#mcp

The most RAM efficient harness

High-performance financial charting library with Canvas/WebGL/WebGPU hybrid rendering, delivering crisp multi-DPR visuals at 1-3ms GPU time per frame. Features plugin-based rendering and visual signal annotation. Exposes JSON semantic configuration for Agent-driven quantitative visualization. Works seamlessly across Vue, React, and Angular (soon).

Workflow orchestration toolkit and CLI for managing Logics docs, validation, MCP access, and VS Code integration.

Server-agnostic MCP testing framework and full-stack MCP App framework for ChatGPT Apps, Claude Connectors, and more.

Modern, accessible Blazor UI the shadcn way: use it from NuGet or own the source via CLI + registry. Components, DataGrid, Scheduler, charts, AI chat primitives, first-party icon packs, themes, dark mode, RTL + i18n. Tailwind CSS v4, MCP server, dotnet new templates. MIT.

【Star us! ⭐】 A declarative language that compiles to professional SVG floor plans — like Typst/LaTeX, but for architecture. Built for AI agents: deterministic output, JSON diagnostics that carry their own fix, and a describe/lint channel that verifies a plan against its brief without rendering an image. Zero-dependency TypeScript.

Battle-tested Claude Code skills for modern xOS (iOS, iPadOS, watchOS, tvOS) development

MCP server for Final Cut Pro XML. Lets Claude read, edit and generate real timelines: cut detection, markers, roles, transcript-based editing. Published on PyPI as fcp-mcp-server.

The framework that doesn't get in the way of you or your agents.

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai

MindOS is a Human-AI Collaborative Mind System, where human thinks and agents act. Globally sync your mind for all agents: transparent, controllable, and evolving symbiotically.

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

Library for Telnet Negotiation and interaction - with a mind towards MUDs and the like.

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

Multi-protocol API workbench for .NET — discover, invoke, record, mock, replay across gRPC, REST, GraphQL, MQTT, SignalR, WebSocket, SSE, MCP, OData, Socket.IO, and more... including your custom protocol.

A Go CLI for Linear with target-pinned guarded writes: every write re-resolves the active token and fails closed on org/team mismatch, with no bypass flag

A human-centered long-term AI partner—not a task-centered assistant.

One CLI to manage AI agent plugins and skills — author once in a single manifest, adapt to Claude Code, Codex & Antigravity. Versioned & reproducible.

Security & Observability for AI Agents — audit every tool call, enforce allow/block policies, catch prompt injection and data leaks. Local-first; works with Claude Code, Codex, Copilot CLI, OpenClaw, LangChain, and all major LLM APIs.

Local-first flight recorder for AI agents: every LLM call, tool call, cost, and loop captured by a transparent proxy. Zero code changes.

Build agent that uses 80% less token and delivers better results.