#Rag MCP Servers

Manage AI inference via Mistral. Execute chat completions, generate RAG embeddings, and audit frontier models.

Run vector similarity searches on Oracle 23ai. Execute VECTOR_DISTANCE queries, inspect schemas, list vector indexes, and query tables from any AI agent.

Execute RAG queries against Azure AI Search natively. Search vectors, full-text documents, and audit cloud indexes directly from your AI agent.

Connect your AI agent to AWS Bedrock Knowledge Bases. Execute semantic searches, managed RAG, and sync vector datasources natively.

Empower RAG via Cohere. Generate high-quality text embeddings, rerank documents for better accuracy, and perform AI classification directly from any AI agent.

Power your RAG and search via Jina AI. Generate embeddings, rerank documents, read URLs, and perform semantic web search.

Query and manage RAG pipelines via LlamaIndex. Execute natural language searches, audit indexed files, and monitor data pipelines.

Build with European open-weight language models that deliver strong reasoning, multilingual capability, and efficient inference.

Manage vectorized data via LanceDB. Perform similarity searches, create tables, and manage multi-modal embeddings.

Manage RAG pipelines and document parsing via LlamaCloud. Orchestrate LlamaParse jobs and audit data ingestion.

Manage your Open WebUI instance. List models, handle chat completions, and manage RAG collections directly from any AI agent.

Equip your AI with direct access to your R2R engine. Execute vector searches, run precise RAG queries, and manage your documents.

Automate vector similarity searches via Typesense. Index documents, manage collections, and execute semantic queries directly from your AI agent.

Process and transform complex unstructured data into AI-ready inputs by managing sources, destinations, and workflows directly from your AI agent.

Empower your agent with Vectara's RAG capabilities. Search corpora natively, execute grounded chats, and manage indexed datasets easily.

Enable your AI agent to manage knowledge-base bots, import documents, and query trained AI assistants via the Cody AI API.

Power your AI agents with real-time web search via Linkup. Execute semantic queries and extract RAG-ready content.

Equip your AI with Ragas to create datasets, run RAG evaluations, and track experiment metrics directly from your workflow.

Train custom AI chatbots on your own data to deliver instant, accurate support that learns from your knowledge base.

Connect your Verba RAG platform to your AI agent. Search your documents, retrieve semantic answers, and manage your Weaviate knowledge base directly.

Manage MyScale vector databases via SQL. Execute queries, perform vector searches, and manage indices directly from any AI agent.

Automate AI workflows and RAG via VectorShift. Manage pipelines, query knowledge bases, and deploy chatbots directly from any AI agent.

Generate high-quality text, multimodal, and contextualized embeddings, plus high-precision reranking for RAG workflows.

Access Writer's enterprise-grade LLMs and Knowledge Graph capabilities to generate content, manage files, and query RAG-based data.