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521,841 tools. Updated 2026-09-06 12:24

"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
  • Build a searchable codebase database required by all other tools. Supports multi-folder indexing with live progress and automatic file monitoring.
    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

Matching MCP Servers

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    A Model Context Protocol server that provides Retrieval-Augmented Generation capabilities using Contextual AI, enabling AI interfaces like Cursor IDE and Claude Desktop to query domain-specific knowledge with context-aware responses and source citations.
    1
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  • F
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    Provides RAG (Retrieval-Augmented Generation) capabilities via Contextual AI, enabling query processing and context-aware responses with citations. Integrates with MCP clients like Cursor IDE and Claude Desktop.
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Matching MCP Connectors

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

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  • 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
  • Preview what a codebase index will contain before running the full indexing process. Set a root path and optionally list files to review the exact scope of indexed content.
    Apache 2.0
  • Index a codebase for semantic search using auto, full, or load-only modes. Required first step to enable natural language code queries.
    MIT
  • 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 indexing status of a codebase by providing its root path. Get file count, last indexed time, and pending changes to verify up-to-date search index.
    Apache 2.0
  • Answer natural-language queries about a codebase to find where specific features, like user authentication, are implemented.
    MIT
  • Rebuild the entire search index for a codebase to fix outdated or incomplete results. Provide the root path to trigger a full re-index and refresh semantic code search data.
    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.
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  • Semantically search an indexed codebase using natural language queries, returning relevant code blocks within a token budget.
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  • Check server health, inspect per-repository indexing progress, and trigger re-indexing to resolve pending edges and stale summaries.
    MIT