Side-by-side comparison

The 0.22-point score gap between MotherDuck (89.06) and Redis (88.84) is essentially a tie on the AgentRank scoring model. Redis has a slight edge in raw stars (454 vs 442) and contributor depth (23 vs 16) — MotherDuck wins on issue close rate (12 closed vs 3 open, an 80% close rate vs Redis's 68%). The real differentiation is the data model, not the score.

Data from March 19, 2026 crawl. Score = composite of stars 15%, freshness 25%, issue health 25%, contributors 10%, inbound dependents 25%.

MotherDuck MCP deep dive

motherduckdb/mcp-server-motherduck — score 89.06

motherduckdb/mcp-server-motherduck is the official MCP server for both local DuckDB and cloud-hosted MotherDuck. DuckDB is an in-process analytical database designed for OLAP workloads — it runs entirely in-process (no server required) and is exceptionally fast at columnar scans over Parquet files, CSV, JSON, and Arrow datasets.

The server gives AI agents the ability to run SQL queries against local DuckDB instances or remote MotherDuck databases. This is particularly powerful for data science agents: an agent can read a 250MB Parquet file, run aggregations, and return summarized results without ever moving the raw data. The 16-contributor team and 80% issue close rate (12 closed vs 3 open) suggest a well-maintained codebase.

Last commit: March 16, 2026. Written in Python. MIT license. Zero external service dependencies for local DuckDB usage — a significant advantage in airgapped or offline environments.

Redis MCP deep dive

redis/mcp-redis — score 88.84

redis/mcp-redis is the official Redis MCP server maintained by Redis Labs. It provides AI agents with natural language access to Redis operations: key-value get/set, hash operations, sorted sets, lists, pub/sub, streams, and Redis Search (full-text and vector search via RediSearch).

Redis is a fundamentally different data model from DuckDB. Where DuckDB excels at analytical batch queries, Redis excels at low-latency random access — sub-millisecond reads for cache lookups, session data, leaderboards, and real-time feeds. For agents that need to check a cache, update a rate limit counter, or read a user session, Redis is the appropriate tool.

23 contributors and a March 17 commit date make this one of the most actively maintained vendor servers in the database category. The 68% issue close rate (15 closed vs 7 open) is healthy. Written in Python. MIT license. Requires a running Redis instance (local or cloud-hosted via Redis Cloud).

Verdict

Despite nearly identical AgentRank scores, MotherDuck and Redis are not comparable tools — they model completely different data access patterns. Choosing between them is a data architecture question, not a quality question:

• Analytical workloads, data files, SQL queries: motherduckdb/mcp-server-motherduck — score 89.06, DuckDB OLAP engine, Parquet/CSV native, no external service required.
• Real-time cache, key-value, session data, vector search: redis/mcp-redis — score 88.84, sub-millisecond reads, Redis Search included.
• Running both: Common in production — MotherDuck for analytical queries, Redis for hot-path lookups. They complement each other cleanly.

If your use case involves querying files or running aggregations, use MotherDuck. If it involves checking session state, caching API responses, or real-time sorted data, use Redis. If you're unsure, the full database category ranking covers 7 top servers including both.

Setup guide

Install MotherDuck MCP server

Add to your MCP client config (claude_desktop_config.json or .cursor/mcp.json):

{
  "mcpServers": {
    "motherduck": {
      "command": "uvx",
      "args": ["mcp-server-motherduck"],
      "env": {
        "motherduck_token": "your-motherduck-token"
      }
    }
  }
}

For local DuckDB only (no cloud account required), omit the token and pass a database path as an argument.

Install Redis MCP server

{
  "mcpServers": {
    "redis": {
      "command": "uvx",
      "args": ["mcp-redis"],
      "env": {
        "REDIS_URL": "redis://localhost:6379"
      }
    }
  }
}