Identify the framework behind the request
Start research with a precise framework match instead of an assumption.
Trigger
New WhatsApp Message Received
Polling trigger that monitors for new messages received in TimelinesAI WhatsApp chats.
Action
Resolve-library-id
Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'query-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.
Why this helps
Chat requests often use shorthand names that can map to several products or versions.
- Clarifies shorthand references
- Creates a reusable library identifier
- Improves downstream documentation queries
Setup
Build it in a few focused steps.
- 1Connect Timelinesai and Context7 MCP in the Notis portal.
- 2Create an automation for framework identification.
- 3Tell Notis to extract framework clues and resolve the best matching Context7 library ID.
- 4Select New WhatsApp Message Received as the trigger.
- 5Choose a report destination and test with a real shorthand request.
Questions about this workflow
Can it return multiple possible matches?
Yes. Ask Notis to report alternatives when the message is ambiguous.
Does it query documentation too?
This workflow resolves IDs only; pair it with a query workflow for documentation.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Timelinesai to Context7 MCP. A trigger fires from one place; an action lands in another.
Timelinesai triggers
Context7 MCP actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Query-docs
Retrieves and queries up-to-date documentation and code examples from Context7 for any programming library or framework. You must call 'resolve-library-id' first to obtain the exact Context7-compatible library ID required to use this tool, UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best information you have.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Resolve-library-id
Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'query-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.
New WhatsApp Message Received
Polling trigger that monitors for new messages received in TimelinesAI WhatsApp chats.
Connect any two apps with Notis in the middle.
Timelinesai and Context7 MCP, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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