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Make your systems usable by AI assistants and agents without opening security holes. Talk to ProsperaSoft about building and hosting production MCP servers.
Model Context Protocol Development
MCP is the open standard for connecting AI applications to tools and data, supported by Claude, ChatGPT, Microsoft Copilot, IDE assistants and agent frameworks. An MCP server exposes tools, resources and prompts once, and every compatible AI client can use them.
We design MCP servers in Python, TypeScript, Java and .NET for databases, SaaS platforms, internal APIs, document stores and search indexes, deploy them as remote servers with OAuth 2.1 and streamable HTTP, and integrate them with Claude and Claude Code, OpenAI agents, LangChain and LlamaIndex.
Why Choose ProsperaSoft for MCP Server Development
Our engineers have published a large body of practical MCP guides covering design patterns, tool-calling errors, session handling, token limits and enterprise deployment, and build MCP servers for real business systems.
We treat MCP servers as production software exposed to AI: least-privilege tools, input validation, rate limits, audit logs, secrets management and tests. For existing servers we offer an MCP security review.
MCP Development Services
Custom MCP Servers
Well-designed tools, resources and prompts that expose your business operations to AI assistants and agents.
Remote MCP and OAuth
Remote servers over streamable HTTP with OAuth 2.1, SSO integration and per-user, per-tool permissions.
Data and API Connectors
Connectors to SQL and NoSQL databases, CRMs, ERPs, ticketing, file stores and internal REST or GraphQL APIs.
AI Client Integration
Claude Desktop and Claude Code, ChatGPT, Copilot, IDE assistants and custom LangChain or LlamaIndex agents.
Security and Governance
Audit logs, prompt-injection defences, data-loss prevention and MCP gateway setup for central control.
Troubleshooting and Upgrades
Fix failing tool calls, timeouts, session and transport issues, and upgrade to the latest MCP specification.
What Teams Build with MCP
Internal Knowledge Access
Assistants that search wikis, tickets and documents with user permissions.
Operations Automation
Agents that create records, run reports and trigger workflows safely.
Developer Productivity
Coding assistants connected to repositories, CI, observability and issue trackers.
Product Integrations
SaaS vendors exposing their product to customers' AI assistants through MCP.
TECHNICAL EXPERTISE
Frequently asked questions
What is an MCP server?
An MCP server is a service that exposes tools, data and prompts through the Model Context Protocol so AI clients such as Claude, ChatGPT and AI agents can use them in a standard way.
Local or remote MCP server: which do we need?
Local servers run on a user's machine and suit developer tools. Remote servers run in your cloud, support many users with OAuth and central logging, and suit company-wide and customer-facing use.
How do you secure an MCP server?
OAuth 2.1 authentication, least-privilege tools and scopes, input validation, rate limits, audit logs, secrets management and defences against prompt injection and tool poisoning.
Which AI clients work with MCP?
Claude Desktop, Claude Code, ChatGPT, Microsoft Copilot, popular IDE assistants and agent frameworks such as LangChain, LlamaIndex and the OpenAI and Claude Agent SDKs.
Can you build an MCP server for our SaaS product?
Yes. We build and host MCP servers that let your customers connect your product to their AI assistants, with tenant isolation and usage controls.