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741,331 tools. Updated 2026-11-04 03:22

"A tool for indexing and searching codebases" matching MCP tools:

  • Returns all synced codebases with size, language, and project name, providing the project name required by every other tool. If empty, use sync_project to import the current repo.
    MIT
  • Check if codebases are indexed, retrieve status details, and access completion statistics and logs to troubleshoot search issues.
    Apache 2.0
  • Builds a searchable index for codebases by processing all files in a configured directory, enabling fast semantic searches with natural language queries.
    ISC
  • Begin background indexing of a codebase to enable fast search. Poll codebase_status for progress and wait until 100% before searching.
    AGPL 3.0

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  • List all indexed repositories with optional name filtering to find codebases, showing language, build system, and file/entity counts.
    MIT
  • Search codebases using natural language queries to locate relevant code snippets. Automatically indexes projects to provide up-to-date results with file paths and line numbers for development workflows.
    Apache 2.0
  • Submit a new AI agent tool to SkillsIndex for indexing and scoring, including security, utility, maintenance, and uniqueness review before publication.
    MIT
  • Add raw text to the knowledge base for indexing and receive a track ID to monitor indexing status.
    MIT
  • Check if the usage catalog is enabled and ready, returning configured sources, indexing state, counts, and load errors before relying on query or semantic evidence.
    Apache 2.0
  • Check indexing coverage by retrieving CodeGraph statistics including symbols, calls, resolved calls, imports, and file counts, optionally scoped to a repository path.
    MIT
  • Lists available Huly tool categories through this MCP proxy, helping you map platform capabilities before searching for a specific tool.
    MIT
  • Retrieve indexing status for all codebases or a specific one, showing file, symbol, and edge counts along with last indexed time to verify dependency graph completeness.
    MIT
  • Builds a semantic search index for an entire codebase, running in background by default and returning a project overview while embeddings are generated.
    MIT