"Information about Neo4j graph database" matching MCP servers:

Enables LLMs to run complex graph algorithms on Neo4j databases, answering graph-related questions by selecting and executing appropriate parameterised graph algorithms.

Maps Salesforce metadata into a Neo4j graph database, enabling AI agents to reason about schema and generate accurate SOQL queries.

Provides AI coding agents with a local knowledge-graph memory, enabling cross-project retrieval via PageRank diffusion and tools to retrieve, write, extract, update, and view recent knowledge over MCP.

Automatically discovers database schema, performs data quality checks on tables and columns, and generates natural-language root cause analysis reports using Ollama LLM.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables LLMs to break down reasoning into an explicit, editable graph of thinking steps, with visualizations and the ability to revise individual steps.

RGI (Recursive Graph Improvement) MCP server — decision scoring with compounding intelligence via cross-graph attention. Supports stdio and HTTP transports. Apache 2.0.

Enables Claude to discover PostgreSQL schemas and run validated, read-only analytical SQL across independent databases through MCP tools with bounded results.

Enables sophisticated reasoning workflows using graph-based representations for AI models.

Enables ingesting documents or text to extract entities and relationships via LLM, storing them in Neo4j, and searching or retrieving episodes.

Enables agents to turn ambient visual wallpapers and lifestyle scenes into personalized retail product recommendations and shopping actions through MCP tools.

Long-term memory system for AI agents that accumulates domain expertise through mentorship, automatically recalls relevant knowledge, and supports memory decay and growth with anti-fabrication.

Enables graph-based fraud propagation scoring for clinical diagnostics, diffusing risk across entities with a deterministic fallback when the ML model is unavailable.

An MCP server that connects AI assistants to a Neo4j graph database, enabling querying of movie data through tools like graph statistics, genre-based search, and movie details, along with advanced features such as LLM sampling and completions.

A knowledge graph server for AI agents, built with Neo4j and integrated with Model Context Protocol, enabling dynamic graph management and semantic search.

Enables persona-grounded retrieval-augmented generation over your own documents by building a Neo4j knowledge graph and exposing tools for search, context, persona briefs, and graph queries via MCP.

A streaming AI cooking assistant that uses MCP tools and Neo4j knowledge graph to answer queries, manage recipes, and remember user preferences.

About Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and Neo4j.

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.

17 decision intelligence algorithms as MCP tools for AI agents. Bandits (UCB1, Thompson), LP/MIP solver (HiGHS), Monte Carlo simulation, Bayesian inference, graph analytics (PageRank, Louvain), genetic algorithms, CMA-ES, anomaly detection, time series forecasting, and more. All under 25ms, deterministic, zero LLM cost.

Generate and edit images with GPT Image 2.5 for $0.029 each, inside Claude, Cursor or any MCP client. A free you.bot API key comes with 50 credits (about 17 images) and needs no card.

Enables AI assistants to rewrite AI-styled English prose into more natural human writing, with tools for humanizing text and retrieving information about the underlying model.

Lets MCP clients ask typed questions — yes/no, choice, or score — about structured state, including images, and receive calibrated probabilities from System One decision models such as TypeSafe Jev and Cloudflare Clef. Supports TypeSafe, OpenRouter, and local providers selectable per request, with input validation and cost reporting.

Enables fast, probability-calibrated judgments about text, JSON data, or images by exposing Ollama's decision endpoint through a single decide tool. Supports label choices, yes/no probabilities, and ordered scores, with multiple questions batchable per call.

Enables AI agents to analyze videos from page URLs, direct media URLs, or local files and return structured answers about visible content, speech, on-screen text, and timelines.

Provides AI agents with structured knowledge about 67+ generative AI models, including model recommendations, prompt formatting, parameter guidance, and validation. It acts as a prompt engineering co-pilot that helps agents use their existing tools more effectively.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

Nexus-MCP is a local MCP server for coding agents. Hybrid code search and a call graph for 10 languages give the agent the right code in one call, so it reads less. No API key, no telemetry, MIT. * 95% fewer tokens to reach the right file * About 9× faster search than Grep and Read * Live Claude Code runs on 11 repos: cost per task lower on 8 of 11

Enables startup protection checks directly from your editor, analyzing clone risk, defensibility, and patentable features in about 2 minutes.

Enables AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.

A read-only MCP server that exposes Tiramisu AI's product information, pricing, and official links to MCP-compatible AI clients.

Enables LLM agents to use associative memory with key/value graph-based retrieval, supporting multi-hop traversal and human-like associative leaps beyond embedding similarity.

Provides intelligent web search capabilities using OpenAI's reasoning models, enabling AI assistants to fetch up-to-date information with smart reasoning.

Enables LLMs to search, browse, and retrieve detailed information on 6,500+ AI applications from the HyperStore catalog.

NocturnusAI sits between your agent and the LLM. It extracts facts, reasons about what's relevant, and returns only what changed optimizing your token usage, saving you costs.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Enables coding agents to request calibrated probability judgments over typed questions—yes/no, named choices, or ordered scores—about a described situation, returning one probability per option rather than free text. Runs Cloudflare's Clef model locally on Apple Silicon Macs, with images or video frames optionally attached, and answers delivered as a single MCP tool call.

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.

Builds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.