Remote MCP server for agents that create, edit, validate, and publish Fine Structure apps.
AI & Agentsv1.0.0streamable-httpfinestructure.ai
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 391ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2024-11-05, serverInfo fine-structure-mcp@1.0.0 |
| tooling | 35 / 35 | tools/list OK: 92 tools e.g. "create_app"; 92/92 described, 92/92 fully-typed schemas, median description 107 chars |
| latency | 10 / 10 | initialize round-trip 391ms |
| provenance | 12 / 15 | description present; no repository URL; version 1.0.0; namespace ai.finestructure matches endpoint/repo |
Score 97/100 · latency 391ms · 92 tools · protocol access: open ⓘ
Security, data integrity, citation quality, and advertised claims are measured separately from protocol uptime. Missing evidence is marked unverified, never converted into a pass.
| Dimension | Metric | Status | Evidence | Source |
|---|---|---|---|---|
| citation_quality | citation_capability_advertised | unverified | Metadata/tool descriptions advertise citation or evidence capability: validate_entity_relationships Validate entity relationship metadata and *_id references against existing entity schemas. No response-level citation benchmark has verified this claim yet. | live_probe |
| security | sensitive_capabilities_declared | concern | 10 discovered tool(s) advertise potentially state-changing or privileged capabilities. Tool names: read_app_file, read_app_files, write_app_file, rename_app_file, add_file_change, list_secret_keys, set_secret, delete_secret, configure_integration, delete_ab_test. Classification is description-based and does not prove exploitability. Observed value: read_app_file, read_app_files, write_app_file, rename_app_file, add_file_change, list_secret_keys, set_secret, delete_secret, configure_integration, delete_ab_test Sample: n=10 | live_probe |
| security | authentication_boundary | observed | Live protocol probe observed auth_state=open. This describes discovery/access behavior; it is not by itself a vulnerability finding. Observed value: open | live_probe |
Machine-readable receipt: /api/trust/ai.finestructure/fine-structure.json
Claude Code:
claude mcp add --transport http fine-structure https://finestructure.ai/api/mcp
Generic MCP client config:
{ "mcpServers": { "fine-structure": { "type": "http", "url": "https://finestructure.ai/api/mcp" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/ai.finestructure/fine-structure · referral link https://mcpqueen.com/go/ai.finestructure/fine-structure (counts as “routed via the queen”).
Live operational-grade badge, re-probed continuously — not a security or data-quality certification. Put it in your README and link to the complete receipt:
[](https://mcpqueen.com/s/ai.finestructure/fine-structure)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-17 22:15 | A | 97 | 391ms |