ybl-mcp-server

ybl-mcp-server is an MCP server package intended to expose tools/resources to AI agents via the Model Context Protocol, likely backed by YBL-related capabilities. From the provided input, no README/repo manifest details are available, so tool coverage, parameters, and operational behavior cannot be verified.

Evaluated Apr 04, 2026 (17d ago)
Homepage ↗ DevTools mcp agent-integration ybl tools server
⚙ Agent Friendliness
36
/ 100
Can an agent use this?
🔒 Security
42
/ 100
Is it safe for agents?
⚡ Reliability
5
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
30
Error Messages
0
Auth Simplicity
50
Rate Limits
20

🔒 Security

TLS Enforcement
60
Auth Strength
40
Scope Granularity
30
Dep. Hygiene
40
Secret Handling
40

Security characteristics (TLS enforcement mode, auth mechanism, secret handling, dependency posture) cannot be verified from the provided prompt content because no code/README/manifest details were supplied.

⚡ Reliability

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

Use Cases

  • Connecting an AI agent to YBL-related data/actions through MCP tools
  • Building agent workflows that need retrieval/operations via an MCP-compatible interface

Not For

  • Production use without reviewing the repository documentation/source for authentication, data handling, and error semantics
  • Use cases requiring a REST/GraphQL/gRPC interface instead of MCP

Interface

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

Authentication

OAuth: No Scopes: No

No authentication details were provided in the prompt; MCP servers often rely on environment variables or platform-level auth, but this cannot be confirmed here.

Pricing

Free tier: No
Requires CC: No

No pricing information provided; MCP server packages are frequently self-hosted and cost depends on underlying dependencies.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • MCP tool schemas/parameter descriptions may be incomplete without checking docs
  • Authentication/authorization expectations may be environment-dependent and not obvious from package name alone
  • Without documented rate limits and error codes, agents may retry aggressively or mishandle partial failures

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

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