MCP limitations
Know what the Cavuno MCP sandbox can and cannot do before you automate a job board workflow.
A
JThe Cavuno MCP server is a JSON-oriented proxy to the Operator API. It is intentionally not a general-purpose browser, scraper, filesystem, scheduler, or integration platform.
Sandbox boundaries
- Outbound
fetchis blocked insidesearchandexecute. executecan call onlycavuno.request.- Every call starts in a fresh isolate with no persistent state.
- Environment variables and the local filesystem are unavailable.
executecan send multipart file uploads with aFormDatabody, but it cannot read the local filesystem. The bytes must already be available inside the invocation, and callers must letcavuno.requestgenerate the multipartContent-Typeboundary.- CPU and wall-clock time are bounded, so long-running workflows need an external orchestrator.
Product boundaries
An MCP client decides how prompts, approvals, retries, schedules, and other tool connections work. Cavuno does not become a native Ahrefs, Semrush, Firecrawl, ATS, or newsletter integration merely because the same agent can access both systems. Google Search Console is an explicit native exception when it is connected for the Board: MCP can run finalized Search Analytics and indexed URL Inspection reads, but not live tests or indexing requests.
Use the right surface
Use MCP for interactive agent work, the CLI for deterministic local and CI tasks, and the REST API for application code. The MCP cookbook shows the handoff explicitly when another system is involved.