Custom MCP Server Development
Empower your AI agents with hands, feet, and guardrails. We design and build standalone, secure MCP (Model Context Protocol) Servers operating via local Stdio or HTTP to seamlessly link your legacy databases, CRM, ERP, and custom applications with advanced AI Agents.
Robust Security Boundary
Prevent data leaks to external AI model providers by restricting data exposure within your local network boundary.
Dual Transport Support
Choose high-speed Stdio protocol for local execution, or highly portable HTTP (SSE) servers for networked deployment.
Advanced Autonomy
Directly inject custom toolsets, schemas, and proprietary DB search capabilities into agents like Cursor, Antigravity, or Claude Code.
What is MCP (Model Context Protocol)?
While advanced AI models (such as Claude or GPT) excel at complex reasoning, they traditionally lacked a standardized protocol to interface with local files, proprietary databases, and internal enterprise tools. This created integration fragmentation across different platforms.
Model Context Protocol (MCP) is an open-standard architecture designed to solve this. It acts as an abstraction layer between AI models and actual data sources. By implementing a custom MCP Server, you can expose structured resources, dynamic prompts, and execution tools (Tools) that AI Agents can safely invoke to query databases or invoke local automation scripts.
Our MCP Server Development Capabilities
Drawing from our 20+ years of experience in enterprise systems integration in Southeast Asia, Crescent IT delivers robust, production-ready custom MCP servers.
terminal 1. Local Stdio Integration
Achieve ultra-low latency and absolute privacy with standard input/output (Stdio) transport. Running locally on your machines, the AI agent communicates with our server directly without exposing HTTP endpoints to the open web, giving the agent secure capability to manage local files, logs, and development routines.
cloud 2. HTTP (SSE) Standalone Servers
Deploy modular HTTP servers in your secure intranet to connect multiple clients to a central database cluster (e.g., PostgreSQL, MySQL, Oracle EBS). The server uses Server-Sent Events (SSE) to push lightweight JSON-RPC payloads, enabling real-time database querying and centralized schema management for all internal users.
security 3. Granular Access & Permission Filtering
We resolve the "AI safety" challenge for enterprise operations. Our servers integrate dynamic permission checks, limiting tool executions to predefined safety boundaries. This ensures that the AI Agent can read data schemas but cannot execute destructive commands or access forbidden tables without explicit human approval.
Key Use Cases
Proprietary Codebase Search & Autonomous Refactoring
Expose internal libraries, frameworks, and architecture documentation to local AI Agents. Developers can ask the agent to write new code modules conforming exactly to internal standards, allowing the agent to self-correct based on compiler feedback fetched via MCP.
Conversational Data Analysis Over Core DBs (Oracle EBS / PostgreSQL)
Link AI Agents directly with read-only database connections. Business operators can simply prompt the agent: "Summarize top-performing product categories in Thailand last quarter," and the agent will automatically formulate SQL queries, pull data via MCP, and generate the final report.
Workflow Automation (CRM, Jira, Email Integrations)
Establish a tool directory mapping CRM records, Jira ticket creation, and email send actions. The AI agent can coordinate cross-application tasks, such as generating customer responses, creating support tickets, and notifying stakeholders via Slack seamlessly.
Our Commitment & Support
At Crescent IT (Thailand), we guide enterprises through the entire AI Integration journey. From developing tailor-made MCP servers to deploying private on-premise LLMs and training internal teams, we ensure you achieve maximum operational efficiency with top-tier security standards.
Service Type
Enterprise AI Protocol Integration
A fully customized connector system designed to link internal data silos and tools with cognitive AI agents securely.
Transports
Target Systems
Oracle EBS, NetSuite, PostgreSQL, MySQL, Custom REST/GraphQL APIs, Local File Systems, Windows/Linux OS Shells