MCP

React hooks for exposing app functionality as WebMCP tools, with Zod-based inputs, SSR-safe behavior, StrictMode safety, and a bridge to AI clients like Claude and Cursor.

Codexify is a Rust-based local MCP bridge for ChatGPT Web Pro that exposes tools like file access, shell commands, git operations, and project management on your machine. It also supports OpenAI’s native Secure MCP Tunnel and can aggregate other MCP servers.

Open-source local-first contract layer and runtime for canonical data, retrieval, durable execution, and agent-facing AI. The repo includes a quick start, capability boundaries, client/runtime notes, and examples for running locally and inspecting providers.

Pay-per-fetch China data and analysis API for AI agents, with x402 micropayments, MCP tools, and live endpoint docs.

Turns Mermaid diagrams into deterministic explanatory text for coding agents, with benchmark evidence and multiple install/use paths shown on the page.

Pacific Slate is a self-hosted, model-agnostic multi-agent AI assistant with background work, long-term memory, source tracing, and an interface built around cards and a demo monitor. The page also explains the architecture, agent roles, storage boundaries, and how it connects through MCP and an OpenAI-compatible endpo

Open-source, self-hostable platform for shipping Claude Code-style AI agents to Kubernetes or local Docker Compose, with Slack as the first supported channel. The README shows a command-line workflow, deployment tiers, and support for traces, evals, budgets, and model choices.

crosswalk is an MCP-based social context-sharing product for coding agents, letting teams share searchable posts and pull group knowledge into tools like Claude Code, Cursor, Codex, and VS Code.

Memsprout is a shared AI-context layer for teams. Its docs show an MCP server, team spaces, role-based access, and a quickstart for connecting agents and sharing memories across teammates' clients.

A local MCP server that lets AI apps like Claude Desktop and Codex search, read, create, update, open, trash, and restore macOS sticky notes with permission-based access.

A Rust-based coding agent built for speed, low memory use, and Claude Code compatibility. The project highlights support for skills, hooks, MCP, plugins, sub-agents, and multiple LLM providers, with terminal, headless, and IDE-facing entry points.

A single-binary software catalog for platform engineering with auto-discovery, dependency graphs, scorecards, and a native MCP server for AI coding agents.

Habit Pocket is a habit tracker that logs numbers, times, and checkmarks to help users spot patterns in sleep, mood, energy, and daily routines. It also connects to AI assistants over MCP for chat-based logging and analysis.

Local-first change control for agent skills, with evidence-gated promotion, SkillOpt optimization, and MCP-based serving of skills.

Self-hosted registry and analytics platform for internal AI components like Skills, MCP servers, agents, hooks, and prompts. The page explains the problem it solves, supported harnesses, and the basic server/CLI setup flow.

Local codebase indexer and MCP server for Claude Code that watches project files, builds a private index on-device, and serves relevant snippets to Claude and other MCP clients.

Hearth is an open-source local AI agent that can control a Windows PC: it opens apps, reads and writes files, drives a browser, uses voice, and keeps memory across sessions.

Figmaboy is a local-first desktop design workspace with Codex CLI built into the canvas. It combines design, review, and command-line actions in one app, with offline saved designs and MCP-based context sharing.

Open standard, SDK, and live hub for personally-owned AI agents, with a protocol, reference hub, value routing, and live market mechanics.

Local-first task and context manager for humans and AI coding agents. It stores tasks, plans, docs, and memory in a shared SQLite database, with CLI commands, a web UI, and agent attribution built in.

A plugin and MCP server for Claude Code and Codex that gives AI agents access to FactIQ’s real-time finance and economics data, read-only SQL, market data, and shareable charts or reports.

Python toolkit for building LLM agents with MCP servers, skills folders, memory, streaming, and metrics support.

TypeScript SDK that adds an agent-facing visualize tool and embedded interactive charts to an MCP server. It supports SQL-backed chart rendering, text fallbacks for non-widget clients, and adapters for several warehouse systems.

FERNme is an open-source memory engine for AI agents that uses fuzzy graphs and Hebbian-style updates to store user preferences with near-zero LLM calls. The repository highlights editable user-owned memory, flat token usage, outcome-based reinforcement, and deployable plumbing via REST and MCP.