"Fossil SCM" matching MCP servers:

Enables AI hosts to preserve and resume task and project state across conversations, process restarts, and worker or model replacement by storing structured records, snapshots, receipts, and bounded context views through a local stdio interface.

Enables SDD artifacts — concepts and immutable revisions of problems, research, specifications, designs, tasks, ADRs, and roadmaps — to be saved, listed, and retrieved in a CouchDB instance you run yourself. It serves the artifact tools that sddv3 skills call, exposing them over a Streamable HTTP MCP endpoint without authentication.

Provides a coherent memory layer for LLM agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. It uses local embeddings and a hybrid geometric-logical energy model to identify conflicting information that requires review.

Enables natural-language control of CST Studio Suite for electromagnetic simulation, covering modeling, materials, ports, solvers, result reading, and VBA scripting, with an embedded knowledge base and constraint hooks that self-evolve through use.

Extracts content from Douyin, Bilibili, Xiaohongshu, and Zhihu, and generates intelligent knowledge graphs.

Enables creating and querying semantic knowledge graphs to model business logic, code relationships, and project structure across multiple projects.

Enables AI agents to safely interact with golf course operations by providing real-time inventory, booking rules, pricing policies, and a self-learning memory system.

Enables lossless context management for OpenAI Codex CLI by capturing and compressing conversation history in SQLite, with lexical recall via MCP tools.

Persistent decision memory and contradiction detection for AI coding agents. Enforces architectural consistency across sessions — the agent cannot code until it loads prior decisions. Human resolves conflicts on a dashboard or in chat.

Intelligent AI memory management system with ML auto-triggers that automatically saves and retrieves information across AI platforms without manual intervention.

Enables any MCP-capable coding agent to share one persistent, token-frugal local SQLite memory across tools, so decisions and project facts saved in one agent are known to the others. It exposes a tiny four-tool surface for searching and retrieving gists, injecting only budgeted, relevance-gated context per session instead of dumping whole memory files.

Enables all IDEs to access Claude Code Skills capabilities with skill discovery, search, and management tools.

A materials science literature research service that extracts structured knowledge, generates traceable research hypotheses, and validates them through reproducible trials via the Model Context Protocol.