AgentContext
Give AI agents comprehensive context from across your data stack
- Brand
- Fivetran
- Category
- AI
- Primary Subcategory
- Enterprise Knowledge Search & AI Context Layer
Integration details
Description
Fivetran's Agent Context MCP provides AI agents the full breadth of business context needed to answer questions and take action, reliably. Built on Fivetran's open context layer, it infers and curates context from every enterprise systems — including data sources, schemas, concepts, knowledge bases, and analytical metadata — and exposes it through the Model Context Protocol. Agent Context MCP powers natural-language search, data-aware assistants, coding workflows, and custom AI applications. Its standard MCP interface makes it easy to bring rich, trusted, and comprehensive business context into the AI tools teams already use, including Claude, ChatGPT, coding agents, and custom applications.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Enterprise Knowledge Search & AI Context Layer
- Secondary Subcategories
- None listed
- Brand
- Fivetran
- Access
- Account required
- First tracked
- 2026-07-13
- Tool count
- 8
- Market
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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What discovery looks like

Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competing in Claude Enterprise Knowledge Search & AI Context Layer
View Category8 tools agents can invoke
AgentContext Claude Connector FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve AgentContext's Claude Connector discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are AgentContext alternatives on Claude?
As of 2026-11-02, AgentContext competes with Google Drive, Atlassian MCP, Notion, Slack, Linear, Superhuman Docs, Microsoft 365, NetDocuments and 95 more in Claude Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.