How Descope launched a Docs MCP Server with Inkeep to meet developers where they work

Problem: Documentation Had Drifted Away from Real Developer Workflows

Descope saw a growing mismatch between where documentation lived and where developers actually worked.

Product knowledge was spread across documentation pages, reference material, changelogs, and public repositories. At the same time, implementation work increasingly happened inside IDEs, terminals, code review tools, and AI assistant conversations.

This created a familiar friction:

• Developers had to context-switch out of active coding flows just to locate docs.
• Teams repeated manual searches for information that already existed.
• AI assistance risked becoming inconsistent when it could not reliably access up-to-date source material.

Descope wanted a way for AI assistants to answer product questions from the right source content, directly inside developer workflows.

Solution: A Hosted Docs MCP Server Powered by Inkeep

Descope launched a hosted Docs MCP Server that centralizes public Descope knowledge behind a single endpoint: https://docs-mcp.descope.com/mcp.

The design principles were clear:

1. Predictable interface: One MCP endpoint for docs retrieval.
2. Read-only model: Safe-by-default access for assistant workflows.
3. Low setup overhead: No package installation or authentication required to connect.

This let MCP-aware assistants access grounded Descope knowledge where users were already building.

Implementation: Two Focused Tools and a Progressive Discovery Flow

The Docs MCP Server exposes two read-only tools:

• search-descope-docs: semantic search across Descope documentation and related public sources.
• ask-question-about-descope: grounded synthesis for complete, contextual answers.

In practice, this supports a practical flow:

1. Search to locate relevant concepts, APIs, and supporting excerpts.
2. Synthesize into an end-to-end answer scoped to the developer's use case.
3. Iterate with follow-up prompts for framework-specific details.

Descope highlighted this workflow in a Next.js example, showing how teams can move from natural-language request to implemented auth flow with significantly less docs navigation overhead.

Why This Approach Worked

This pattern maps well to Inkeep's AI-for-customers platform model:

• Ingest content from docs, websites, FAQs, repositories, and community sources.
• Serve answers through the channels users already use.
• Monitor interactions to identify gaps and improve source quality over time.

By combining retrieval and synthesis on top of curated content, Descope could improve answer quality without forcing teams to build and maintain custom RAG infrastructure from scratch.

Results: Better Access, Lower Friction, Safer Rollout

From Descope's announcement, the immediate outcomes are clear:

• Lower context switching: developers can ask inside their coding environment.
• Faster path to implementation: teams move from question to action with less manual discovery work.
• Grounded responses: answers are anchored to source documentation instead of model memory.
• Reduced operational risk: a read-only MCP design keeps the assistant interface constrained.

For teams evaluating MCP initiatives, this is a practical blueprint: start with high-value documentation workflows, keep interfaces narrow, and prove value quickly in real developer scenarios.

What Other Teams Can Reuse

Descope's launch offers a repeatable playbook for product and platform teams:

1. Start with docs, not broad agent automation. Documentation Q&A is high-frequency and easy to validate.
2. Constrain the initial interface. Read-only tools reduce security and governance complexity.
3. Pair search with synthesis. Retrieval alone is not enough for multi-step implementation questions.
4. Ship where users already are. IDE-native support has stronger adoption than requiring new destinations.

Get Started with Your Own MCP Server

If you want to build an MCP Server powered by your own content, our Inkeep MCP & RAG API tutorial walks through the end-to-end setup, from making your first RAG API call to exposing tools in an MCP Server that works with Cursor, Claude Desktop, and other MCP clients.

Inkeep offers flexible deployment options depending on your team's needs. You can use our managed MCP Server to get started immediately with zero infrastructure, or self-host your own server for full control over deployment and customization — the same approach Descope took. Both options are covered in our MCP Server documentation.

Looking Forward

Descope's Docs MCP Server shows what becomes possible when product knowledge is powered by a purpose-built AI platform. Inkeep handles ingestion, retrieval, and grounded synthesis so teams can ship production-grade MCP experiences without building custom RAG infrastructure.

Whether you need an MCP Server, chat widget, Slack bot, or API-driven copilot, Inkeep provides the unified AI layer that keeps every channel grounded in your source content — the fastest path from documentation to developer-ready AI.

Sources

• Descope: Introducing the Descope Docs MCP Server
• Inkeep Cloud: AI for Customers
• Inkeep MCP & RAG API Tutorial
• Inkeep MCP Server Documentation