Cloudflare D1 Database MCP Server
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Alternatives to Cloudflare D1 Database MCP Server
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Related Servers
- AlicenseBqualityCmaintenanceEnables deterministic, typed tool calls for managing Cloudflare infrastructure, including D1 SQL queries, Workers inventory, KV/R2 storage, DNS records, and on-demand documentation search.17MIT
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to inspect database schemas and execute SQL queries against configured datasets, with tools for listing and describing tables.-
- AlicenseNot gradedqualityCmaintenanceEnables AI clients to explore and query a Cloudflare D1 database safely by listing tables, describing their columns alongside notes on how the data really behaves, and running a single read-only SELECT capped at 500 rows. Access is granted through per-person hashed tokens with human first-use approval, and the underlying read-scoped credential makes writes impossible at the Cloudflare level.MIT
- AlicenseNot gradedqualityDmaintenanceProvides access to database schema information generated by tbls and enables secure SQL query execution on MySQL and SQLite databases. Allows users to explore database structures, table relationships, and execute SELECT queries through natural language interactions.ISC
- AlicenseNot gradedqualityFmaintenanceEnables exploring and querying SQLite databases through natural language, with tools to list tables, describe table structures, and run SELECT queries.MIT
- FlicenseNot gradedqualityAmaintenanceEnables LLMs to inspect database schemas and execute SQL queries. It also supports listing tables and describing table schemas.-
TDQS
Scored across 2 tools
The two tools have completely distinct purposes: one lists tables (metadata operation) and the other executes SQL queries (data operation). There is no overlap or ambiguity between these functions, making it impossible for an agent to confuse them.
Both tools follow a consistent 'd1_verb_noun' naming pattern with clear, descriptive names. The prefix 'd1_' identifies the domain, and the verb-noun structure (list_tables, query) is uniformly applied across all tools.
With only 2 tools, this server feels severely under-scoped for a database management system. While the tools cover basic operations, typical database interfaces require more functionality (e.g., create/delete tables, schema management, transaction support) to be practically useful for agents.
The toolset is significantly incomplete for database operations. While listing tables and running queries are foundational, there are major gaps: no table creation/deletion, no schema modification, no transaction control, and no specialized query helpers. This will cause agent failures for common database workflows.