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MCP servers — the bridge between your systems and any AI model.

The Model Context Protocol is becoming the standard way AI agents interact with private data and internal tools. We design and build production MCP servers — with proper auth, observability, rate limiting, and the safety boundaries enterprise deployments require.

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MCP Server Development
Deliverables
  • MCP server in your hosting environment
  • Tool definitions matched to your APIs
  • Resource handlers for your data layer
  • Prompt template library
  • Auth and rate limiting
  • Observability + cost monitoring
  • Documentation for your AI consumers
Projected Impact

AI agents that can actually do work in your stack — not chat about it. Most clients see meaningful agent capability within 4 weeks of MCP server deployment.

Selected work

Production work using this service

Anonymized engagements with real metrics — no client names per NDA.

Legal

Contract Analysis and Clause Extraction Pipeline

82%

Time Reduction

93%

Extraction Accuracy

2.8x

Review Throughput

We were spending six hours per contract on review work that should have been automated years ago. The extraction accuracy is high enough that our lawyers now start from the AI output and spend their time on the obligations that actually require judgement.

Managing Associate, Corporate Practice Group

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Finance

AI Query Assistant for Wealth Management

68%

Query Deflection

4.1s

Avg Response Time

3.2x

Advisor Throughput

The query volume our advisors were handling manually dropped within the first month. The system handles the routine questions correctly, escalates when it should, and our compliance team signed off on every response template before it went live.

Head of Advisory Operations, Wealth Management Firm

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Ready to get started?

Tell us what you are building. We will scope it, price it honestly, and give you a clear plan.

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Free 30-min scoping call