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426,771 tools. Updated 2026-08-09 21:00

"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
  • Start background indexing of a codebase to enable search; poll status until complete before executing queries.
    AGPL 3.0

Matching MCP Servers

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    A local-first persistent contextual-memory engine with an MCP adapter for AI models such as Qwen.
    GPL 3.0
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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
    21

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

  • Preview what files and directories would be indexed in a codebase without performing the indexing operation.
    Apache 2.0
  • 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 the indexing status of a codebase, including file count, last indexed time, and pending changes.
    Apache 2.0
  • Force complete re-indexing of a codebase to rebuild search indexes. Specify the root path of the codebase.
    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.
  • 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