aibvf-mcp
Server Details
AI BVF: score AI portfolios Stop/Fix/Accelerate with decision confidence and pace-layer drag.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Craig-Horton/ai-bvf
- GitHub Stars
- 0
- Server Listing
- aibvf-mcp
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Tool Definition Quality
Average 4.8/5 across 9 of 9 tools scored.
Each tool targets a distinct operation: cost calculation, process diagnosis, benchmark lookup, readiness inference, taxonomy listing, improvement recommendations, single initiative scoring, portfolio scoring, and portfolio validation. There is no overlap, and the descriptions clearly differentiate between similar tools like score_initiative and score_portfolio.
All tool names consistently follow the verb_noun pattern in snake_case, e.g., calculate_pace_layer_drag, diagnose_process, score_initiative. There is no mixing of conventions or inconsistent verb forms, making the naming predictable and easy to understand.
With 9 tools, the server covers the essential functions of the AI BVF framework without being excessive or sparse. Each tool serves a well-defined purpose, and the count feels appropriate for the domain of business value assessment and process improvement.
The toolset covers core workflows: scoring, diagnosis, drag calculation, benchmarking, readiness inference, taxonomy help, and portfolio management. Minor gaps exist, such as no tool for creating or editing a portfolio (only validating and scoring), but the documented workflow using validate_portfolio and score_portfolio effectively covers portfolio analysis.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
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