Xcode Index MCP
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Alternatives to Xcode Index MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables coding agents to index and search multi-project codebases through semantic and full-text retrieval, symbol lookup, and reference search via a local MCP endpoint.MIT
- FlicenseNot gradedqualityDmaintenanceBridges Xcode and Cursor to provide real-time access to build errors, warnings, and debug output from Xcode's DerivedData, enabling automated error analysis and fixes directly within Cursor.-
- AlicenseNot gradedqualityDmaintenanceIndexes a codebase into a live symbol graph and serves it via MCP to AI coding tools for context-aware code queries.4 npm1MIT
- AlicenseAqualityCmaintenanceEnable Claude Code, Cursor, or your favorite LLM to interact with Xcode, building your projects the same way you do, and seeing the same errors. Greatly increases productivity when working on iOS, iPadOS, macOS, visionOS, tvOS projects & Swift packages - or any time you might use Xcode.2951 PyPI5MIT
- FlicenseNot gradedqualityAmaintenanceProvides a local-first code indexing and search engine for coding agents via MCP, enabling precise codebase queries, symbol lookup, and freshness-aware retrieval.-
- AlicenseNot gradedqualityCmaintenanceAn advanced Model Context Protocol (MCP) server for Xcode project introspection. It enables AI assistants to read schemes, build iOS/macOS projects, run tests, and check Git & SwiftLint info directly from local repositoriesMIT
TDQS
Scored across 4 tools
The tools have distinct primary purposes: loading an index, searching by pattern, retrieving by USR, and looking up by file location. However, get_occurrences and symbol_occurrences could be slightly confused as both retrieve symbol occurrences, though they use different input parameters (USR vs. file location).
All tool names follow a consistent snake_case verb_noun pattern (e.g., load_index, search_pattern, get_occurrences, symbol_occurrences). The naming is predictable and readable throughout the set.
With 4 tools, the count is reasonable for an index query server, covering core operations like loading, searching, and retrieving symbols. It might be slightly thin if advanced features like filtering or batch operations are needed, but it's well-scoped for basic functionality.
The tools cover key index operations: loading, pattern search, and symbol retrieval by USR or location. However, there are notable gaps, such as no ability to update or delete index data, list available projects, or handle errors more granularly, which could limit agent workflows in complex scenarios.