The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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# Clone the repository
git clone https://github.com/ascending-llc/jarvis-registry.git
cd jarvis-registry
# Copy and configure environment
cp .env.example .env
# Edit .env with your identity provider credentials
# Setup Python Virtual Environment
uv sync --all-packages
source .venv/bin/activate
# Start all services
docker compose --profile full up -d
# Open the registry UI
open http://localhost:80
See the full Get Started guide for detailed instructions.
Jarvis Registry is an open-source, enterprise-grade MCP (Model Context Protocol) and A2A Agent Gateway and Workflow Orchestration platform built by ASCENDING Inc.
It solves one of the hardest problems in enterprise AI: giving AI copilots and autonomous agents secure, governed access to internal tools and data — without fragmented integrations or security blind spots.
| Capability | Description |
|---|---|
| MCP Gateway & Reverse Proxy | Single authenticated entry point for all AI clients and agents using MCP over SSE or Streamable HTTP |
| AI Copilot Integration | Connect Cursor, Claude Desktop, GitHub Copilot, VS Code, and any MCP-compatible copilot to enterprise tools |
| A2A Agent Orchestration | Register and manage autonomous agents; orchestrator agents coordinate worker agents through the same secure gateway |
| Identity & Access Management | OAuth 2.0/OIDC with Keycloak, Amazon Cognito, and Microsoft Entra ID — no custom auth code needed |
| Fine-Grained Access Control | ACL engine enforces scope-based, role-based permissions down to the individual tool level |
| Skill & Context-Based Discovery | Semantic search over skills, descriptions, and tags so agents and copilots find the right MCP server or A2A agent at runtime |
| Audit & Observability | Full request logging, OpenTelemetry tracing, and Prometheus metrics |