Field-by-field comparison

Compare the evidence before choosing an MCP.

Each signal stays separate, missing facts remain visible, and the column order follows your selection.

MCPs in this comparison

Uncheck an MCP to remove it. Comparing two or three keeps each signal in its own row.

Open canonical comparison link

Comparable alternatives

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence fieldMongoDB MCPMCP100 SelectedRedis MCPMCP100 Selected
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: Aug 14, 2026

Package: Aug 10, 2026

Repo: Aug 5, 2026

Package: Aug 5, 2026

Popularity evidence
GitHub stars

1,098

GitHub stars · checked 2026-08-14T18:46:26.000Z

568

GitHub stars · checked 2026-08-14T18:46:26.000Z

30-day package downloads

445,811

30-day package downloads · checked 2026-08-14T18:46:26.000Z

22,058

PyPI Stats package downloads · checked 2026-08-14T18:46:26.000Z

External adoption evidence
  • github: repository stars: 1,098Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
  • npm: package downloads: 12,402Exact attributable signal.npm: package downloads · Admission snapshot · checked 2026-07-29T17:30:00.000ZEvidence source ↗
  • github: repository stars: 568Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
  • PyPI Stats: package downloads: 22,058Non-comparable contextual signal.PyPI Stats: package downloads · Provider last month · checked 2026-08-14T18:46:26.000ZEvidence source ↗
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 noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationSupports 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.
CostThe 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.
PermissionsDatabase operations run with the connected MongoDB user's roles; Atlas operations require an Atlas service account with the relevant project permissions. The server exposes database, collection, query, index, performance, and Atlas administration tools. Publisher examples recommend `--readOnly` for data access.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 handlingThe 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 contextThe main risks are disclosure or mutation of database records and over-broad Atlas administration. Start with `--readOnly`, a dedicated least-privilege database user, narrowly scoped Atlas service credentials, disabled unnecessary tools and telemetry, and non-production data. This review does not claim MCP100 execution testing.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 review2026-07-242026-07-24
Candidate evidence2026-08-14T18:46:26.000Z2026-08-14T18:46:26.000Z

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

Read the evidence method →