Skip to content

AI connectors for business

Connect Claude and ChatGPT to the systems your business runs.

We build custom Claude connectors, MCP servers, and ChatGPT plugins for the systems no off-the-shelf connector covers. Done for you: scoped around your questions, secured with per-user access, hosted, and maintained.

Connectors by system

MCP servers we have built

Built and tested by Prestyj. Client names withheld.

  • Portfolio data connector for an investment firm

    Yardi via Power BI · Monday.com · SharePoint

    A remote, read-only MCP server that answers portfolio questions from evidence-backed records across three source systems.

    • Streamable HTTP endpoint with OAuth protected-resource metadata and a delegated, API-scoped token per user
    • Denied data is reported as withheld, never guessed or filled from another source
    • Conflicting sources are shown side by side with their evidence instead of being averaged
    • Server instructions kept under the 2,048 character limit Claude Code applies, enforced by a test
  • Connect-once business memory over MCP

    Monday.com · Yardi · SharePoint · Postgres

    Syncs a company's apps into typed facts in Postgres once, then hands them to any AI client over MCP.

    • Six tools: schema, brief, read-only SQL with a five second cap, document search, open conflicts, and resolve conflict
    • When sources disagree, a person answers once and the answer becomes a rule
    • Works in Claude Desktop, Claude Code, and any other MCP host
  • Governed context server for a research platform

    Versioned context API · Webhooks

    A stdio MCP server with 24 workflow-specific tools that never sees a database URL or tenant ID.

    • The API key resolves the tenant; caller-supplied tenant or access fields are rejected before execution
    • Every tool enforces a scope plus result, time, output-token, and cost ceilings
    • Read-only by default; writes need a separate switch, explicit confirmation, and an idempotency key
    • A tool-selection benchmark checks that the model picks the right tool for each question
  • Multi-tenant MCP for isolated customer deployments

    Per-customer deployment · Per-customer database

    One codebase deployed separately for each customer, with an MCP endpoint whose tool catalog comes from that customer's configuration.

    • OAuth token introspection with a dedicated read scope
    • Per-token rate limits and bounded request sizes
    • No customer data or secrets in the shared code or deployment packs

Guides

Start with the questions.

Bring ten questions your team wants answered and the systems that hold the answers. We will come back with a written scope and a fixed price.

Book a scoping call