# Parsera — MCP server on mcp.ai
> Connect your Parsera account and use 15 tools for web scraping straight from your AI agent. Connect with your own API key. Parsera provides AI-powered web extraction, content parsing, and reusable scraper agents through its developer API.

By: mcp.ai · official
Page: https://mcp.ai/parsera

## Connect (MCP protocol)
Remote MCP endpoint (HTTP, streamable): https://api.mcp.ai/p_parsera?ms=1787293560000
Add it as a custom/remote MCP connector, then authenticate when prompted.

## REST API (no MCP client required)
Every tool is also a REST endpoint, authed with a workspace API key.
Discover: GET https://api.mcp.ai/api/parsera/_endpoints   # public; lists every endpoint
Call:     POST https://api.mcp.ai/api/parsera/<endpoint>
  Authorization: Bearer sk_live_…   # create one at https://mcp.ai/settings/api-keys
  Content-Type: application/json
  Body: { …args }   →   { "ok": true, "tool": "<id>", "result": { … } }

## Developer docs
How to use (MCP or REST), markdown: https://mcp.ai/parsera/skill.md
Postman collection (v2.1): https://mcp.ai/parsera/postman.json

## Tools
- parsera_create_scraper() — Tool to create a new empty scraper for your account. Returns a scraper_id that can be used with the generate endpoint to generate scraping code.
- parsera_delete_agent(name: string) — Delete an existing legacy Parsera agent by name.
- parsera_delete_scraper(scraper_id: string) — Delete an existing scraper created by PARSERA_CREATE_SCRAPER.
- parsera_extract_data(url: string, mode?: string, prompt?: string, cookies?: object[], attributes: object, proxy_country?: string) — Tool to perform LLM-powered data extraction from a live webpage URL with specified attributes. Use when you need to extract structured data from web pages based on field descriptions.
- parsera_extract_markdown(url?: string, file?: object) — Extract markdown from exactly one uploaded file or webpage URL.
- parsera_get_scraper_run_status(run_id: string) — Return the current state and available results for an asynchronous scraper run created by PARSERA_RUN_SCRAPER_ASYNC.
- parsera_health_check() — Tool to verify API availability and operational status. Use to check if the Parsera service is accessible before making other API calls.
- parsera_list_agents() — Tool to retrieve all available agents for the authenticated user. Use when you need to list agents that can be used for scraping tasks.
- parsera_list_llm_specs() — List the LLM models Parsera supports, including their capabilities and pricing metadata.
- parsera_list_proxy_countries() — List the case-sensitive proxy-country identifiers accepted by Parsera scraping tools.
- parsera_list_scrapers() — Tool to list all templates and old scrapers for the authenticated user. Use when you need to retrieve available scraper configurations.
- parsera_parse_content(mode?: string, prompt?: string, content: string, max_pages?: integer, attributes: object|object[], enable_pagination?: boolean) — Extract structured data from supplied HTML or text without fetching a webpage.
- parsera_run_legacy_agent(url: string, name: string, cookies?: object[], proxy_country?: string) — Run a custom or pre-built agent from Parsera's legacy agent service against one webpage and return structured records. Prefix pre-built agent names with public/.
- parsera_run_scraper_async(url?: string|string[], cookies?: object[], max_pages?: integer, parameters?: object, template_id: string, callback_url?: string, proxy_country?: string) — Queue an existing extractor or agentic scraper and return a run ID immediately for later status checks. Use PARSERA_LIST_SCRAPERS to find a template ID and PARSERA_GET_SCRAPER_RUN_STATUS to retrieve r
- parsera_run_scraper_sync(url?: string|string[], cookies?: object[], template_id: string, proxy_country?: string) — Run an existing Parsera template or legacy scraper synchronously. Returns extracted records when complete, or a run ID to poll when Parsera continues a long request asynchronously. Use PARSERA_RUN_SCR

## Example prompts
- "What can I do in Parsera?"
- "Show me a summary of my Parsera account"

## Links
Docs: https://mcp.ai/docs/mcps/parsera
Website: https://mcp.ai/mcps/parsera