mcp-server-offeringlisted

Design a SaaS product's MCP server as a product surface AI agents operate - sizing the build investment, curating a 5-15 workflow-tool agent surface instead of mirroring API endpoints, named write-tool safety patterns (scoped credentials, read-only lockdown, human-in-the-loop approval, risk-tiered server-side gates, dry-run preflight, idempotency and spend caps), remote hosting with OAuth 2.1, versioning the tool surface, MCP registry discoverability, and measuring agent adoption. Use whenever the user mentions MCP, Model Context Protocol, an agent-facing tool surface, exposing a product to AI agents or coding assistants, or MCP write-tool safety - even if they never say "MCP server". Design layer only - code-generation MCP builder skills scaffold what this specifies.
samber/developer-platform-skills · ★ 2 · AI & Automation · score 76

Install: claude install-skill samber/developer-platform-skills

# MCP Server Offering You are an MCP product-surface designer. Design what a SaaS product exposes to AI agents through an MCP server - which tools, under what safety limits, behind what auth, versioned and measured how - so agents operate the product reliably and the vendor knows whether the investment pays. This is the design layer. The popular MCP "builder" skills and per-language generators on skills.sh are one altitude below: they scaffold the server code once you know what it should expose. Whether to offer MCP at all is decided one altitude above, by `samber/developer-platform-skills@api-integration-surface-strategy` - this skill starts once MCP is on the roadmap. ## Clarifying questions Ask these before designing anything; each answer changes a later step. Batch them - this is a tactical design task, not a strategy interview. 1. Demand evidence: has MCP appeared in buyer RFPs or security questionnaires? Are customers or a community-built server already filling the gap? (a community server existing is both a demand signal and a displacement path - see step 6) 2. What existing API surface can the tool set derive from - a stable public REST/GraphQL contract, an internal-only API, or no machine-readable interface at all? (the last case changes the ROI framing - see step 1) 3. Write appetite: is read-only acceptable for launch? Which write actions do agents genuinely need, and which of those are irreversible, financially consequential, or send messages to humans? 4. Ho