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MCPs in this comparison

MongoDB MCPRedis MCP

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Comparable alternatives

Azure MCP ServerMCP100 RecommendedChrome DevTools MCPMCP100 RecommendedContext7 MCPMCP100 RecommendedGrafana Cloud MCPMCP100 RecommendedGoogle MCP Toolbox for DatabasesMCP100 RecommendedPlaywright MCPMCP100 Recommended

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence field	MongoDB MCPMCP100 Recommended	Redis MCPMCP100 Recommended
Task fit
Best for	Exploring schemas, collections, queries, indexes, and performance information Providing development assistants with read-only MongoDB context Scoped MongoDB Atlas project and cluster administration	Inspecting and manipulating Redis strings, hashes, lists, sets, sorted sets, streams, JSON, and search indexes Development workflows using a dedicated local or test Redis database Redis documentation search and operational investigation
Not ideal for	Unattended production database changes Large exports or unrestricted collection access from a general-purpose AI client	Read-only analytics when write-capable Redis tools cannot be disabled or constrained by ACL Production databases shared with latency-sensitive applications
Avoid when	The database user or Atlas service account is broader than the intended workflow Read-only mode cannot be enabled for exploratory use Sensitive query results must not be exposed to the selected AI client	The Redis credential grants unrestricted access to production keys TLS certificate verification is disabled for a remote Redis connection The agent must not read, overwrite, publish, expire, or delete Redis data
Provenance
Provenance details	First-party MCP MongoDB · Publisher source ↗	First-party MCP Redis · Publisher source ↗
Maintenance
Maintenance details	Repo: Sep 23, 2026 Package: Sep 21, 2026	Repo: Sep 21, 2026 Package: Not documented
Popularity evidence
GitHub stars	1,138 GitHub stars · checked 2026-09-24T04:14:39.568000Z	628 GitHub stars · checked 2026-09-24T04:14:26.347000Z
Package downloads / 30 days	338,225 package downloads / 30 days · checked 2026-09-24T04:17:59.424000Z	No reliable download data
External adoption evidence	npm: package downloads: 445,811Exact attributable signal.npm: package downloads · Rolling 30 days · checked 2026-08-14T18:46:26.000ZEvidence source ↗	Not documented
Client coverage
Client coverage details	Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio	Claude Code✓ Local stdio Claude Desktop✓ Local stdio Codex✓ Local stdio VS Code✓ Local stdio Cursor✓ Local stdio OpenCode✓ Local stdio
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	Supports MongoDB connection strings and MongoDB authentication mechanisms, including enterprise OIDC, LDAP, Kerberos, and X.509 where supported. Atlas management tools use an appropriately permissioned Atlas service account.	Supports Redis username/password URLs, individual credential options, TLS through `rediss://`, CA certificate verification, cluster mode, and Microsoft Entra ID authentication for Azure Managed Redis.
Cost	The official MCP server is open source and has no separately documented server fee. MongoDB Atlas, Enterprise Advanced, infrastructure, data transfer, and AI-client charges remain applicable.	The first-party server is open source and the PyPI package documents no MCP usage fee. Redis Cloud, infrastructure, network, container, and AI-client costs remain separate.
Permissions	Database operations run with the connected MongoDB user's roles; Atlas operations require an Atlas service account with the relevant project permissions. The real --readOnly/readOnly mode prevents registration of create, update, and delete tools, and disabledTools can further reduce the surface. Its configuration default is false even though official client/setup examples may recommend or include --readOnly.	The server can read and write Redis keys and data structures, operate streams and pub/sub, manage search indexes, and inspect server information according to the connected Redis user's ACL. Redis ACL configuration is the effective permission boundary.
Data handling	The local MCP process connects to the configured MongoDB deployment and returns query, schema, index, and Atlas results to the AI client. Export features can write query or aggregation results to local files. Telemetry collection can be configured or disabled; logs may contain operational metadata and must be handled appropriately.	The stdio server runs locally and sends Redis query inputs and returned key values to the connected MCP client. It connects directly to the configured Redis deployment. Credentials can be supplied in a URI, CLI arguments, or environment variables; avoid embedding them in shareable config and logs.
Limitations
Tradeoffs	The server combines database and Atlas management tools, which is convenient but requires separately scoped database and Atlas credentials. Read-only mode limits database mutation but must be intentionally retained; omitting `--readOnly` enables writes. Telemetry and index-checking features are configurable and should be reviewed for the deployment.	The server supports a wide Redis data surface, which is useful but makes the database credential the primary security boundary. Running through uvx is simple but `@latest` is mutable; pin a reviewed release for repeatable deployments. Connection URLs are convenient but can expose usernames and passwords in process arguments or client configuration.
Risk context	The main risks are disclosure or mutation of database records and over-broad Atlas administration. Server-side JavaScript execution is disabled by default, but MongoDB user/RBAC permissions remain the data-authority boundary. Start with --readOnly, a dedicated least-privilege database user, narrowly scoped Atlas service credentials, disabled unnecessary tools and telemetry, and non-production data.	A broad Redis tool set can expose or mutate application state, sessions, queues, cached records, and vector data. Use a dedicated database, a narrowly scoped ACL user, verified TLS, pinned releases, and backups. This review does not claim MCP100 execution testing.
Evidence date
Editorial review	2026-07-24	2026-07-24
Candidate evidence	2026-09-24T04:25:05.554391Z	2026-09-24T04:25:05.554391Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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