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fullstackMCP Server

Conduit

MCP Server Management Platform

2026
6 weeks
Backend Engineering

Project Overview

A developer platform for building and managing MCP (Model Context Protocol) servers that connect AI assistants like Claude, Cursor, and ChatGPT to real tools and data, with a dashboard for servers, requests, and logs.

The Problem

MCP is how modern AI assistants connect to tools, but standing up and operating MCP servers is fiddly: no clear view of which tools are exposed, which clients are connected, or what requests are flowing through.

Our Solution

Conduit gives developers a control plane for MCP servers. It shows connected servers and their transports, exposes tool schemas, and logs every request from clients like Claude and Cursor, with metrics on latency and usage, so MCP integrations are observable and maintainable.

Target Users

Who benefits from this solution

Developers building AI integrations
Teams adopting MCP with Claude or Cursor
AI product engineers
Companies connecting internal tools to LLMs
Platform and DevTools teams

Key Features

Powerful capabilities that make a difference

MCP server management dashboard
Connected-server status and transport (stdio/SSE)
Exposed tool schemas with previews
Live request log across clients
Latency and usage metrics
API keys and access control
Client support (Claude, Cursor, ChatGPT)
Structured logs and debugging

App Screenshots

Explore the user interface and experience

Conduit MCP Server Management Platform - Mobile app screenshot 1 - MCP Server TypeScript app

Technology Stack

Tools and technologies we used

TypeScriptMCP SDKNode.jsReactPostgreSQLZod

Our Responsibilities

From concept to delivery

1MCP server implementation (TypeScript SDK)
2Tool schema exposure and validation
3Request logging and observability
4Management dashboard and metrics
5API key and access control
6Transport handling (stdio / SSE)

Project Outcome

The impact and results delivered

Conduit makes MCP practical to run in production. Developers get a single place to see their servers, the tools they expose, and every request flowing through, turning a raw protocol into an operable platform.

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