Model Context Protocol Gateway & Agent API Orchestration Platform
AI agents and large language models (LLMs) are natively sandboxed and isolated from private databases, system terminals, and external vendor APIs. The Model Context Protocol (MCP) introduced an open standard to connect LLMs to live tools. However, de...
About a Project
AI agents and large language models (LLMs) are natively sandboxed and isolated from private databases, system terminals, and external vendor APIs. The Model Context Protocol (MCP) introduced an open standard to connect LLMs to live tools. However, deploying, scaling, and managing dozens of independent MCP servers securely for production applications remains a heavy infrastructure burden. Developers struggle to configure credentials, monitor payload throughput, manage rate limits, and dynamically discover active tools. OpenPlugAI was conceived to be the ultimate, high-performance orchestration gateway that bridges any AI agent to real-world APIs in seconds.
Project idea
- Developing a high-performance proxy routing layer for MCP servers
- Automating custom API schema parsing and dynamic tool mapping
- Designing an interactive discovery console for community server connectors
Solutions we've delivered
- Model Context Protocol Orchestration: Engineered a high-performance proxy routing layer that handles bidirectional JSON-RPC messages between LLM clients and a...
- Dynamic Server Registration Core: Built an schema-agnostic server registration pipeline in Next.js and MongoDB, enabling developers to connect any API by ...
- Secure Key & Access Management: Implemented row-level encryption and secure token authentication models, ensuring that LLM agents only query allowed MCP...
- Live Tool Telemetry & Auditing: Developed real-time logs that record token usage, API response parameters, and error rates, giving audit teams complete ...
- One-Click MCP Marketplace: Created a searchable portal containing 50+ pre-built community server connectors (GitHub, PostgreSQL, Slack, Google Driv...
Results
- 10x reduction in developer effort required to connect APIs to AI agents
- Sub-10ms proxy routing latency for Model Context Protocol requests
- Over 50+ pre-built MCP servers deployable with a single click
- Orchestration of 5M+ daily tool call invocations with 100% service uptime
Business Challenges
Our client required an integrated, scale-ready solution to overcome complex structural hurdles, compliance standards, and user experience pain points.
- Integrating secure row-level access permissions for LLM agents
- Normalizing diverse and unstructured API schema definitions
- Maintaining sub-10ms latency thresholds for real-time JSON-RPC proxy routing
Project Goals
The platform was developed considering the local industry specificities and further strategic product partnership.
Model Context Protocol Orchestration
- Engineered a high-performance proxy routing layer that handles bidirectional JSON-RPC messages between LLM clients and active MCP servers, keeping latency under 10ms.
Dynamic Server Registration Core
- Built an schema-agnostic server registration pipeline in Next.js and MongoDB, enabling developers to connect any API by supplying a standard OpenAPI schema or custom TypeScript template.
Secure Key & Access Management
- Implemented row-level encryption and secure token authentication models, ensuring that LLM agents only query allowed MCP sub-servers with pre-configured access rights.
Live Tool Telemetry & Auditing
- Developed real-time logs that record token usage, API response parameters, and error rates, giving audit teams complete visibility into agentic operations.
One-Click MCP Marketplace
- Created a searchable portal containing 50+ pre-built community server connectors (GitHub, PostgreSQL, Slack, Google Drive) that spin up instantly without configuration.
Product in Details
We've made the SaaS platform from scratch and became a long-term technical partner for the customer.
Business Architecture
- Model Context Protocol Orchestration: Engineered a high-performance proxy routing layer that handles bidirectional JSON-RPC messages between LLM clients and active MCP servers, keeping latency under 10ms.
- Dynamic Server Registration Core: Built an schema-agnostic server registration pipeline in Next.js and MongoDB, enabling developers to connect any API by supplying a standard OpenAPI schema or custom TypeScript template.
- Secure Key & Access Management: Implemented row-level encryption and secure token authentication models, ensuring that LLM agents only query allowed MCP sub-servers with pre-configured access rights.
Application development
We structured the development cycle following modern architectural paradigms to achieve high agility and rapid deployment.
- We provided a dedicated AI middleware team: PM, JSON-RPC schema designer, Next.js leads, MongoDB architect, and security QA engineers.
- The gateway was developed in 4 months using Next.js, Fastify, MongoDB database replicas, and custom token-throttling middleware.
- We integrated Auth0 authorization scopes and deployed dynamic Docker-based MCP connectors.
Results Obtained
On the project, we passed through all the steps to achieve all the goals set:
developer effort required to connect APIs to AI agents
Sub-10ms proxy routing latency for Model Context Protocol requests
Over 50+ pre-built MCP servers deployable with a single click
- Orchestration of 5M+ daily tool call invocations with 100% service uptime
Technology stack
Tools and solutions are selected and used, considering the requirements of the customer and the AI / Middleware industry.
Web Stack
Node.js
Fastify
Next.js
React
TailwindCSSDatabase & Storage
MongoDB
RedisDeployment & Cloud
Vercel
Docker
AWS ECSSecurity & Authentication
Auth0Client Review
“Being able to configure and discover MCP servers instantly has changed how we build agentic tools. The latency is practically non-existent.”
Julien Vance
Lead Architect, AgenticLabs
Interested in working with us?
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