Parse MCP

Improve AI visibility research with Parse. Find how brands appear across AI-search prompts, citation sources, niches, and competitors, then turn that data into marketer-ready actions. Use the server to discover relevant brands, audit a brand's visibility profile, compare competitors, inspect high-intent prompts, identify source opportunities, and build 30-day visibility plans. Parse returns concise research briefs, fetchable result IDs, public score summaries, top prompts, top citation domains, related products, and dataset freshness signals so marketers can move from raw AI visibility data to prioritized SEO, content, PR, and listing work.

Hosted MCP endpoint: https://mcp.parse.gl/mcp

Install

The easiest install path is the published npm shim:

npx -y -p @parse-gl/mcp parse-mcp

That command starts a local stdio bridge which proxies to the hosted Parse MCP server at https://mcp.parse.gl/mcp.

For LLM/agent-focused setup notes, see llms-install.md.

What Is Included

• mcp-worker/: Cloudflare Worker source for the hosted Streamable HTTP MCP server.
• npm/: parse-gl-mcp npm shim that runs the hosted server through package-local mcp-remote.
• mcp-bundle/: MCPB bundle metadata and node entry point.

Tools

• parse_search: Search brands, organic AI prompts, niches, and citation sources.
• parse_get_brand: Fetch a marketer-readable AI visibility brief for a brand.
• parse_get_prompt: Fetch one public organic prompt.
• parse_get_stats: Summarize public Parse dataset scale and freshness.
• search and fetch: Compatibility aliases for clients that expect those names.

Resources

• parse://showcase-brands
• parse://niches
• parse://glossary

Prompts

• compare-brands
• audit-my-brand
• industry-leaders
• source-opportunities
• prompt-set-planner
• ai-visibility-30-day-plan