Integrations
Use Contextfy with your agent runtime
Contextfy does not compete with Claude, ChatGPT or Copilot. It prepares and governs the context those agents consume, via API, MCP and connectors. Use whichever runtime fits each case.
Context for agents Amazon Bedrock Agents with enterprise data, sources and audit Give your Amazon Bedrock Agents access to company knowledge without opening the whole drive. Contextfy serves only approved sources, with scope per collection, safe refusal when context is missing, and a per-interaction trace, consumable via REST or MCP.
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Context for agents Claude with internal data, sources and permissions Use Claude with your company documents, knowledge bases and systems without giving up trusted sources, controlled scope and traceability. Contextfy prepares the governed context Claude consumes via MCP or API.
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Context for agents CrewAI with a governed enterprise knowledge base Give your CrewAI agent teams access to company documents, knowledge bases and systems with traceable sources, scope per agent and audit. Contextfy prepares the context each agent in the crew queries.
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Context for agents Dify with governed enterprise data Connect the workflows and agents you build in Dify to company knowledge with approved sources, per-collection scope, permissions and traceable answers. Contextfy prepares and governs the context your app consumes, over REST API or MCP.
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Context for agents Flowise with governed enterprise context, scope and audit Build flows and agents in Flowise on top of company documents, knowledge bases and systems without giving up approved sources, scope per collection and an evidence trail. The governed context layer prepares what each node queries, delivered via REST or MCP.
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Context for agents Hermes with governed enterprise context, without lock-in Use Hermes as your agent runtime and let Contextfy govern the context it consumes: approved sources, scope per collection, permissions and a per-interaction trail, via REST and MCP. Start a working agent without locking your company into a stack: the context stays the same if you later adopt Claude, OpenAI Agents, Copilot Studio or LangGraph.
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Context for agents LangGraph with corporate sources, scope and audit Feed LangGraph flows with versioned context, permissions and traceable sources. You model the graph; Contextfy governs the corporate context each node queries — via API or MCP.
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Context for agents Microsoft Copilot Studio with context and data governance Copilot Studio builds and deploys agents; the challenge is governing what they access. Contextfy prepares and governs those agents’ context — trusted sources, scope per team and an audit trail for every query.
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Context for agents n8n with company data and governed context Run n8n workflows and AI agents with company documents, knowledge bases and systems without giving up trusted sources, scope and audit. Contextfy delivers the governed context your flows consume via API or MCP.
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Context for agents OpenAI Agents with corporate data, sources and audit Connect agents in the OpenAI ecosystem to company documents, knowledge bases and systems with traceable sources, scope per agent and audit. Contextfy prepares the context the agent’s tools query.
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Context for agents OpenClaw with corporate context, scope and audit Use OpenClaw with company documents, knowledge bases and systems without giving up traceable sources, controlled scope and audit. Contextfy prepares the governed context the agents query via API or MCP.
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Context for agents Paperclip with governed enterprise data Keep Paperclip as your automation tool and let Contextfy govern the context it consumes: approved sources, per-collection scope, inherited permissions and a per-interaction trail, served over /v1/search, /v1/ask and MCP. You keep the runtime; the knowledge becomes trustworthy and auditable.
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Context for agents Semantic Kernel with internal company data, scope and an audit trail Use Microsoft Semantic Kernel to orchestrate plugins and agents while keeping corporate context under control: approved sources, scope per collection, permissions and evidence per interaction. You keep the SDK; Contextfy governs the knowledge it consumes, over REST or MCP.
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Context for agents Vertex AI Agents with approved sources, scope and audit Put agents built on Google Cloud Vertex AI into production on top of trustworthy knowledge. You use Agent Builder and the Vertex runtime; Contextfy delivers the corporate context with approved sources, permissions and traceability, consumed via REST, MCP or connectors.
See integration