Glean
Integrates Glean's search and chat APIs to enable natural language interactions with organizational knowledge bases and chatbots.
Directory
Integrates Glean's search and chat APIs to enable natural language interactions with organizational knowledge bases and chatbots.
Integrates with GitHub's API to enable natural language interaction with repositories, offering tools for searching, creating issues, and performing semantic…
Advanced MCP Server Setup with uv, llama-index, ollama, and Cursor IDE
MCP server for retrieving relevant documentation from a knowledge base
An MCP server providing tools to manage and query a Vectra knowledge base, enabling integration with MCP clients via a backend API.
A specialized RAG gateway providing language models with Cardano blockchain knowledge. Enables AI assistants to access documentation, validate smart contracts…
A Model Context Protocol (MCP) server implementation for RAG
Hypergraph database for AI agents. Store n-ary relationships (edges connecting 2+ nodes), track provenance (source and confidence), and query paths — all…
MCP Server to improve LLM context through vector search.
6-tier AI memory system with 28 MCP tools — episodic memory, knowledge graphs, document storage, session ledger, auth & GDP 6-tier AI memory system with 28 MCP…
Salesforce AgentForce as a traversable knowledge graph — 40 nodes, Einstein Trust Layer, $2-per-resolution billing path, 11x fewer tokens than RAG. MCP-native.
A Model Context Protocol (MCP) server for accessing and searching Standard Operating Procedures (SOPs) with Italian language support.
A powerful Model Context Protocol (MCP) server that intelligently fetches and processes web content with nested URL crawling capabilities. Transform any…
A powerful Model Context Protocol (MCP) server using gemini embedding 3 that transforms any local directory into an ultrafast, visually-aware spatial search…
EU AI Act compliance scanning for Python AI agents. 10 tools that scan, analyze, and fix compliance gaps across LangChain, CrewAI, AutoGen, OpenAI, and RAG…
Explore and understand codebases through conversation by breaking files into logical chunks for searching and querying without embeddings.
Local-first MCP tools for searching and drafting from your X/Twitter archive.
a lightweight, local RAG memory store to record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working…
Structured business ontology giving AI agents deterministic access to institutional reasoning — 18 MCP tools, Dolt backend, 0% → 100% "why?" recall vs…
Retrieve and process documentation using vector search to provide context for AI assistants.
Dynamic RAG Engine for AI Reliability. We provide mathematically scored context & sanitized data to prevent hallucinations in both static & volatile domains…
Enables AI assistants to enhance their responses with relevant documentation through a semantic vector search, offering tools for managing and processing…
A semantic search server for codebases using Qdrant, featuring intelligent GitHub issue and project management.
NVIDIA AI developer stack as a Compressed Knowledge Graph (CKG) — 20 domains, 998 nodes, every prerequisite chain declared as typed edges. Agents traverse…