Parse

Model Context Protocol

Parse MCP

Ask your AI assistant what Parse knows about a brand.

Open MCP endpoint Download MCPB

MCP 2025-06-18Streamable HTTPPublic lookupWorkspace access

Connect

Add the endpoint to your MCP client. Public lookups need no account. Sign in for workspace data available on your plan.

Claude Code

claude mcp add --transport http parse https://mcp.parse.gl/mcp

Cursor / ChatGPT

https://mcp.parse.gl/mcp

Tools

These examples read the public index. Signed-in tools also show tasks, recent changes and workspace evidence. With write consent and an admin’s approval, your assistant can save drafts, update tasks, record corrections and change your preferences. It asks before making changes.

parse_search

function parse_search(args: {
  query: string
  types?: Array<"brands" | "prompts" | "niches">
  limit?: number  // 1 to 10
}): SearchResult

Find brands, questions and markets.

Use first when the user names a brand, category, or AI visibility question. Returns a ranked mix across the public index types.

Sample call

curl -sS https://mcp.parse.gl/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  --data '{"jsonrpc":"2.0","id":1,"method":"tools/call",
    "params":{"name":"parse_search",
    "arguments":{"query":"stripe","types":["brands","prompts"],"limit":2}}}'

Sample output

Parse research results for "stripe"

Brands
- Stripe — stripe.com
  Tool: parse_get_brand slug_or_id="stripe-com"
  Metric hint: relevance 100%

Prompts
- Who offers merchant cash advances based on stripe sales volume?
  Tool: parse_get_prompt slug="who-offers-merchant-cash-advances-based-on-stripe..."
  Metric hint: relevance 12%

Next step: call parse_get_brand or parse_get_prompt for the most relevant result,
or rerun search with narrowed types.

parse_get_brand

function parse_get_brand(args: {
  slug_or_id: string
}): BrandBrief

Get a brand’s AI visibility summary.

Strengths, weak spots, top prompts, citation sources, related brands, and next research questions.

Sample call

curl -sS https://mcp.parse.gl/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  --data '{"jsonrpc":"2.0","id":1,"method":"tools/call",
    "params":{"name":"parse_get_brand",
    "arguments":{"slug_or_id":"stripe-com"}}}'

Sample output

Stripe
Domain: stripe.com
Latest data: 2026-04-24

AI visibility summary
- Strength: 96/100
- Reach: 77/100
- Authority: 73/100
- Coverage: 272 prompts and 78 sources

Strengths
- Strongest score is Strength at 96/100.
- Top source: stripe.com (64 citations).

Weak spots and data gaps
- Lowest score is Authority at 73/100.

Top prompts to inspect
- "What is the best payment processor?" — visibility 80%
- "Best developer-friendly payment API?" — visibility 80%

Top citation sources
- stripe.com — 35% citation share across 35 prompts
- reddit.com — 8% citation share across 11 prompts
- docs.stripe.com — 6% citation share across 5 prompts

Related products to research next
- Link (brand:stripe-com-21)
- Stripe Atlas (brand:stripe-com-5)
- Stripe Billing (brand:stripe-com-2)

parse_get_prompt

function parse_get_prompt(args: {
  slug: string
}): PromptDetail

Fetch one organic AI-search prompt by slug.

Use when the user wants to inspect the exact AI-search question behind a search result.

Sample call

curl -sS https://mcp.parse.gl/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  --data '{"jsonrpc":"2.0","id":1,"method":"tools/call",
    "params":{"name":"parse_get_prompt",
    "arguments":{"slug":"who-offers-merchant-cash-advances-..."}}}'

Sample output

Public AI-search prompt
Who offers merchant cash advances based on stripe sales volume?
URL: https://parse.gl/prompts/p/who-offers-merchant-cash-advances...

How to use it
- Search this prompt's topic for brands and rankings.
- Read the relevant brand profiles and rankings before
  comparing visibility.

parse_get_stats

function parse_get_stats(): DatasetStats

Check data coverage and the latest update.

Tracked brands, prompts, citation observations, and last update.

Sample call

curl -sS https://mcp.parse.gl/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H 'MCP-Protocol-Version: 2025-06-18' \
  --data '{"jsonrpc":"2.0","id":1,"method":"tools/call",
    "params":{"name":"parse_get_stats","arguments":{}}}'

Sample output

Parse public dataset
- Brands tracked: ~580K
- Prompts indexed: ~16K
- AI responses analyzed: ~4.6M
- Citation observations: ~56M
- Last updated: date of the latest daily snapshot

What this means
- Brands are public company/product profiles Parse can resolve.
- Questions represent buying situations in which AI can name
  or compare brands.
- Citations are source/domain observations from AI answers.

Try these

Once Parse MCP is connected, ask your assistant directly.

Look up a brand

Pull Snowflake's AI-visibility brief from Parse. Strengths, weak spots, top prompts, citation sources.

Compare brands

Compare Notion and Asana's citation share and top prompts. Which is gaining mindshare in AI search?

Explore questions

Find prompts about payment APIs, then inspect the strongest brand profiles and citation context.

Explore a market

Top five brands AI recommends in vertical SaaS HR tools. Then inspect each brand with parse_get_brand.

Support

Endpoint issues, schema questions, or directory submissions: support@parse.gl.

Privacy details: see parse.gl/privacy.

{"@context":"https://schema.org","@type":"Organization","@id":"https://parse.gl/#organization","name":"Parse","alternateName":"Parse.gl","url":"https://parse.gl/","logo":"https://parse.gl/logo-knowledge-panel.png"}
{"@context":"https://schema.org","@type":"WebSite","@id":"https://parse.gl/#website","name":"Parse","alternateName":"Parse.gl","description":"Parse asks ChatGPT and Google AI Mode your buyers' questions and shows you how to get mentioned more.","url":"https://parse.gl/","potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://parse.gl/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}