An LLM-based code review MCP server with AST-powered smart context extraction
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MCP servers for embeddings, vector stores, model gateways, and long-term memory. MCPpedia lists 1742 published AI and memory MCP servers. The highest trust scores right now are Codebase Memory at 77, haiku.rag at 74, openInvest at 72. 751 listings speak a remote transport, which a hosted client can connect to with a URL. Each server page shows the license, the tools it declares, and a paste-ready config for Claude, Cursor, VS Code, and the other supported clients. Nobody can pay to move up the list.
An LLM-based code review MCP server with AST-powered smart context extraction
Two-tier memory: hot cache (0ms) + semantic search. Self-organizing.
Search and match German public procurement tenders (OCDS) from your local LLM.
Embedded, local-first agent memory: one SQLite file per namespace, no server, no cloud.
Detect stale source context and retain traceable code-chain understanding for AI coding agents.
Memory for AI coding agents. Call graphs + refactor safety + persistent code context. 35 MCP tools.
Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.
RLHF feedback loop for AI agents. Capture signals, promote memories, block mistakes, export DPO.
Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
Shared, git-tracked working memory for AI agents on the same codebase.
by jerrysrodz · JavaScript
Persistent memory for AI agents. Search, store, and recall across sessions.
by romainsantoli-web · Python
138-tool MCP server for AI agent firms: security, A2A, Hebbian memory, fleet mgmt
Benchmark, memory, Big O analysis for AI agents