v0.5.3 — Reframe: The FinOps MCP server
v0.5.3 — Positioning: The FinOps MCP server
No code changes. Pure positioning + metadata update.
What changed
- README now leads with "The FinOps MCP server" instead of "MCP server that compares cloud pricing." Same product — sharper framing.
- Replaced the "Ask things like" examples with four concrete FinOps decision queries:
- Reserved Instance break-even on 6× t3.2xlarge — what does the AI call, what payback period comes back
- 5 TB cold-storage migration with exit-egress + payback period
- 50 TB/month egress arbitrage — OCI's 12× moat
- Full 3-tier SaaS workload — chains 4 tools (
compare_workload+compare_egress+ multi-AZ + commitment)
- PyPI metadata:
descriptionnow leads with FinOps decision-makingkeywordsexpanded from 7 generic terms to 14 targeted ones (finops,cost,tco,oci,reserved-instances,savings-plan,claude,copilot,cursor) — improves PyPI search ranking on FinOps-adjacent queries
Why this is its own release
Same code, but the PyPI listing is the first thing FinOps practitioners see when they search. Aligning the description + keywords with the audience matters for organic discovery via PyPI search — and it makes the Glama "Finance" categorization consistent across our owned channels.
Upgrade
No reason to upgrade if you're on v0.5.2 — there are no behavior changes. v0.5.3 is purely for new users discovering cloudprice-mcp through PyPI search.
pip install --upgrade cloudprice-mcp # picks up new description in `pip show`Background
The FinOps reframe was driven by real-world usage: two queries today through Claude / Copilot via the MCP layer produced (a) a Reserved Instance break-even analysis with month-by-month payback math, and (b) a "don't move this storage" recommendation with a 35-month payback that killed a bad migration before it started. That's FinOps work — not just price lookups. We're naming the product accordingly.
Coming in v0.6 as a follow-up: dedicated FinOps decision tools (assess_migration, optimize_commitment, compare_total_cost_of_ownership, find_egress_arbitrage) that bake the analysis primitives into single-call tools instead of leaving them to AI chaining.
Links
- PyPI: https://pypi.org/project/cloudprice-mcp/0.5.3/
- Glama: https://glama.ai/mcp/servers/alialbaker/cloudprice-mcp (auto-published v0.5.2; will pick up v0.5.3 on next build)