2,543 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
AI-Powered MCP server for KQL query execution with Natural Language to KQL (NL2KQL) conversion, intelligent schema memory, RAG-enhanced context assistance, and semantic search capabilities. Runs locally from the mcp-kql-server Python package.
A local MCP server for retrieval-augmented generation, a method that lets an AI find relevant information before forming an answer. The description does not specify its data sources or tools.
Search, ingest, expand chunk context, or manage local documents via a local RAG MCP server (tools: querydocuments, readchunkneighbors, ingestfile, ingestdata, deletefile, listfiles). Use when user says "search my docs", "save this page", "read around that chunk", "what did I save about X", or invokes npx local-rag.
An MCP server for an AI application’s BaaS authentication system, with AI-based document search and code generation. BaaS means backend services provided for an application.
AINative ZeroDB MCP Server - 77 operations for vector search, TurboQuant vector compression (PolarQuant + QJL), NoSQL, dedicated PostgreSQL management, files, events, RLHF, and persistent memory for AI agents with enterprise security. All tools annotated. Runs locally from the ainative-zerodb-mcp-server npm package.
MCP server "lightrag-code-brain-mcp" as configured in Filmystar/lightrag-code-brain-mcp-server. Runs locally from the lightrag-code-brain-mcp Python package.
★not rated 0 2mo agoA
tokens not measured
originalMIT