Clear up ambiguous package names automatically
Give downstream research a clear choice when package references are unclear.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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
Similar package names can send an automated process toward unrelated documentation.
- Surfaces competing matches
- Preserves the original input
- Makes uncertainty visible before querying docs
Setup
Build it in a few focused steps.
- 1Connect Timelinesai and Context7 MCP once in Notis.
- 2Create a package disambiguation automation.
- 3Tell Notis to resolve the webhook package reference and return the strongest match plus alternatives when needed.
- 4Select a Notis webhook trigger.
- 5Choose a report channel and test with an ambiguous package payload.
Questions about this workflow
Does it silently pick one match?
You can instruct it to show alternatives whenever confidence is low.
Can it use a version hint?
Yes. Include the version in the webhook payload or automation instruction.
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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