"Exploring RAG through defined workspaces" matching MCP connectors:
Matching Connector Tools:
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Human-authored personal context before AI guidance, built through private structured reflection.
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
An identity and memory layer for AI agents on the Emercoin blockchain. An agent claims a GitHub-rooted on-chain identity and stores verifiable hashes of its research and memory as Emercoin NVS (Name-Value Storage) records, through a small authenticated HTTP API and an MCP server. Neutral and provider-independent — not tied to any single AI vendor. FREE
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
A personal RAG database you build from chat, so AI creates work that sounds like you.
Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG.
Search your knowledge bases from any AI assistant using hybrid RAG.
SPM turns project knowledge into scoped, temporal, verifiable and injectable context for AI agents. It structures and summarizes project memory, tracks original intent, working state, current truth and history, preserves source traceability, and creates context packs that agents can query, verify and consume through MCP, CLI or API. The hosted MCP surface is project-scoped and does not expose billing, checkout or destructive admin tools.
MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.
Persistent identity, memory, and mission tracking for AI agents. Gives any agent a named handle, cross-session memory, real-time activity reporting, and a secure API key vault — all through one MCP URL.
Ingest, manage, and retrieve documents for RAG-powered AI applications
The CustomGPT.ai MCP server is a fully managed, RAG-powered endpoint that connects large language models with private knowledge bases and external data sources. It provides tools for retrieval-augmented generation queries (send_message), data ingestion (upload_file), and source listing, enabling AI agents to query private documents like PDFs with high accuracy and real-time citations.
Carbon Voice MCP serves as a bridge that connects AI assistants like ChatGPT, Claude, and Cursor to a user's Carbon Voice account, turning voice messages and conversations into a private, on-demand knowledge base. It provides 28 specialized tools for comprehensive voice messaging management, including creating and sending messages, accessing conversation history with instant transcription, running AI actions (summarization, TLDR generation, meeting notes), and managing workspace collaboration through folders, contacts, and team communications.