"Lottery games and results" matching MCP servers:

Provides tools for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.

Enables AI assistants to understand Unity games and build mods by querying and acting on a combined knowledge base built from static analysis, online research, and an in-game runtime agent, with user consent required for any changes.

Gives agents a stable interface for durable memory, combining exact, lexical, semantic, and graph search results.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

Gives an AI game master a persistent memory for tabletop roleplaying games by storing worlds, characters, plots, and scenes. It enables saving, searching, and loading game state (via MCP tools) so the GM doesn't have to recall plot and details only from the context window.

Provides intelligent manuscript analysis and writing assistance for markdown projects, including semantic search, quality checks, terminology consistency, link validation, progress tracking, and comprehensive writing statistics.

Provides AI agents with tools to manage and enforce consistent pixel-art style for 2D RPG games, including style definitions, asset registry, art memory, QA checks, provider execution, and versioning.

Enables agents to query a CompanyGraph instance read-only, retrieving types, schemas, entities, skill evidence, and search results with verbatim answers from a specific model commit.

Enables AI agents to store, search, list, and forget long-term memories in a fixed namespace backed by S3-compatible storage, with optional read-only mode and provenance-tagged recall results.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.

Enables local MCP clients to list, read, write, and search notes in an Obsidian vault via an HTTP server running inside Obsidian.

Enables ChatGPT to search and fetch approved local Markdown notes through a private, read-only connection, returning results with file names, line numbers, and source context.

Enables LLM clients to query local RDF/Turtle semantic graph stores using SPARQL and retrieve structured results through an MCP tool interface.

dev-brain-mcp

Model-agnostic code memory MCP server using budget-aware graph retrieval for AI agents, providing sub-millisecond queries, token budgeting, and deterministic results without embeddings or vector databases.

An MCP server for planning and overseeing the tecture-graph project, giving coding agents a persistent place to log researches, development activities, test results, and project progress.

Enables agents to query across all their memory stores (brain, team, reading, code) in one call, returning a token-budgeted, ranked briefing with results interleaved from each source.

Enables AI coding agents to maintain persistent memory across repositories by indexing local files into a semantic graph and providing ranked, verified search results without LLM token costs.

MCP server for verified reuse infrastructure that lets agents query before work to obtain safe, permissioned results (exact component, source-free method, or abstention) with receiver-owned verification and non-disclosure guarantees.