"AI Model CLI Tools and Orchestration Configuration" matching MCP servers:

Persistent 3D/2D spatial world model MCP server for AI agents. Entity tracking, object permanence, AABB collision simulation & view frustum projection via local SQLite.

CLI and stdio MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute — to any MCP-aware client (Claude Code, Claude Desktop, Cursor, ChatGPT).

Connect any AI client to the CaBrain memory system via MCP, exposing tools for memory recall, retain, and brain management.

Enables AI assistants to perform over 80 Obsidian vault operations locally via the Obsidian CLI, with a single tool and no network dependencies.

Enables capturing Claude conversations as Obsidian notes and searching the vault from chat, using the Obsidian CLI.

Provides MCP tools to search, browse, and retrieve unified read-only history from CLI agents like Codex, Claude Code, and OpenCode, with connector discovery and project-folder grouping.

Provides customer lookup, transaction history, knowledge-base search, and ticket management tools to any MCP client.

Enables interaction with Obsidian vaults through the official Obsidian CLI, allowing note management, search, and vault operations without plugins or API keys.

Temporal knowledge graph for codebases that captures decision traces, links test failures to code changes, learns co-edit patterns, predicts regression risk, and enforces learned constraints at the edit boundary via a PreToolUse hook.

Enables an AI assistant to build and revise an explicit shared world model, then reason, create, narrate, remember, and give writing feedback through inspectable processes, concepts, and cuts. Supports general-purpose modeling, storytelling, agent/user memory, and ideation over one engine and graph while keeping estimates, interpretations, and observations distinct.

Enables programmatic control of Obsidian vaults via REST API and MCP server for automation and AI assistant integration.

Provides durable project context for coding agents, including project maps, session history, and explicit memories, all stored locally.

Bridges CLI tools to AI assistants via MCP, enabling knowledge graph management and file reading capabilities.

Enables MCP clients to interact with an Obsidian vault through the official Obsidian CLI, supporting search, notes, tasks, files, links, and native Canvas operations while the Obsidian desktop app is running.

Local-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.

Provides local, evidence-aware research memory with human review, revision history, and an inspector, allowing assistants to preserve source reports, inferences, assumptions, and evidence across sessions.

Gives Claude and other MCP clients full control of a running Obsidian vault through the official Obsidian CLI, with fast filesystem reads for bulk operations and link-safe writes via the app.

A Model Context Protocol server that provides AI assistants with structured access to your Logseq knowledge graph, enabling retrieval, searching, analysis, and creation of content within your personal knowledge base.

MCP server that exposes Obsidian vault operations over HTTP via the Obsidian CLI, enabling note management, search, and daily note operations.

Extends VS Code Copilot with MCP tools for persistent semantic memory, code indexing and RAG search, sandboxed Python/shell execution, web fetch/search, dynamic tool management via a web UI, and structured multi-step reasoning.