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The New GitBook logo
The New GitBook
✓ verifiedFreemium

Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.

653K visits/mo2.9K saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Mintlify logo
Mintlify
✓ verifiedFreemium

Documentation and knowledge platform that keeps developer docs self-updating and queryable by AI agents.

718K visits/mo
Dagster logo
Dagster
✓ verifiedFreemium

Open-source asset-based data orchestrator, with Dagster+ cloud, for building, observing and delivering reliable data and AI pipelines.

152K visits/mo
Pricing

No public pricing

Free trial available

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Starter: $0/mo (individuals and small teams)

Free trial available

Solo: $10/mo + $0.040/credit (1 user)
Starter: $100/mo + $0.035/credit (up to 3 users)

Free trial available

Core features
  • Publish structured documentation sites
  • Git sync for docs-as-code workflows
  • AI setup agent to build and import docs
  • GitBook MCP server for AI access
  • Enterprise controls
  • Free tier to start
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
  • Self-updating documentation
  • Web-based documentation editor
  • Custom domain hosting
  • Built-in search and API playground
  • MCP server for agent access
  • Authentication and access controls
  • Asset-based pipeline orchestration
  • Built-in lineage and data-quality checks
  • Data catalog with asset metadata
  • Native dbt, Snowflake and Fivetran integrations
  • Branch deployments and hybrid deployment
  • Open-source core plus managed Dagster+ cloud
Use cases
  • Publish product and API documentation
  • Maintain docs-as-code with Git sync
  • Make docs consumable by AI assistants
  • Import existing docs into a hosted site
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
  • Publish and maintain developer documentation
  • Expose docs to AI agents via MCP
  • Host a branded docs site on a custom domain
  • Give teams a collaborative doc editor
  • Orchestrate ETL/ELT and dbt pipelines
  • Monitor data health and lineage
  • Build AI/ML data pipelines
  • Run reliable, observable data platforms
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