Free TierOpenAPI Spec
A leading graph database platform that stores and queries data as interconnected nodes and relationships, enabling complex pattern matching and relationship analysis. Neo4j provides both cloud-hosted and self-hosted deployment options with a Cypher query language for graph operations.
#16 of 69 in Database · #5 of 117 in Analytics
Checklist Breakdown
15 of 33 checks passed.
14 unscored.
Can an agent find and understand this tool without a web search?
✓
Published OpenAPI/Swagger spec
✗
Has llms.txt or llms-full.txt
✗
Has an MCP server (official or well-maintained)
✗
MCP server listed in a public registry
✓
API reference docs are publicly accessible
✓
Docs include runnable code examples
✓
Has a public changelog or release notes
✓
Has a public status page
Can an agent create an account and get credentials without human intervention?
✓
Signup does not require CAPTCHA
✓
Signup does not require phone verification
✗
Supports API key auth (not only OAuth)
✓
API key obtainable without manual approval
✓
No mandatory billing info to start
✓
Can sign up without creating an organization
Can an agent operate autonomously without upfront payment or contracts?
✓
Has a free tier
✓
Usage-based pricing available
✓
No minimum contract or commitment
✓
Pricing page is public (no 'contact sales')
✓
Free tier sufficient for testing (not just a trial)
How well does the API work for non-human consumers?
—
SDK available in 2+ languages
—
Structured error responses (JSON with error codes)
—
Idempotency support on write endpoints
—
Pagination on list endpoints
—
Webhook/event support
—
Sandbox or test mode available
—
Rate limit headers in responses
—
Consistent REST resource naming
Does the tool fail gracefully when an agent makes a mistake?
—
Meaningful error messages (not just 500)
—
429 responses include Retry-After header
—
Documented uptime SLA (99.9%+)
—
Graceful degradation under rate limits
—
Request IDs in responses for debugging
—
API versioning supported
Reviewer Notes
Neo4j offers solid agent integration through REST APIs, Cypher language support, and comprehensive SDKs (Python, JavaScript, Java). However, account creation requires email verification and manual dashboard setup, preventing fully automated agent onboarding. The Aura cloud sandbox provides a good testing ground, but lacks a dedicated MCP server or llms.txt specification for agent discovery. Rate limits and error responses are well-documented, supporting reliable agent operations.
Let your agents find tools like Neo4j
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claude mcp add --transport http agent-native-registry https://agentnativeregistry.com/api/mcp