HP
Case Study

ServiceNow Docs MCP Server

An MCP server that gives AI agents fast, reliable access to the full ServiceNow documentation catalog.

Snapshot

A retrieval layer purpose-built for AI agents working on the ServiceNow platform.

PythonFastMCPChromaDBHuggingFaceFly.io
ServiceNow Docs MCP demo screenshot
287,271
chunks indexed

Full ServiceNow docs ingested into ChromaDB.

231
bundle filters

Scope searches to a specific product area or release.

4
MCP tools

Search, list bundles, reassemble full docs, and health stats.

Architecture
ServiceNow DocsHuggingFace datasetraw docs1Ingestembed corpus · generate vectors · load ChromaDBvectors + metadataFLY.IO2Indexproduct area · title · URL · positionvector queries3ServeFastMCP · search · bundles · get_page · healthtool responsesAgentClaude · Now Assist · MCP clients
Problem

AI agents working on ServiceNow tasks need documentation that is both broad and trustworthy. Live scraping is fragile and slow; general web search is unreliable.

ServiceNow currently does not have an official MCP Server that serves up product documentation.

Features
  • Tools: semantic search, bundle discovery, full-document reconstruction, health reporting.
  • Runs locally with zero config or accessible from any MCP-compatible client.
  • Tests cover tool behavior, auth middleware, startup validation, and ingest logic.
Retrieval Quality

A simple evaluation benchmarks the index against representative ServiceNow tasks such as incident management, Flow Designer error handling, GlideRecord usage, and Event Management rules.

Average top-1 score of 0.741