UI5 MCP Server vs Seven Dpt MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
UI5 MCP Server vs Seven Dpt MCP
In-depth architectural comparison of the UI5 MCP Server and Seven Dpt MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
UI5 MCP Server
Developer Tools · Local stdio
Quality: 59/100 (Good) | Auth: No auth required
Seven Dpt MCP
Developer Tools · Local stdio
Quality: 55/100 (Good) | Auth: No auth required
Verdict Summary: Choose UI5 MCP Server if you need specialized Developer Tools tools running via a local process. Choose Seven Dpt MCP if your workspace requires Developer Tools integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose UI5 MCP Server when:
You need dedicated capabilities in the Developer Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
UI5 MCP Server is categorized under Developer Tools and uses a local stdio subprocess. In contrast, Seven Dpt MCP belongs to Developer Tools using local stdio subprocess. Select UI5 MCP Server when you need capabilities focused on developer tools and Seven Dpt MCP when you require tools for developer tools.
Extracts metadata and configuration from a UI5 project.
get_typescript_conversion_guidelines
Provides guidelines for converting UI5 applications and controls from JavaScript to TypeScript.
get_version_info
Retrieves version information for the UI5 framework.
run_manifest_validation
Validates the manifest against the UI5 Manifest schema.
run_ui5_linter
Integrates with [`@ui5/linter`](https://github.com/UI5/linter) to analyze and report issues in the UI5 code.
Seven Dpt MCP Tools (8)
add_problem
Add a long-running problem to your set (refused past the ~12 cap until you retire/merge something — or pass `overCap`)
update_problem
Edit, **retire**, **solve**, or reopen a problem. Closing takes a `resolution` — why, plus the re-open trigger; a merge is a retirement whose resolution names the absorber
list_problems
See your open problems
get_problem
One problem + every spark (idea, next step, outcome) — the memory
evoke
The loop.** Feed it a trick; returns your problems + a scaffold walking evocation → transcendence → approach
capture_spark
Persist a candidate idea + concrete next step against a problem (+ optional `costToOpen` — the forward effort estimate — `prior` — your stated p(works), immutable, for later calibration — and the claim-typing trio: `claimType` universal/existential-bounded, `forbids` — one observation the spark rul…
update_spark
Record a spark's outcome — status (tried/worked/failed), `cost` (actual effort spent), `value` (graded payoff, `0` for a miss). **Log failures too**; the zero-value outcomes are the signal a background-effort policy is learned from. Can backfill `claimType`/`forbids`/`exhaustion` while unset (write…
wake_status
Evaluate every parked problem/spark's `wakeCondition` right now — ripeness, progress, per-atom current/target echoes