TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.
Research-grade investment decision engine for AI agents: isolated multi-agent committee, auditable verdicts, backtests with lookahead protection, published negative results
A Bun-native MCP server that turns one or more MikroTik routers into +800 tools your AI can drive. Firewall · routing · DHCP/DNS · wireless · QoS · and a complete VPN suite — over SSH, with transactional Safe Mode.
Rivet — SDLC traceability for safety-critical systems. Schema-driven artifact management, validation, and lifecycle linking. Part of the PulseEngine toolchain.
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.
🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).
RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet), so it builds with the stack instead of drifting off it.
Verifies & compiles reduced-motion-safe, on-budget UI animation for AI-generated web apps. Validated specs → deterministic GSAP/WAAPI-CSS; WCAG 2.2.2 + 2.3.3 checks. MIT core + keyless MCP server. Not Motion.dev/Framer Motion, not the Android/iOS MotionSpec classes, not a video generator.
Runtime Firewall for AI agents which catches the rogue tool call before it runs. Dangerous commands, secret leaks, prompt injection. For Claude Code, Codex and framework SDKs
Attention is your scarcest resource. Chief is the local-first layer that guards it — turning every agent, alert, and feed into one honest call: interrupt, or not.
The offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.