"MCP with RAG capabilities" matching MCP servers:

Enables AI systems like Claude to activate advanced reasoning patterns, domain expertise, and contextual analysis capabilities through Meta-Knowledge Processing.

MCP server that exposes the Lyzr Enterprise API as tools, resources, and prompts, allowing users to bring their own Lyzr API key to access a wide range of agent and RAG capabilities.

A Model Context Protocol server that enables remote connections with GitHub authentication, allowing users to build applications that leverage MCP tools with secure OAuth-based access control.

Provides deterministic search, load, and execution operations for progressively disclosing agent capabilities (skills, MCP, CLI, HTTP/API, RAG). Enables scope-bound reference access with budgets and audit.

Enables autonomous agents to perform CAD geometry calculations and retrieve Autodesk API knowledge via MCP, combining a native C++ geometry engine with RAG grounded on Fusion 360, APS/Forge, Revit, and Inventor.

A Model Context Protocol server that exposes multiple AI tools over SSE transport with JWT-based secure authentication, allowing for dynamic tool registration and session management.

A Cloudflare Workers-deployed MCP server that provides secure remote access to MCP tools through GitHub OAuth authentication. Includes example tools for basic math operations, user info retrieval, and image generation with configurable user access controls.

Enables building production-grade RAG systems with agentic reasoning, hybrid retrieval, and MCP protocol integration for use with Claude Desktop.

Provides an agentic RAG workflow with tool calling, enabling natural-language retrieval of policy docs, payment searches, and ticket creation over MCP stdio or HTTP.

Implements a Model Control Protocol server integrated with Google Gemini LLM, providing a flexible framework for building AI-powered applications.

Exposes the Integrated Memory System (IMS) capabilities, including session management, memory storage, and RAG-based context search, via the Model Context Protocol. It allows MCP-aware clients to interact with IMS backends to maintain long-term memory and context across sessions.

A TypeScript implementation of the MCP Agent framework, providing tools for building context-aware agents with advanced workflow management, logging, and execution capabilities.

An example MCP server that allows remote clients to connect and authenticate using WorkOS AuthKit, providing organization-centric authentication with permission-based access control for tools.

A server exposing intelligent tools for enhancing RAG applications with entity extraction, query refinement, and relevance checking capabilities.

Human-as-a-Service for AI agents. When your agent is blocked by a task that requires a real human — accepting ToS, creating accounts, submitting forms, identity verification — it calls NeedHuman. A human completes the task and returns the result with proof.

A pre-payment safety gate for x402 that screens payment metadata for PII, enforces spending policies, and detects replay attacks before signing.

A minimal MCP server that lets AI agents pause for a specified duration before resuming their workflow. Useful for polling patterns like waiting for PR approval or file creation.

A multi-agent research system that decomposes complex queries into targeted sub-questions, searches the web in parallel, scores source credibility, and synthesizes findings into structured markdown reports.

Enables structured, step-by-step problem-solving through dynamic thinking processes that can be revised, branched, and adjusted as understanding deepens. Supports breaking down complex problems into manageable steps with the ability to revise previous thoughts and explore alternative reasoning paths.

Enables LLMs to communicate with Agent-to-Agent (A2A) protocol compliant agents, providing tools for sending messages, managing tasks, and retrieving agent information.