movies-mcp-server

Movies MCP Server is an MCP (Model Context Protocol) server that manages a PostgreSQL-backed movie database, exposing tools for movie and actor CRUD, linking/unlinking cast, search (multi-criteria, by decade, by rating range), bulk import, recommendations, and director career analysis. It also provides MCP resources for returning full database stats and base64-encoded poster images.

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ Ai Ml mcp model-context-protocol movies database postgresql go json-rpc stdio search images recommendations
⚙ Agent Friendliness
60
/ 100
Can an agent use this?
🔒 Security
48
/ 100
Is it safe for agents?
⚡ Reliability
32
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
88
Documentation
70
Error Messages
0
Auth Simplicity
55
Rate Limits
30

🔒 Security

TLS Enforcement
60
Auth Strength
45
Scope Granularity
20
Dep. Hygiene
55
Secret Handling
60

README mentions security-related env vars (JWT_SECRET, API_KEY, TLS_ENABLED/TLS_CERT_FILE/TLS_KEY_FILE, RATE_LIMIT) and also specifies non-root Docker execution and monitoring/health checks. However, the actual MCP authentication/authorization enforcement for tools, scope/role model, and whether TLS applies to the stdio MCP transport are not clearly documented. Rate limiting clarity for MCP is also limited in the provided content. Dependency hygiene and CVE status are not provided.

⚡ Reliability

Uptime/SLA
20
Version Stability
35
Breaking Changes
30
Error Recovery
45
AF Security Reliability

Best When

You want an MCP-native toolset that an agent can call locally (stdio) while using a PostgreSQL database as the source of truth.

Avoid When

You need externally exposed HTTP endpoints, complex enterprise auth flows, or a clearly documented, fine-grained authorization model for the MCP tools.

Use Cases

  • Integrating a movie/actor database with an AI assistant via MCP (JSON-RPC over stdio)
  • AI-assisted movie discovery (search, decade filters, rating ranges, similarity/recommendations)
  • Building interactive desktop agent experiences (e.g., Claude Desktop MCP integration)
  • Maintaining a structured movie catalog and cast/filmography relationships
  • Serving poster images as MCP resources to other agent components

Not For

  • Direct public Internet APIs without additional hardening (it’s primarily an MCP stdio server)
  • Workloads that require a classic REST/GraphQL endpoint for web clients
  • Use cases needing third-party auth integration/SSO as described in the README (auth details are environment-variable based and not clearly specified for MCP)

Interface

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

Authentication

Methods: Environment-variable based authentication configuration is mentioned (JWT_SECRET, API_KEY), but the README does not clearly describe how auth is enforced for MCP tool calls in the SDK server.
OAuth: No Scopes: No

Auth behavior for MCP is not fully specified in the provided README: it lists security-related environment variables (JWT_SECRET, API_KEY, RATE_LIMIT, TLS_*), but does not document the actual MCP authentication/authorization model, supported methods, or per-tool/role enforcement.

Pricing

Free tier: No
Requires CC: No

No pricing information is provided; repo appears to be a self-hosted open-source server.

Agent Metadata

Pagination
context-based pagination (search context + pages)
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Because it’s an MCP stdio server, an agent integration must run the command and manage stdin/stdout correctly (not an HTTP URL).
  • Pagination is handled via “search context” tools rather than typical page/limit parameters; agents need to follow the context/page flow.
  • Auth and rate-limiting behavior are not clearly documented for MCP tool invocation in the README, so agent-side retries/backoff may need conservative handling.

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

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