mcp-mongodb-novel-server

Provides a Model Context Protocol (MCP) server that exposes MongoDB-backed content to LLMs, with an SSE-based MCP interface for JSON-RPC 2.0 calls and a separate REST CRUD API for managing novels/chapters/characters/Q&A data.

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ API Gateway mcp mongodb sse json-rpc crud-api rust retrieval rag self-hosted
⚙ Agent Friendliness
44
/ 100
Can an agent use this?
🔒 Security
31
/ 100
Is it safe for agents?
⚡ Reliability
14
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
55
Documentation
70
Error Messages
0
Auth Simplicity
35
Rate Limits
5

🔒 Security

TLS Enforcement
30
Auth Strength
25
Scope Granularity
10
Dep. Hygiene
40
Secret Handling
55

README suggests MongoDB URI and environment-based configuration but does not document TLS usage, authentication requirements for query endpoints, RBAC/scopes, input validation, audit logging, or rate limiting. TLS/auth details are therefore assumed not clearly guaranteed by the documented interface.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
0
Error Recovery
20
AF Security Reliability

Best When

You want a self-hosted MCP server to back LLM retrieval over a known MongoDB schema for a niche domain (novels/characters/Q&A) and you can secure the MongoDB instance and endpoints yourself.

Avoid When

You need enterprise-grade security controls (OAuth, RBAC, audit logging) and precise operational guarantees (SLA, documented rate limits, idempotency, pagination, retry guidance).

Use Cases

  • Letting an LLM query and retrieve structured literary data stored in MongoDB (novels, chapters, characters, Q&A).
  • Building a retrieval layer for small-context models by returning token-dense responses.
  • Managing MongoDB collections via CRUD endpoints to support content ingestion pipelines.
  • Populating MongoDB using included Python scraper submodules.

Not For

  • Use cases requiring strong production-grade API governance (documented auth, rate limits, pagination semantics, and structured error contracts are not described).
  • Multi-tenant deployments where strict data isolation and authorization must be formally enforced by the service.
  • Environments that require a typed SDK, OpenAPI spec, or well-specified MCP tool schemas.

Interface

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

Authentication

Methods: auth_token parameter for update_chapter_summary (per README example)
OAuth: No Scopes: No

Authentication/authorization is not described for the MCP query endpoints or most REST endpoints. Only an auth_token parameter is mentioned for one MCP update method; details (validation, expiration, roles) are not documented.

Pricing

Free tier: No
Requires CC: No

Self-hosted open-source service (MIT license per repo metadata). No pricing information provided.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • No documented rate limits or pagination behavior, which can lead to large responses or repeated calls when context budgets are tight.
  • Update method mentions auth_token, but auth enforcement and error responses are not documented; agents may fail or get partial failures without guidance.
  • MCP method schemas (types, required/optional fields, ObjectId handling) are only informally shown; agents may need to adapt to actual runtime expectations.

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

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