Embedding Search

Memory Service

Enhance your text embedding capabilities with ChromaDB integration and sentence transformers through Model Context Protocol. Unlock semantic search and dynamic content suggestions with seamless websocket communication.

Meilisearch

Enhance your AI applications with seamless integration of Meilisearch for quick and accurate document indexing and searching, even with typos.

Apple Notes

Access your local Apple Notes effortlessly through on-device embeddings for convenient search and retrieval.

Code Indexer

Facilitates quick and effective code search and analysis for software development projects by utilizing embedding models and vector databases to index and fetch code snippets.

SearXNG Meta Search

Enhance your search experience with a versatile model protocol that combines SearXNG's meta-search features. Enjoy tailored and private search outcomes across various platforms, perfect for a range of information needs.

Code Context (Semantic Code Search)

Facilitates advanced code exploration and comprehension through the replication of git repositories, segmentation of code into meaningful sections, and creation of representations for simplified natural language search in extensive code repositories.

Turso SQLite

Facilitates seamless integration between AI virtual assistants and Turso SQLite databases, allowing for efficient management at the organizational level and detailed database queries. Offers persistent context, schema discovery, and advanced vector similarity search functions for enhanced performance.

OpenSearch

Effortlessly connect to OpenSearch databases for seamless querying, log analysis, document retrieval, and structured data retrieval within the conversation interface without interruption.

Optimized Memory

Enhance your memory management and conversation analysis with seamless integration to SQLite, enabling a durable knowledge graph for effective relationship modeling.

SearXNG

Enhance your search experience by effortlessly combining various search engines through the Model Context Protocol (MCP). Access a comprehensive search solution for efficient information retrieval and reliable fact verification.

SQLite Explorer

Explore databases seamlessly by leveraging the power of SQLite integration within the Model Context Protocol. Unlock AI-driven schema analysis, data querying, statistical evaluation, and quick prototyping capabilities for streamlined data handling and accelerated development processes.

OpenSearch

Enhance your applications with advanced search, log analysis, and real-time analytics functionalities by seamlessly connecting with OpenSearch using the Model Context Protocol (MCP).

Supavec

Enhance your knowledge retrieval and semantic search applications with seamless integration to Supavec. Access contextually relevant embeddings and related content efficiently through the Model Context Protocol (MCP).

Elastic Semantic Search

Enhance your blog post search experience with seamless integration to Elasticsearch through the cutting-edge Model Context Protocol. Instantly retrieve well-organized search outcomes showcasing titles, URLs, and pertinent text excerpts.

Solr Vector Search

Enhance your search experience by linking Apache Solr search indexes with vector embeddings. This innovation allows for a blend of keyword and semantic document searches, facilitating contextual search queries within structured data sources without the need for direct database interaction.