Weavable
Context layer for AI agentsConnect tools and give agents real context
Highlights
What you can do with it
- Give a sales agent live context from HubSpot, Jira and Slack
- Keep code, project and channel context aligned for a dev team
- Pull multiple built-in informations into one background for a research project
How to use it
- 1 Set up the context for your AI stack
- 2 Run one OAuth process to connect about 20 tools
- 3 Select the tools, projects, channels and pipelines in scope
- 4 Let Weavable build and maintain the relationship graph
- 5 Connect the MCP endpoint to Claude, Cursor, ChatGPT or another agent and share it
Who it is for
Pros
- One OAuth flow replaces building and hosting many integrations
- No server hosting or credential management on your side
- Context is kept current automatically rather than re-pasted each time
- Free to start with no lock-in, since you can cancel any time
Limitations
- Free access is the entry point, and paid terms are not published on the page
- Token reduction and evaluation ratings are vendor claims, not independently verified here
- Context quality depends on how well you scope the connected tools and permissions
What Weavable is
Weavable describes itself as a context layer between your AI stack and your agents. The problem it targets is familiar: an agent gives a vague answer because it has no idea what is actually happening in your tools. Weavable fixes that by connecting the tools that matter, through a single OAuth process that links roughly 20 tools in a few minutes with no server hosting and no credential management. You then define the scope once, choosing the tools, projects, channels and pipelines that matter, and Weavable builds a relationship graph that tracks cross-tool entities and keeps the context current before any query runs. It exposes an MCP endpoint you can use from Claude, Cursor, ChatGPT or any agent, and share with your team. You can start for free and cancel at any time.
What you can do with it
- Connect around 20 tools through one OAuth process
- Define the context scope once instead of re-pasting background each time
- Keep a relationship graph current across tools and projects
- Expose that context to any agent through an MCP endpoint
- Share the same context with a team so answers stay consistent
Who it is for
- Enterprise teams whose AI answers are limited by missing working context
- Developers wiring agents into an existing tool stack
- Data analysts who need accurate answers drawn from many sources
- Teams that want one maintained context instead of manual briefs
What to watch out for
Free access is the entry point and paid terms are not published, so do not assume the whole product stays free. The token reduction figure and the evaluation preference rating are vendor claims rather than results verified on this page, so test them against your own workload before you rely on them. And context quality depends entirely on how well you scope the connected tools and their permissions: connect everything with loose access and you get noise rather than signal-free, reliable answers.
FAQ
Is Weavable free?
Users can start using it for free and cancel at any time. Paid terms are not published on the page.
How many tools can I connect?
The vendor says about 20 tools can be connected within a few minutes through one OAuth process.
Do I need to run a server?
No. The vendor states there is no server hosting and no credential management required.
Which AI clients work with it?
It provides an MCP endpoint usable in Claude, Cursor, ChatGPT or any agent, and it can be shared with a team.
Why it is free
What the official page says： for free
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
