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Documentation Index

Fetch the complete documentation index at: https://docs.weavable.ai/llms.txt

Use this file to discover all available pages before exploring further.

Contexts are how Weavable knows what data to reason from — a focused slice of your work data that you query from your AI stack. Different jobs need different data, so you build a context per job: one for renewals, one for support themes, one for engineering activity.

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Create a context

Just describe what you need, the same way you’d prompt any AI. For example:
Monitor deal pipeline progress and customer engagement activities using HubSpot and Zendesk support tickets.
Weavable detects the relevant data sources from your connected apps and walks you through three steps:
1

Open the context creation page

Go to the context creation page.
2

Describe what you want to create

On the What do you want to create? screen, type a natural-language description of the context.Prefer this to Or create manually unless you already know exactly which data sources you want.
3

Confirm the apps

Weavable suggests apps based on your description. Confirm them as-is, swap them out, or pick from the full list.
4

Confirm the data sources

Within each app, Weavable may pre-select specific data sources from your description. Confirm them as-is, swap them out, or pick your own — for example, a particular project, board, channel, repository, or pipeline.
Always point to data you actually care about, not everything you have access to. Narrower contexts give faster, more accurate answers.
Your context is now ready. Primary data sources are set, and Weavable has prefilled instructions for how to use the data.

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Edit a context

Open the context to change its name, instructions, or data sources. Each context has two kinds of data sources:
  • Primary data sources — the main signal the context is built around. These drive what’s in scope when the context is queried.
  • Enrichment data sources — additional context that gets pulled in to make answers richer (people, related items, etc.).

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Test a context

Use Open Test Playground to preview what the context can already answer. It’s a good proxy for the kind of depth and detail you’ll get when you query the context through your AI stack via MCP.

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Share a context

Share a context with teammates already on Weavable so they get access to the same focused slice of data — without having to connect apps or build their own context. From the context, open Share This Context and choose:
  • Selected people in your organization — share with specific teammates by email
  • Share with everyone in your organization — share with everyone on your Weavable workspace
Think of it as giving the right people exactly what they need, without exposing anything they shouldn’t see.
Sharing a context is different from sharing a connection. A shared context lets others query the same scoped data; a shared connection lets others build their own contexts on top of your OAuth credentials.

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Connect to your AI

When you’re ready, hit Connect MCP on the context to get your endpoint and per-client setup instructions for Claude, Claude Code, ChatGPT, VS Code, and other clients.