Multi-Source-Media-MCP-Server

An MCP tool server (written in Go) that exposes a unified set of MCP tools for accessing media from multiple sources (e.g., Unsplash/Pexels), crawling web pages for images, and performing media generation/manipulation (e.g., text-to-image and image-to-image via multiple AI backends). Configuration is loaded from a YAML file and the server is built/run via Go tooling.

Evaluated Apr 04, 2026 (17d ago)
Repo ↗ Ai Ml mcp media images video web-crawling image-generation go
⚙ Agent Friendliness
28
/ 100
Can an agent use this?
🔒 Security
39
/ 100
Is it safe for agents?
⚡ Reliability
18
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
35
Error Messages
0
Auth Simplicity
35
Rate Limits
0

🔒 Security

TLS Enforcement
60
Auth Strength
30
Scope Granularity
20
Dep. Hygiene
50
Secret Handling
40

Security details (TLS requirement, credential storage/handling, logging/redaction, auth model, upstream request signing, and safe crawling constraints) are not documented in the provided README. TLS is assumed likely for typical server deployments, but not confirmed; scores reflect uncertainty. As an MCP server bridging external sources and web crawling, it may be exposed to SSRF/crawling risks unless the implementation includes strong allowlists and validation (not evidenced here).

⚡ Reliability

Uptime/SLA
0
Version Stability
30
Breaking Changes
20
Error Recovery
20
AF Security Reliability

Best When

You want an MCP-first bridge between LLM agents and media sources/generation and can supply/secure the needed configuration and API credentials externally.

Avoid When

You need standardized REST/OpenAPI integration, or you require strong, explicitly documented security and reliability guarantees that are not evidenced in the provided materials.

Use Cases

  • MCP-based LLM workflows that need image retrieval from multiple external sources
  • Automated web page crawling to extract and retrieve images for downstream analysis or generation
  • Text-to-image or image-to-image generation in an MCP-driven agent pipeline
  • Building extensible media tools by adding new MCP tools/sources/backends

Not For

  • Production systems requiring a clearly documented public auth model, SLAs, and operational guarantees (based on the limited README provided)
  • Environments that forbid web crawling/scraping or require strict allowlisted domains without additional controls
  • Use cases needing a REST/GraphQL/SDK integration path (this appears MCP-first)

Interface

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

Authentication

Methods: config-based credentials for upstream media APIs and AI backends (not specified in provided README)
OAuth: No Scopes: No

Authentication/authorization mechanisms are not described in the provided README. The server likely relies on configured API keys/credentials in configs/config.yaml, but specifics (auth method, token format, scope model, rotation guidance) are not evidenced.

Pricing

Free tier: No
Requires CC: No

No pricing model is mentioned; as an open-source Go MCP server, costs would mainly come from upstream media providers and AI generation backends.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • The README does not describe MCP tool schemas, parameter contracts, or error formats; agent implementers may need to inspect the code/docs to understand tool behavior.
  • Web crawling is mentioned but not controlled/documented in the provided material; agents may trigger large crawl operations without explicit safeguards.
  • Generation/backends are described only at a high level; output constraints, rate limits, and failure modes are not documented in the provided README.

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

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