ContextForks bridges your enterprise systems — ERP, CRM, data, and files — to AI agents and applications through MCP, ontology, and skills. Delivering semantic search and app acceleration as the two core pillars.
Most enterprise AI fails because agents can't understand business context. ContextForks solves this with three composable bridge layers that connect your systems to agent-ready context.
ContextForks exposes your enterprise systems through the Model Context Protocol, giving AI agents structured, permission-controlled access to tools and data without complex custom integrations.
Industry-specific and app-specific ontologies ground your data in business meaning. Agents reason correctly about your domain — what a "customer", "contract", or "order" means in your context.
Skills package business logic as reusable add-ons — markdown files, prompts, and workflows — that agents invoke reliably across any model or framework. Build once, reuse everywhere.
A working example of context-aware orchestration. The customer sees a simple booking flow — behind the scenes, ContextForks queries the enterprise CRM, matches the right specialist, and locks the appointment in milliseconds.
A customer browses inventory and books a test drive in seconds. Behind the scenes, ContextForks reads the dealer's Salesforce, matches the ideal sales consultant by specialty and availability, and confirms the appointment — grounded in real business context, not guesswork.
ContextForks is the only platform that bridges enterprise sources to agentic capabilities through MCP, ontology, and skills in a single composable layer.
Connect ERP, CRM, data warehouses, and file systems with native connectors. No data movement — access and context are delivered where agents need them.
Vector-based and graph-aware semantic search across all enterprise sources. Agents retrieve the right context — not just keyword matches — from OpenSearch or S3-backed indexes.
Pre-built patterns and reusable skill libraries accelerate agentic application development by 3× — from copilots and workflow automations to full agent-powered apps.
Define, manage, and evolve industry-specific ontologies that give agents accurate business meaning. Supports JSON-based models with graph-aware inference.
Role-based access controls, permission-scoped MCP tools, and full audit trails ensure agents act safely — within the boundaries your enterprise requires.
Native integration with the Strands SDK lets you deploy ContextForks-powered agents to any model or orchestration framework without rewriting your context layer.
Every ContextForks deployment is built on two foundational capabilities that make enterprise AI reliable, fast, and meaningful.
Learn more →Reusable skill libraries, pre-built ontology templates, and workflow patterns that cut enterprise agentic app development from months to days.
Vector + graph-aware retrieval across all your sources. Agents find the right context — not just the nearest keyword — for every query.
Standardized agent-to-system access through the Model Context Protocol — one interface for all your enterprise tools and data.
Package any business capability as a reusable skill — markdown, prompts, or code — that any agent can invoke reliably across your enterprise.
ContextForks delivers agentic AI solutions for industries where data accuracy, compliance, and business context are non-negotiable.
Compliant agentic workflows for risk, compliance, and client advisory across ERP and CRM data.
Supply chain visibility and operations copilots grounded in real-time ERP and sensor context.
Research acceleration and regulatory workflows with domain ontologies for clinical and pharma data.
Secure agentic platforms for mission-critical decision support with full audit and access controls.
See how ContextForks bridges your systems to agentic capabilities with MCP, ontology, and skills.
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