"MCP server for semantic code snippet search" matching MCP servers:

Provides AI coding agents with structured access to indexed codebases via semantic search, symbol analysis, and file reading tools.

A lightweight MCP server for querying arXiv with semantic and keyword search, supporting natural language queries and structured filters.

Enables semantic search over documentation stored in a Vectorize database using the Cloudflare Agents SDK, allowing users to query indexed content via natural language.

A Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

A paid remote MCP server for routing code search queries, providing structured receipts, audit logs, and reviewer-ready evidence.

MCP server for querying the Semantic Scholar Academic Graph API, enabling paper search, author lookup, citation tracking, and paper recommendations.

An MCP server that provides access to Semantic Scholar's academic paper database, enabling paper search, detailed retrieval, author info, and citation export.

Enables AI-assisted analysis and optimization of Cloudflare D1 databases through comprehensive schema introspection, relationship mapping, validation, and optimization recommendations. Demonstrates semantic intent patterns with hexagonal architecture for maintainable database development workflows.

Provides a semantic intelligence layer for SQL Server databases, enabling AI agents to understand schema structure, relationships, and safely interact through policy-gated tools.

Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.

Enables semantic control and monitoring of openHAB smart home items through natural language, supporting commands, queries, and time-based monitoring tasks.

Enables LLM clients to analyze numerical data series (NumPy, Pandas, Polars, lists) and receive token-efficient natural-language summaries of trend, volatility, anomalies, seasonality, and data quality instead of raw values. Supports single-series analysis, batch processing of multiple series, and structured JSON output.

Access millions of academic papers from Semantic Scholar using the Model Context Protocol, with tools for paper search, author analysis, and research organization.

Enables searching and retrieving academic papers, author profiles, citations, references, and recommendations through the Semantic Scholar Academic Graph API, without writing API code. Supports relevance, bulk, and title search, batch lookups of up to 1000 papers or authors, snippet search, and customizable field selection with built-in rate limiting.

Enables searching and retrieving academic paper data, author profiles, and citation networks through the Semantic Scholar API, including paper and author search, batch lookups, citation and reference tracking, snippet search, and paper recommendations.

Enables searching and retrieving academic paper data, author profiles, citation and reference networks, and paper recommendations through the Semantic Scholar API, with batch operations, snippet search, and customizable field selection.

Enables users to search academic papers, inspect authors and citation networks, retrieve references and recommendations, and perform batch or snippet queries through the Semantic Scholar API.

Provides a code search service via MCP, allowing AI clients to perform fast, indexed searches across large codebases using Zoekt, with support for filters like repository, language, and path.

Enables semantic search across documentation stored in Gemini FileSearchStores, returning AI-generated answers with source citations.