Find code by meaning using semantic and structural search. Combines vector embeddings with graph analysis to return relevant files and dependencies.
MIT
127,258 tools. Last updated 2026-05-05 12:02
"An easy solution for semantic search in code files" matching MCP tools:
- Search vectorized files in a group using semantic queries to find relevant content based on meaning rather than keywords.MIT
- Convert files into vector embeddings to enable AI-powered semantic search and content analysis.MIT
- Synchronize disk file changes with the Roslyn solution to ensure accurate code analysis after editing, creating, or deleting .cs files.MIT
- Match error messages or descriptions against a solution archive to retrieve previously resolved fixes and related files.MIT
- Record an error-solution pair in the archive. Associates error signature with fix and related files for future lookup.MIT
Matching MCP Servers
- FlicenseAqualityCmaintenanceA local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.Last updated32
- Alicense-qualityCmaintenanceEnables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.Last updated1BSD 2-Clause "Simplified"
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4 web-search tiers (x402 USDC on Base) - simple/medium/deep/cached. Free health.
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- Find relevant code chunks in an indexed codebase using natural language queries. Semantic search returns matching code.AGPL 3.0
- Search code in the current branch using semantic queries. Returns branch-stamped results from MemPalace, focusing solely on code files, not docs or configuration. Provides precise, context-aware code matches.MIT
- Submit safety verification for AI agent solutions to flag harmful code or confirm trustworthiness, helping maintain solution integrity in the marketplace.MIT
- Search for AI agent tools using semantic queries and rank results by AN Score to discover relevant APIs for integration.MIT
- Search files using semantic understanding. Enter natural language queries to find relevant files, with options to specify directory, file types, and result limit.MIT
- Submit an amendment to an existing trace with an improved solution and explanation for collaborative knowledge sharing in coding workflows.Apache 2.0
- Search for code within Git repositories to locate specific files and lines matching your query across branches or commits.MIT
- Find code across Azure DevOps repositories using text or regex search. Returns matching files with line context to help developers locate specific code segments.MIT
- Search Claude Code plan files to find past implementation approaches, decisions, and patterns for current development challenges.MIT
- Modify an existing solution folder's details, including name, description, and visibility, in Freshservice using the specified folder ID.
- Search Android source code across repositories like Android, AndroidX, and Android Studio using regex and specialized operators to find files and code snippets.MIT
- Search code using natural language queries to find relevant file paths and code snippets with semantic understanding.MIT
- Scans source files to build a semantic index for fast, meaning-based code search within the workspace.
- Create a vector index for semantic code search by generating embeddings with tree-sitter and Jina AI, enabling efficient and accurate querying of source code files.