mcp-swiftie-server

mcp-swiftie-server is a demo Model Context Protocol (MCP) server written in Go that exposes a small set of MCP tools to query mock Taylor Swift-related data (albums, songs, tours) using in-memory data. It includes a WebSocket listener (port 9000), a simple health endpoint and metrics endpoint, and demonstrates synchronous tool calls as well as a streaming/batched query pattern.

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ Ai Ml mcp model-context-protocol go websocket streaming demo-server agent-integration observability benchmarking
⚙ Agent Friendliness
38
/ 100
Can an agent use this?
🔒 Security
33
/ 100
Is it safe for agents?
⚡ Reliability
24
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
70
Documentation
65
Error Messages
0
Auth Simplicity
10
Rate Limits
0

🔒 Security

TLS Enforcement
40
Auth Strength
10
Scope Granularity
0
Dep. Hygiene
55
Secret Handling
70

The README mentions production work items (authentication, rate limiting, TLS/SSL, structured logging, tracing, circuit breakers, multi-tenancy). No auth or rate limiting is described, and a plain metrics endpoint is exposed. TLS/auth posture cannot be confirmed; WebSocket is mentioned without indicating TLS. In-memory mock data reduces privacy impact for the demo, but security features are explicitly missing for production.

⚡ Reliability

Uptime/SLA
20
Version Stability
30
Breaking Changes
20
Error Recovery
25
AF Security Reliability

Best When

You want a lightweight MCP server example to integrate with an agent framework quickly and test tool calling + streaming behavior.

Avoid When

You need secure multi-tenant access, strict governance, or production-grade reliability/operational guarantees out of the box.

Use Cases

  • Building an MCP tool for demo/education around Go concurrency and low-latency query handling
  • Prototyping agent workflows that need read-only dataset querying (albums, songs, tours)
  • Testing agent integration with MCP tool discovery and tool invocation (including streaming results)
  • Performance benchmarking of concurrent tool execution in a controlled environment

Not For

  • Production deployment without adding authentication, authorization, and rate limiting
  • Use as a source of truth for real Taylor Swift catalog/tour data (mock in-memory dataset)
  • Handling sensitive or regulated data
  • Guaranteeing API stability over time (repo appears to be a small demo with minimal observable release/versioning info)

Interface

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

Authentication

OAuth: No Scopes: No

README does not describe any authentication/authorization mechanism. Production considerations explicitly list 'Authentication' as a missing feature to add.

Pricing

Free tier: No
Requires CC: No

No hosted service pricing information provided; repository appears to be a self-hosted demo.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • No authentication is documented; agents in shared environments may not be able to safely connect.
  • Streaming tool output is batched; agent should handle partial/batch responses rather than expecting a single final payload.
  • Demo uses in-memory mock data; outputs may not match real-world datasets.

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

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Packages Evaluated
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Need Evaluation
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