xhs-bailian-mcp-server-jlq

MCP server package (Julia-based) intended to expose XHS “bailian” capabilities to an AI agent via the Model Context Protocol.

Evaluated Apr 04, 2026 (17d ago)
Homepage ↗ Ai Ml mcp agent-tools julia
⚙ Agent Friendliness
32
/ 100
Can an agent use this?
🔒 Security
38
/ 100
Is it safe for agents?
⚡ Reliability
28
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
40
Documentation
30
Error Messages
0
Auth Simplicity
60
Rate Limits
0

🔒 Security

TLS Enforcement
50
Auth Strength
40
Scope Granularity
0
Dep. Hygiene
50
Secret Handling
50

No repository-level security details were provided (auth model, TLS requirements, dependency audit, and secret-handling practices are unknown). MCP deployments should ensure HTTPS/TLS, avoid leaking tokens via logs, and validate tool inputs/outputs.

⚡ Reliability

Uptime/SLA
0
Version Stability
40
Breaking Changes
40
Error Recovery
30
AF Security Reliability

Use Cases

  • Connecting an MCP-capable agent to XHS bailian functionality
  • Tool-based automation where the agent needs bailian-related actions/data
  • Building agent workflows that delegate tasks through MCP

Not For

  • Direct human-facing web/API usage without an MCP host
  • Production environments that require documented reliability/SLA and operational runbooks (not provided here)
  • Use cases needing advanced auth, billing, or fine-grained authorization policies (not evidenced)

Interface

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

Authentication

OAuth: No Scopes: No

Pricing

Free tier: No
Requires CC: No

No pricing information provided.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • MCP servers can vary widely in tool naming and parameter schemas; without detailed docs, agents may fail tool invocation.
  • Without explicit idempotency and retry guidance, agents may duplicate side effects when re-calling tools after timeouts.

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

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