The work.forwardeployed/forward-deployed MCP server provides access to research, strategy, financial models, and decks. Content is “priced and approved per job,” indicating that outputs are associated with job-specific approval and pricing details. It is designed to surface this work inside an AI assistant.
🛠️ Key Features
- Research artifacts
- Strategy materials
- Financial models
- Decks
- Job-level pricing and approval
🚀 Use Cases
- Preparing strategy deliverables with supporting research
- Generating or reusing financial models for specific engagements
- Providing deck content aligned to an approved, priced job
⚡ Developer Benefits
- Centralizes job-approved research, strategy, models, and decks for AI assistant workflows
- Supports integration where job-specific pricing/approval matters
⚠️ Limitations
- No additional capabilities (tools, topics, or documented interfaces) are provided in the available source data.