A
licenseNot graded
qualityD
maintenanceEnables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.
1
MIT
MCP Multi-Agent Gateway Studio
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Multi-Agent Gateway Studiodiscover tools for my agent and list recent GitHub pull requests"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Anthropic Model Context Protocol (MCP) Multi-Agent Gateway Studio
Production-grade Universal Model Context Protocol (MCP) Gateway providing dynamic tool discovery, OAuth2/RBAC tool filtering, and bi-directional SSE streaming across multi-agent systems.
Key Technical Highlights
JSON-RPC 2.0 Multiplexing: Routes asynchronous agent requests to heterogeneous backend tools (Postgres, GitHub, K8s, Bash) over unified Server-Sent Events (SSE).
Fine-Grained RBAC & Quotas: Enforces per-agent call allowances, schema parameter sanitization, and execution authorization.
Dynamic Schema Discovery: Agents discover real-time tool signatures in
<2msvia centralized schema caching.Audit Logging & Telemetry: Full cryptographic audit trail of all agent tool invocations with Prometheus latency tracking.
Related MCP server: ToolForge MCP Server
Quickstart
git clone https://github.com/Pradeeptalari14/tp-mcp-agentic-bridge.git
cd tp-mcp-agentic-bridge
bash scripts/validate.shSynchronized with Anthropic Model Context Protocol (MCP) Multi-Agent Gateway Studio Studio & Repository Learning DAG — Talari Pradeep Portfolio
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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