Case Study
Bluebear AI Agent: Docker based MCP Chatbot + OpenClaude implementation
We deliver a production ready AI agent that integrates your data sources and APIs, orchestrated through MCP Chatbot and OpenClaude, and shipped as a hardened Docker deployment your team can run on day one.
Built for integration
Connect your CRM, data warehouse, ticketing, and internal APIs in days, not months.
Enterprise ready
Containerized delivery with access controls, audit trails, and isolated environments.
Implementation included
We design prompts, tools, and guardrails, then deliver a complete rollout plan.
Challenge
Teams wanted a trusted AI agent that could operate across data silos and API systems while staying compliant with security, logging, and operational requirements.
They needed fast time to value without risking unstable integrations or vendor lock in.
Approach
- Audit existing data sources and API endpoints
- Map workflows to MCP Chatbot tools and permissions
- Design OpenClaude task graphs and prompt libraries
- Ship a dockerized agent with observability and rollback
Capabilities delivered
API orchestration
Call internal and external APIs with routing, retries, and policy based access control.
Data integration
Secure connectors for databases, warehouses, files, and knowledge systems.
Tool governance
Scopes, approvals, and action logging for every tool call and workflow step.
Workflow automation
Automate support triage, reporting, and operations with reliable task graphs.
Client onboarding
Implementation playbooks, training, and handoff to internal teams.
Deployment options
Run on customer infrastructure, private cloud, or hybrid environments.
Implementation and delivery
- Discovery workshop and system access mapping
- API integration plan and data source onboarding
- MCP Chatbot tool configuration and permissions
- OpenClaude prompt libraries and testing
- Docker build, deployment, and monitoring setup
- Training, documentation, and ongoing support
Results and value
Faster time to value for AI initiatives, safer integrations across data systems, and a repeatable rollout that scales across client teams.