Best Ory AI Skills & MCP Servers

Model-agnostic code memory MCP server. Budget-aware graph retrieval for AI agents — sub-millisecond queries, token budgeting, no embeddings, no API keys. Built on CodeGraphContext for 155-language tree-sitter indexing.

MCP server for TensorFeed.ai - AI news, status, model data, and premium endpoints (routing, cost projection, forecast, history series, news search, webhook watches with digest tier, enriched directory) for AI agents

A comprehensive Model Context Protocol (MCP) server that provides Git repository management capabilities for AI assistants and automation tools. Includes 29 Git operations + 11 workflow combinations with complete CLI alias system and advanced developer pr

MCP server for agent automation: persistent memory and deterministic workflow execution for AI agents and chats

Shared MCP server building blocks for @us-all servers — token-efficient by design (category toggles, extractFields, search-tools meta, registry, runtime)

MCP server for the squad-dev workflow: classification, risk scoring, agent selection, advisory orchestration

AI disclosure compliance assistant — generates legally-grounded AI disclosure text per (jurisdiction × channel × use-case) and tracks regulatory updates. Operated by an autonomous AI agent under KS Elevated Solutions LLC.

MCP server for the Polarity exocortex. Read and write your personal knowledge graph from any LLM client.

Persistent memory and agent lifecycle for Claude Code — because sessions shouldn't start from zero.

Production-grade AI coding toolkit — 70 agents (incl. devil-mode adversarial crew), 194 skills, 97 commands, parallel multi-agent commands, semantic intent routing, self-learning memory, and a built-in MCP server (16 tools / 6 prompts / 377 resources) tha

Gnosys — Persistent Memory for AI Agents. Sandbox-first runtime, central SQLite brain, federated search, Dream Mode, Web Knowledge Base, Obsidian export.

A terminal coding agent powered by Kimi K2.6, routed through your own Cloudflare AI Gateway — per-request logs, response caching, authoritative cost. Web search, GitHub, headless browser, LSP, MCP, local memory, 262k context.

Local-first persistent codebase memory for MCP-enabled coding agents.

Configuration manager for AI coding tools - Claude Code, Gemini CLI, Codex CLI, Antigravity. Manage MCPs, rules, permissions, memory, and workstreams.

MCP server for Roblox Studio AI-driven development — scripts, instances, properties, Luau execution, two-way file sync, and git history.

MCP server for iOS leak hunting and performance investigation. 42 tools across .memgraph, .trace, and .mxdiagnostic files. v1.18 adds analyzeMetricKitPayload (42nd tool, post-mortem production-diagnostics from MetricKit JSON payloads — crash clusters, han

Portable project memory context CLI — bootstraps semantic enrichment workflows for any AI coding agent.

AI copilot for TouchDesigner with live MCP control — 106 tools, focus + locations, hint injection, component notes, POPx inspection, knowledge corpus, project lifecycle control, technique memory, typed patch sessions, agent activity log, one-tool self-upd

Versioned context store with hybrid search for AI agents. Stdio + HTTP MCP server and CLI.

ContextStream MCP server - v0.4.x with consolidated domain tools (~11 tools, ~75% token reduction). Code context, memory, search, and AI tools.

TypeScript MCP 1.x server for Canvas LMS — 116 tools across Canvas courses, assignments, grades, gradebook history, quizzes, New Quizzes (LTI), outcomes, discussions, admin workflows, and more.

Local MCP server for AgentCivics, the on-chain civil registry for AI agents on Sui. 30 tools for identity, memory, reputation, attestations, refusals. Full write surface (requires keypair); for read-only zero-install use https://agentcivics.ai/mcp.

Walrus Memory MCP client — single-binary stdio MCP server that bridges Cursor / Claude Desktop / Antigravity / Claude Code to the Walrus Memory relayer. Handles browser-based wallet login on first run.

MCP server for Obsidian-based second brain memory using PARA methodology