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Weavable

Persistent context layer for AI agents to connect and reason across business tools.

Source rating 5.0 (91) 1.9k views 1.9k/mo traffic 0 saves Paid
AI Context Layer Model Context Protocol MCP
More categories (5)
AI Agents Workflow automation Knowledge graph Token optimization Enterprise AI
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From $20 / month

Verdict

A quick read before you dig into the full page.

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Persistent context layer for AI agents to connect and reason across business tools
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You need a free plan with no credit card
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Paid · From $20 / month

Overview

Weavable is a persistent context layer designed for AI agents, connecting business tools like HubSpot, Jira, and Slack into a unified graph. Unlike standard Model Context Protocol (MCP) connections that provide point-in-time snapshots, Weavable maintains a continuous changelog and resolves entities across different platforms. This allows AI agents to reason more accurately with pre-processed, scoped, and ranked data, leading to significantly lower token usage and more reliable, deterministic outputs across real business workflows.

Weavable screenshot

Access & connections

Where you can use Weavable, and what it plugs into.

Platforms

Web

Integrations

HubSpot Slack Jira MCP

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Persistent work context via continuous changelog
  • Cross-tool entity resolution and relationship mapping
  • Single MCP endpoint for all connected tools
  • Deterministic data scoping and ranking
  • SOC2 Type II and HIPAA compliant security

FAQ 5

What is Weavable?
Weavable is a persistent context layer designed for AI agents, connecting business tools like HubSpot, Jira, and Slack into a unified graph. Unlike standard Model Context Protocol (MCP) connections that provide point-in-time snapshots, Weavable maintains a continuous changelog and resolves entities across different platforms. This allows AI agents to reason more accurately with pre-processed, scoped, and ranked data, leading to significantly lower token usage and more reliable, deterministic outputs across real business workflows.
How to use Weavable?
Users connect their existing tools via a single OAuth flow, define the specific projects or channels that matter for a workflow to set the data perimeter, and then plug the resulting single MCP endpoint into any AI client like Claude, Cursor, or ChatGPT.
How does Weavable differ from direct tool connections in ChatGPT or Claude?
Direct connections provide raw, disconnected API responses that the model must figure out every time. Weavable pre-builds relationships and tracks changes over time, giving the model a connected graph and specific scope to work with.
Is my company data used to train AI models?
No, Weavable explicitly states that your data is never used for training and is not shared or retained for that purpose.
Do I need to manage my own MCP server?
No, Weavable hosts the infrastructure. You connect via OAuth and receive a managed MCP endpoint to plug into your AI stack.
Weavable From $20 / month
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