πŸ”Œ Model Context Protocol Experts

MCP Server Integration Services

Connect your enterprise data to AI assistants. We build custom MCP servers that give Claude, ChatGPT, and other AI tools secure access to your databases, APIs, and internal systems.

MCP Server
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πŸ€– Claude
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✨ Copilot

What Can MCP Servers Do?

Give your AI assistants real-time access to enterprise data, enabling powerful automations and insights.

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Database Queries

Let AI assistants query your Snowflake, PostgreSQL, or other databases using natural language.

"Show me customers who haven't ordered in 90 days"
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Analytics Access

Connect to your Tableau, Looker, or custom analytics platforms for AI-powered insights.

"What's driving the revenue decline in Q4?"
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API Integration

Expose your internal APIs to AI assistants with proper authentication and rate limiting.

"Create a support ticket for customer #12345"
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Document Access

Let AI search and summarize documents from SharePoint, Google Drive, or S3.

"Find the latest product roadmap document"
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CRM Integration

Give AI assistants read/write access to Salesforce, HubSpot, or custom CRMs.

"Update the deal stage for Acme Corp to Closed Won"
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Secure Access Control

Role-based permissions ensure AI only accesses data users are authorized to see.

Full audit logs and compliance controls

Our MCP Integration Services

End-to-end support from strategy to production deployment.

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Custom MCP Server Development

We build bespoke MCP servers tailored to your specific data sources and use cases.

  • Requirements analysis and architecture design
  • TypeScript/Python MCP server development
  • Tool and resource definition
  • Comprehensive testing and documentation
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Database MCP Integration

Connect your databases directly to AI assistants with secure, optimized access.

  • Snowflake, PostgreSQL, MySQL, SQL Server
  • Query optimization and caching
  • Schema-aware natural language querying
  • Row-level security integration
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API to MCP Conversion

Transform your existing REST/GraphQL APIs into MCP-compatible tools.

  • OpenAPI/Swagger spec conversion
  • Authentication passthrough
  • Rate limiting and error handling
  • Semantic tool descriptions for AI
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Enterprise MCP Deployment

Production-grade deployment with security, monitoring, and scalability.

  • Cloud-native Kubernetes deployment
  • SSO and identity provider integration
  • Comprehensive audit logging
  • High availability and auto-scaling

Technologies We Integrate

Deep expertise across the modern data stack.

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Snowflake

Native MCP integration for data warehouses

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PostgreSQL

Secure database querying via MCP

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AWS / GCP / Azure

Cloud service integrations

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Tableau / Looker

BI tool data access

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Salesforce

CRM read/write operations

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Notion / Confluence

Documentation access

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REST / GraphQL

Any API integration

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Okta / Auth0

Identity & access management

Ready to Connect Your Data to AI?

Let's discuss how MCP integration can unlock AI-powered workflows for your organization.

Frequently Asked Questions

Common questions about MCP server integration.

What is MCP (Model Context Protocol)?

MCP is an open standard created by Anthropic that enables AI assistants to securely access external data sources. It provides a standardized way for AI models to read databases, query APIs, and access files with proper security controls.

Which AI assistants support MCP?

Claude supports MCP natively through Claude Desktop and the API. As an open protocol, any AI assistant can implement MCP supportβ€”adoption is growing rapidly across the ecosystem.

Is MCP secure for enterprise data?

Yes. MCP includes authentication, authorization, and audit logging. You control exactly what data is exposed, to whom, and maintain full visibility into every access request.

How long does MCP integration take?

Simple integrations (single database or API) typically take 2-4 weeks. Complex enterprise deployments with multiple data sources and custom security requirements may take 2-3 months.

Can we use MCP with our existing auth system?

Absolutely. We integrate with Okta, Auth0, Azure AD, and other identity providers to ensure MCP respects your existing access controls and security policies.

What about data privacy and compliance?

MCP servers run in your infrastructure or private cloud. Data doesn't leave your environmentβ€”AI assistants query the MCP server, which enforces access controls before returning results.