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Query a local repo index for deterministic code search and analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "scplus-mcp" yet — see the docs or source repo.
In the current repository index, find the exact definition of `createClient` and return the file path, code snippet, and related references.
Returns the definition location of `createClient`, the relevant code snippet, and related references to that symbol.
Using the current repository index, search for implementations related to authentication middleware and list relevant files, core functions, and brief notes by relevance.
Outputs a set of relevant code results with file paths, key structures or functions, and notes explaining their relation to authentication middleware.
Based on the local repository index, analyze the main module structure of the `src/api` directory and describe relationships and possible data flow between core components.
Provides the main modules, structural relationships, and high-level code analysis to help quickly understand that part of the implementation.
When developers inherit an unfamiliar repository or investigate issues, they can use the local index for exact and structural queries to quickly find definitions, references, and related implementations.
When AI agents need to understand local code, this MCP server provides a validated repository-local index that supports deterministic lookups, semantic search, and code analysis.
Researchers or advanced developers can use related-search and research capabilities to map relationships between modules and explore the implementation scope of a feature.
It is a local code-intelligence MCP server that uses a validated repository-local index to provide structural queries, exact queries, related search, and research capabilities. It also supports deterministic lookups, semantic search, and code analysis.
The provided information indicates that it relies on a validated repository-local index. The materials do not explain how the index is built, updated, or validated; see the source repository.
The description emphasizes structural queries, exact queries, related search, and code analysis rather than simple keyword matching. It can also give agents more deterministic code lookup and semantic search capabilities.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Search local code with text, symbol, and semantic hybrid retrieval.
Search indexed local codebases, find symbols, and read relevant code chunks fast.
Index local Git repos for fast code search and snippet retrieval.
Help AI agents navigate, search, and understand codebases and change history.
Get structured, read-only insights into local code repositories and project setup.