"CTS" matching MCP servers:

Provides tools to slice documentation by headers, append git-verified session entries, and retrieve the current phase to manage context for AI coding agents.

Local MCP server for decision trace capture and deterministic explanations, providing tools to start, track, and query decision traces, and resources to retrieve trace data.

Exposes codebase memory as native tools for AI agents, enabling queries, feature tracing, impact analysis, and alignment verification.

MCP server for context switching across git worktrees and Claude Code agent sessions, providing a board of worktree status and distilled task summaries.

Local-first semantic memory server with project indexing for AI assistants. It enables AI assistants to store, retrieve, and search memories and project code using embeddings and vector search.

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.

Provides personalized CSS learning updates by tracking known concepts in memory, fetching latest CSS news via Perplexity, and guiding users through new CSS features they haven't learned yet.

Provides a unified context layer for LLMs by storing and retrieving repo-specific and cross-repo patterns via MCP tools, enabling instant context without re-exploring.

A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.

A credential-free MCP server that turns a Substack publication's public RSS archive and official analytics snapshots into a durable, queryable local SQLite ledger. It provides 12 MCP tools for browsing posts, tracking versions, recording metric snapshots, and analyzing content patterns.

Enables LLMs to perform structured, verifiable knowledge operations using the Canonical Knowledge Structure (CKS) ecosystem, including validation, querying, comparison, evolution, and derivation of knowledge.

A Context-as-a-Service MCP server that maintains structured, graph-based context for Shopify apps by extracting and summarizing data from web sources and help centers. It enables multi-agent systems to retrieve isolated, provenance-backed context slices or starter bundles via push and pull mechanisms.

A fully local persistent memory layer for LLM coding agents (Claude Code, Codex, Gemini CLI, OpenCode). A shell wrapper intercepts tool invocations, fires hooks on every tool call, then runs a 3-layer pipeline (extract → compress to ≤500-token digest → merge into project memory doc) at session end. The next session gets prior context injected automatically.

Enables MCP-capable AI clients to share one local SQLite-backed memory of preferences, decisions, tasks, and handoffs across sessions and models. It supports saving, searching, recalling, exporting, and restoring context through tools like remember, recall, get_context, and save_handoff.

Enables MCP clients to browse a local skill library, retrieve individual skill instructions and files, route task queries via Jev, and report completion activity.

A cloud-based vector memory service that provides AI assistants with persistent storage, semantic search, and entity management via the Model Context Protocol. It features multi-tenant isolation and bidirectional synchronization with macOS and Google contacts and calendars.

Enables an LLM to act as a quiz master by generating and saving quiz questions, then issuing tests and recording results for long-term tracking and analysis. This lets users identify weak points and monitor progress over time.

A TypeScript implementation of the Model Context Protocol server that enables creation, management, and semantic search of memory streams with Mem0 integration.

Enables persistent, portable memory for AI agents across sessions, devices, and providers with token-efficient 5-level lazy loading and automatic session capture.

语义搜索知识库，支持文档获取和索引刷新，使AI Agent能够检索团队知识。