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    AI agent development · MCP

    MCP Readiness: make your AI agent development stack portable in 4 weeks.

    The Model Context Protocol (MCP) — donated to the Linux Foundation's Agentic AI Foundation in December 2025 — is now natively supported by Anthropic, OpenAI, Google, AWS Bedrock, Microsoft Copilot Studio, Glean, Notion, Salesforce Agentforce and Cursor. Gartner forecasts 75% of API gateway vendors and 50% of iPaaS vendors will ship MCP features by end of 2026. We make sure you're ready.

    Why MCP matters for AI agent development

    MCP is the portability anchor for the agentic stack. Wire your tools through MCP servers once, and you can swap models, frameworks or platforms — Claude to GPT, LangGraph to Agentforce, on-prem to cloud — without rewriting integrations. Skip MCP and every model migration becomes a tool migration.

    • MCP is now native across Anthropic, OpenAI, Google, AWS, Microsoft, Glean, Notion and Salesforce.
    • Donated to the Linux Foundation's Agentic AI Foundation (Dec 2025) — a true open standard.
    • Cursor, Granola, Lovable, HubSpot, Linear, Figma, Mistral and Perplexity ship first-party MCP integrations.
    • Gartner: 75% of API gateways and 50% of iPaaS vendors ship MCP by end of 2026.

    MCP Readiness Assessment

    4 weeks · fixed scope · from $20K

    • Inventory of every internal tool, API and write action that an agent might call.
    • Permission model audit (RBAC + ABAC + ReBAC) and ACL propagation gaps.
    • MCP server design: scopes, audit logging, dry-run modes, rate limits.
    • Reference implementation: 2 production-grade MCP servers shipped to your environment.
    • LLM gateway policy: per-action approval chains, dollar thresholds, tenant isolation.
    • Roadmap to 100% agent-portable tools.
    Request MCP Readiness

    Our MCP delivery process

    1. 01

      Discovery

      Map every tool, API and action. Score each by frequency, risk and ACL complexity.

    2. 02

      Design

      MCP server architecture per system. Scopes, schemas, audit hooks, dry-run modes.

    3. 03

      Build

      Two reference MCP servers shipped, code-reviewed, deployed to your VPC.

    4. 04

      Govern

      LLM gateway policy + AgentOps runbooks. Your team owns the keys; we operate or hand over.

    Tied to the closed loop

    MCP shows up most directly in stage 05 (Act), but it threads through the whole loop — every connector in stage 01, every tool the reasoning layer calls in stage 04, and every write-back to source systems. See how it factors into build vs buy decisions and our case studies.

    See Stage 05 — Act →See the full Loop →See Ecosystem partners →