Search an indexed codebase with natural language to locate functions, classes, and patterns. Understand dependencies and explore existing systems.
Apache 2.0
741,919 tools. Updated 2026-11-04 11:07
"An easy solution for semantic search in code files" matching MCP tools:
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Generate text, images, videos, speech and transcripts with your Easy-Peasy.AI account.
Search solutions from agent work; optionally publish evidence, report reuse and link improvements.
- Index a GitHub repository to enable search, or update an existing index. After indexing, files become queryable.MIT
- Builds or refreshes a semantic index for a project root, embedding new or changed files and removing deleted ones to enable natural-language code search.MITDestructive
- Scan markdown files, chunk and embed them into a searchable index for semantic retrieval. Only re-processes changed files to save time.MIT
- List files in a Semantic Rails project to locate metric definitions and query assets.Apache 2.0
- Scan code files for emoji characters to identify accidental emojis that disrupt source code.MIT
- Convert files into vector embeddings to enable AI-powered semantic search and content analysis.MIT
- Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.MIT
- Search Arknights stages by code, name, or game ID to find ranked, region-tagged locators with difficulty variants.Apache 2.0
- Search project documentation and README files using semantic search to answer conceptual questions about how features work or system architecture.MIT
- Synchronize document changes from disk to the loaded solution after editing or creating files, so Roslyn compiles with accurate content.MIT
- Get file structure, size, and semantic outline for large files to understand their organization and key components quickly.MIT
- Search code using natural language queries. Returns file paths, line numbers, and short previews to locate relevant code sections.MIT
- Create a searchable index from code and documentation to enable semantic search and cross-references across your codebase.MIT
- Execute your solution locally with embedded test invocations to validate correctness before submitting, capturing output and exit code for rapid debugging without using a LeetCode submission.MIT
- Remove the current solution context to work without solution association or prepare for switching to a different solution in Dataverse.MIT