investigation leads, not owner-confirmed needs or purchase proof. Uses normal provider limits; do not launch duplicate concurrent scans.
• search_problem_graph — Read Crawdar editorial research, explicitly contributed observations, and website-control-confirmed owner demand across markets. Editorial research does not mean the featured business joined or confirmed a problem. Includes source URLs, dates, support and contradiction. Private workspaces are never included automatically. Contributions and owner reports are not independently verified facts or purchase intent.
• browse_owner_demands — Browse public business requests with current website-control proof. A posted request is owner-reported need, not a funded contract, verified budget, or permission to contact outside the application flow.
• browse_service_providers — Read provider-declared capabilities, portfolio URLs, markets, and capacity. These are self-reported and do not imply a skill or performance endorsement.
• match_demand_providers — Rank one page of up to 50 published providers by declared skill labels and market fit. Public consented outcome context remains separate from provider ratings. Use nextCursor for more candidates; missing data is unknown.
• get_opportunity_learning — Read your private evidence funnel and failure feedback plus sufficiently diverse, jointly consented public outcome aggregates. Requires verified account identity or linked API key. Rates describe recorded cohorts and do not prove causal effectiveness or future results.
• create_owner_demand_draft — Create a private draft request. Publishing is a separate owner-controlled action requiring website control and explicit review of public fields. This tool never publishes, contacts providers, creates a contract, or moves money.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

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