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ENJA

surreal-mcp

lfnovo/surreal-mcp

A Model Context Protocol (MCP) server that enables AI assistants to directly interact with SurrealDB databases using raw queries, full CRUD operations, and graph relationships.

7 6MITUpdated 2026-01-03

Overview

The SurrealDB MCP Server bridges the gap between large language models and SurrealDB by providing a robust, type-safe interface for database management. Built on FastMCP and the official SurrealDB Python SDK, it supports arbitrary SurrealQL execution, complete record CRUD workflows, graph edge traversal, bulk operations, and dynamic multi-database or namespace overrides.

Capabilities

  • Full SurrealQL execution
  • Comprehensive CRUD operations (create, select, update, delete)
  • Graph database relationship creation and traversal
  • Bulk record insertion and updates
  • Smart partial updates via merge and JSON Patch
  • Multi-database and namespace connection overrides
  • Connection pooling

Best for

Executing complex SurrealQL queries and graph traversals via AI assistants, Managing database records and relationships on the fly during development, Performing bulk data migrations or insertions using natural language prompts, Switching dynamically between different database namespaces and instances within a single session

Works with

Claude CodeCursorGitHub CopilotChatGPT
Evoa Score breakdown= Σ (score × weight)
69
Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 AIによるSKILL.md/README解析

Maintenance15%50 → +7.5

リポジトリがどれだけ活発に保守されているか。 GitHub 最終push日時の新しさ

Documentation12%36 → +4.3

ドキュメントの充実度・分かりやすさ。 README/独自要約の情報量

Security15%50 → +7.5

危険・不審な挙動が無いか。 AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 AIによる独自性判定

Popularity8%33 → +2.6

コミュニティの採用度。 GitHub Stars/Forks(対数スケール)

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 AIによる対応エージェント判定

Weighted total69.0 / 100

ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Requires database credentials (URL, username, password) passed via environment variables or client configuration. Ensure access is restricted and sensitive production credentials are not hardcoded or exposed in configuration files.

Categories

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.