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Sell and retrieve priced graph answers through parameterized Cypher query templates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cypher-mcp" yet — see the docs or source repo.
Use the Cypher template named company_supply_chain with parameter company=Tesla. Return its first-tier suppliers, relationship types, and data sources, and show the required payment amount.
Returns pricing details and, after payment, provides structured graph query results for suppliers.
Call the named_person_connection template with personA=Satoshi Nakamoto and personB=Hal Finney. Output the shortest relationship path in the graph and list each node and edge step.
Returns the query price and, after payment, the detailed shortest-path result.
Design a parameterized Cypher query template for a knowledge graph operator to query funding history by company name. Include the template name, parameter definitions, return fields, and pricing suggestions.
Produces a query template design suitable for operators to offer paid graph answers externally.
Query and explore Neo4j graph databases with natural language and Cypher.
Access Bitcoin mempool intelligence and on-prem AI inference with pay-per-call sats.
Build, analyze, and visualize relationship graphs with powerful graph algorithms.
Run Cypher queries and inspect Neo4j schemas for AI-driven graph exploration.
Query Neo4j graph databases with natural language for fast relationship insights.
Connect AI to Graphlit for content access, retrieval, and context automation.