A server for searching and retrieving information using keyword, semantic, or hybrid search methods

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A server for searching and retrieving information using keyword, semantic, or hybrid search methods

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Why this server?
This server is an excellent fit for 'Hybrid Search' as its description explicitly mentions combining 'keyword and semantic matching' for search across codebases, directly addressing the third method sought by the user.
Enterprise Code Search MCP Server
damian-pramparo
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security
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license
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quality
Enables semantic code search across local projects and Git repositories using AI embeddings with ChromaDB. Supports both OpenAI and local Ollama models for private, enterprise-ready code analysis and similar code discovery.
Last updated -
4
3
MIT License
Why this server?
A strong match for 'Semantic Search' as it uses 'OpenAI embeddings and ChromaDB vector storage' to enable 'semantic search capabilities' for conceptual retrieval from PDFs.
PDF Knowledgebase MCP Server
juanqui
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security
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license
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A Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.
Last updated -
3
MIT License
Why this server?
Directly implements a form of 'Semantic Search' and 'RAG' (Retrieval-Augmented Generation) by using PostgreSQL embeddings for semantic code search, which supports conceptual queries.
Codebase RAG MCP Server
allentcm
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security
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license
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Enables semantic search and retrieval of code files using embeddings stored in PostgreSQL. Supports intelligent codebase exploration through natural language queries, file listing, and content retrieval.
Last updated -
6
Why this server?
Focuses on the core infrastructure required for 'Semantic Search,' providing general document search capabilities through 'vector stores' and 'semantic search.'
MCP VectorStore Server
BierschneiderEmanuel
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security
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license
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quality
Provides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.
Last updated -
MIT License
Why this server?
Specifically designed for 'Retrieval-Augmented Generation (RAG)' to answer queries using local documents, which is a prime application of the 'Semantic Search' method.
MCP Docs RAG Server
kazuph
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security
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license
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quality
A TypeScript MCP server that allows querying documents using LLMs with context from locally stored repositories and text files through a RAG (Retrieval-Augmented Generation) system.
Last updated -
4
12
Why this server?
Enables 'semantic code search' using 'natural language queries,' aligning perfectly with the core utility described under 'Semantic Search' ('Natural language questions, conceptual search').
Seroost Search MCP Server
Parado-xy
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security
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license
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quality
Enables AI agents to perform semantic code search across entire codebases using natural language queries. Provides fast indexing and ranked search results with line numbers and file paths through the Seroost search engine.
Last updated -
3
5
1
Why this server?
Represents the 'Keyword Search' category from the user's query, providing web search which primarily relies on exact terms and Boolean queries for fast retrieval.
DuckDuckGo MCP Server
988664li-star
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security
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license
A
quality
Enables web search through DuckDuckGo and webpage content fetching with intelligent text extraction. Features built-in rate limiting and LLM-optimized result formatting for seamless integration with language models.
Last updated -
2
MIT License
Why this server?
A match for 'Semantic Search' as it focuses on using Qdrant for 'semantic search across multiple... vector database collections' using conceptual queries.
Qdrant MCP Server
mhalder
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security
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license
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Enables semantic search and document management using a local Qdrant vector database with OpenAI embeddings. Supports natural language queries, metadata filtering, and collection management for AI-powered document retrieval.
Last updated -
21
6
MIT License
Why this server?
Designed for retaining conversational context using 'semantic search,' highlighting the use of meaning-based retrieval to overcome limitations of traditional exact matching.
Semantic Context MCPofficial
semanticintent
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security
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license
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quality
Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.
Last updated -
1
MIT License
Why this server?
Features a 'full-text search interface with boolean support,' directly supporting the functionality described for the 'Keyword Search' method.
mcp-server-webcrawl
pragmar
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security
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license
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quality
Bridge the gap between your web crawl and AI language models. With mcp-server-webcrawl, your AI client filters and analyzes web content under your direction or autonomously, extracting insights from your web content. Supports WARC, wget, InterroBot, Katana, and SiteOne crawlers.
Last updated -
26
Python

Semantic Context MCPofficial