AgenticMCP Rag MCP Server
@rajagopal17
Basic information
About AgenticMCP Rag MCP Server
Rag with MCP server
AgenticMCP Rag MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryAgenticMCP Rag MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is agenticMCP_rag?
agenticMCP_rag is a Model Context Protocol server that implements Retrieval-Augmented Generation (RAG), enabling AI agents to retrieve and generate context from external knowledge sources.
How to use agenticMCP_rag?
—
Key features of agenticMCP_rag
—
Use cases of agenticMCP_rag
—
FAQ from agenticMCP_rag
—
More Memory & Knowledge MCP servers
Context7 MCP - Up-to-date Docs For Any Cursor Prompt
upstashContext7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Codebase Memory
DeusDataHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Agimem
Persistent memory for AI agents. Hosted MCP server with capsule-scoped key/value storage, tags, TTL expiration, bulk ops, and RBAC.

priostack
ideaswaveOpen-source Python SDK & MCP interface for Priostack Agent Context Network (ACN). Zero-setup, autonomous memory orchestration for AI agents.

PLUR
plur-aiAI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference
Comments