starsc-mcp-server

starsc-mcp-server is an MCP (Model Context Protocol) server package intended to expose Stars/StarSC-related functionality to AI agents via the MCP interface. Based on the provided input, no README/repo metadata was included, so details about the exact tools, parameters, and behavior cannot be verified.

Evaluated Apr 04, 2026 (21d ago)
Homepage ↗ DevTools mcp agent-tools integration starsc model-context-protocol
⚙ Agent Friendliness
28
/ 100
Can an agent use this?
🔒 Security
36
/ 100
Is it safe for agents?
⚡ Reliability
18
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
20
Error Messages
0
Auth Simplicity
30
Rate Limits
10

🔒 Security

TLS Enforcement
50
Auth Strength
20
Scope Granularity
20
Dep. Hygiene
50
Secret Handling
50

No security documentation (TLS enforcement, auth mechanism, secret handling, logging/redaction, dependency audit) was included in the provided input, so scores are conservative/uncertain.

⚡ Reliability

Uptime/SLA
0
Version Stability
50
Breaking Changes
0
Error Recovery
20
AF Security Reliability

Use Cases

  • Connect an MCP-capable agent to Stars/StarSC-related capabilities via standardized tool calls
  • Build agent workflows that need external context/actions exposed through MCP

Not For

  • Human-only workflows that require a full UI
  • Use cases needing a documented REST/GraphQL/SDK interface

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: unknown
OAuth: No Scopes: No

Authentication requirements for this MCP server are not included in the provided input, so they cannot be assessed.

Pricing

Free tier: No
Requires CC: No

Pricing not provided in the input.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • No tool list/contract examples were provided, so agent-side assumptions about input/output shapes and error semantics may be risky.
  • No guidance was provided on retries, rate limiting, or idempotency for mutating operations.

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Scores are editorial opinions as of 2026-04-04.

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