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649,985 tools. Updated 2026-10-11 02:29

"Indexing a codebase for accessible contextual queries" matching MCP tools:

  • Re-index the Odoo codebase by scanning and parsing changed files. Supports incremental updates, module-specific indexing, and full re-index.
    MIT
  • Begin background indexing of a codebase to enable fast search. Poll codebase_status for progress and wait until 100% before searching.
    AGPL 3.0
  • Remove a project's indexed codebase from the vector database, safely stopping file watchers, canceling pending indexing, and waiting for in-flight graph builds before deleting the index.
    AGPL 3.0
  • Index a codebase for semantic search using auto, full, or load-only modes. Required first step to enable natural language code queries.
    MIT

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  • Build websites and apps with your AI agent. Get a live preview, ask for changes, keep the code. Builds use your account's credits. Publishing needs an API key with the appropriate permission and never happens automatically. https://codebase.design/agents

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Request indexing for URLs with JobPosting structured data or livestream BroadcastEvent via Google's Indexing API, limited to owner-verified Search Console properties.
    MIT
  • Index your codebase for semantic search, enabling natural language queries to find relevant code. Adds files to the indexing queue immediately and supports forced reindexing.
    MIT
  • Check a codebase's indexing status to see file count, last indexed time, and pending changes.
    Apache 2.0
  • Rebuild the entire codebase index from a specified root path to update semantic code search results. Use when the index is stale or needs a full refresh.
    Apache 2.0
  • Index a repository to enable searchable queries across its codebase, making it accessible for future analysis and information retrieval.
    Python
    MIT
  • Indexes a Python codebase for semantic search by extracting functions, classes, and methods, generating embeddings, and storing them. Supports incremental updates and forced full re-indexing.
    -
  • Semantically search an indexed codebase using natural language queries, returning relevant code blocks within a token budget.
    -
  • Retrieve full HTML or contextual snippet around a search query from an active Chrome tab to inspect page structure, find elements by text, and verify rendering.
    MIT
  • Find code by meaning across your entire codebase using natural language queries or code snippets, returning relevant chunks with file paths and line numbers.
    Apache 2.0
  • Create a semantic index of a codebase to unlock intelligent search. Run this first to enable code queries.
    Apache 2.0