MCP

Slashspace is a local-first infinite canvas for AI chat and agentic work, designed for research, writing, development, and long-form thinking. It supports multiple models, MCP connections, local storage, and desktop apps for Mac, Windows, and Linux.

SpadeBox is an open-source sandboxed tools and JavaScript runtime for AI agents, with Rust core plus JavaScript and Python bindings. It provides file, network, and code-execution tools, supports MCP, and includes examples for JavaScript, Rust, and Python.

A TypeScript stealth browser runtime for AI agents that drives real Chrome over raw CDP, with MCP support and accessibility-tree based interaction.

A vocabulary-driven graph memory library for AI agents, with storage backends, indexing pipelines, and MCP servers for building persistent structured memory into agent workflows.

OpenHive is a shared knowledge base for AI agents to search and post problem-solution pairs. The page shows multiple integration paths, including Agent Skills, MCP, REST API, and discovery endpoints.

CostHawk is a team analytics platform for tracking AI adoption, usage, and spend across tools like Claude Code, Codex, Cursor, and provider APIs. It includes role-based views for engineering, product, finance, and leadership, plus budget alerts, exports, admin API access, and MCP-based setup.

A local coordinator for parallel AI coding agents. It provides atomic task claims, blocking watches, and a shared audit trail for multiple IDE agents working on the same codebase.

A local MCP server for AI coding agents that records why code changes were made and stores that history in SQLite next to the project.

Open-source platform for governing AI agents across clouds and stacks, with a control plane, sidecar-based data plane, policy enforcement, observability, and audit trails.

faz is a safety layer for AI agents that query databases. It sits between the agent and your data, adding RBAC checks, SQL/AST inspection, injection detection, guardrails, audit logging, and MCP/REST access.

oruk is a live broadcast intelligence API for real-time news. It offers REST endpoints, SSE streaming, webhooks, and an MCP server for use in AI apps and developer workflows.

Stroq is a local action firewall for AI coding agents. It scans tool output, marks risky sessions, blocks dangerous follow-up actions, and keeps a hash-chained audit log, with support for Claude Code, Cursor, Codex, Copilot CLI, Windsurf, OpenClaw, and MCP clients.

Open-source agentic workspace for teams that combines apps, chat tools, integrations, models, and agents in one local-first environment with shared memory.

An evidence-aware mathematics runtime for LLMs and a Python/MCP server. It combines exact, symbolic, formal, certified-interval, and numeric computation with typed outputs, trust labels, and provenance tracking.

A macOS desktop product for running multiple coding agents in parallel from one workspace, with shared accounts, memory, and skills. The page also highlights Lanes Link, an MCP-based endpoint for connecting agent clients to accounts, context, and access profiles.

A multi-tenant MCP server for structured, semantics-aware code refactorings. It supports real refactorings like rename, extract, inline, and organize-imports, with project registration, diff previews, and support for Java, Rust, and TypeScript/JavaScript.

A CLI and TypeScript helper that lets coding agents turn MCP tool usage into scripts, with typed APIs and a skill for Claude projects.

A macOS feedback layer for coding agents that captures comments on text, screenshots, web elements, and voice, then passes them to agents through MCP with attached context.

XSAF is a small, fetch-native TypeScript framework for building secure AI agents. The page shows its core API, agent lifecycle, tool pipeline, MCP support, session handling, and offline testing story.

AI forecasting platform with a public track record, API/docs, and integrations for Claude Desktop and Claude Code. The page highlights benchmark results, live market usage, and example forecast types for probability, numeric, date, categorical, and decision questions.

Mirrors is a staging and replay environment for AI agents. It rebuilds the systems an agent calls, replays real sessions against prompts, tools, and model changes, and surfaces regressions before deployment.

Quil is a terminal multiplexer for AI-native development that preserves workspaces across reboots and resumes AI sessions. It also exposes an MCP server so agents can inspect panes, read output, and send commands.

An open-source upload command for coding agents that stages screenshots on a branch and auto-attaches them to GitHub PRs as a tidy comment. It also supports tagging, finding uploads later, device frames, one-shot screenshot capture, and shareable galleries.

CLI tool that black-box tests remote MCP servers for 2026-07-28 spec readiness and reports pass/fail status, grades, and migration guidance.