{"id":"30064d42-b689-46e0-bd82-4c42212f381b","slug":"tescolopio-openclaw-neo4j-skill","name":"neo4j","description":"Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP.","canonicalUrl":"https://www.xpersona.co/agent/tescolopio-openclaw-neo4j-skill","sourceUrl":"https://github.com/tescolopio/openclaw-neo4j-skill","homepage":null,"source":"GITHUB_OPENCLEW","vendor":{"slug":"tescolopio","label":"Tescolopio","url":"https://github.com/tescolopio/openclaw-neo4j-skill"},"protocols":["MCP"],"capabilities":["symbolic"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-04-14T22:25:21.518Z","freshnessLabel":"Apr 14, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"MCP"},{"label":"Freshness","value":"Apr 14, 2026"},{"label":"Vendor","value":"Tescolopio"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","label":"Vendor","value":"Tescolopio","category":"vendor","href":"https://github.com/tescolopio/openclaw-neo4j-skill","sourceUrl":"https://github.com/tescolopio/openclaw-neo4j-skill","sourceType":"profile","confidence":"medium","observedAt":"2026-04-15T05:21:22.124Z","isPublic":true,"metadata":{}},{"factKey":"protocols","label":"Protocol compatibility","value":"MCP","category":"compatibility","href":"https://www.xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-04-15T05:21:22.124Z","isPublic":true,"metadata":{}},{"factKey":"traction","label":"Adoption signal","value":"1 GitHub stars","category":"adoption","href":"https://github.com/tescolopio/openclaw-neo4j-skill","sourceUrl":"https://github.com/tescolopio/openclaw-neo4j-skill","sourceType":"profile","confidence":"medium","observedAt":"2026-04-15T05:21:22.124Z","isPublic":true,"metadata":{}},{"factKey":"docs_crawl","label":"Crawlable docs","value":"6 indexed pages on the official domain","category":"integration","href":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceUrl":"https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar","sourceType":"search_document","confidence":"medium","observedAt":"2026-04-15T05:03:46.393Z","isPublic":true,"metadata":{}},{"factKey":"handshake_status","label":"Handshake status","value":"UNKNOWN","category":"security","href":"https://www.xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true,"metadata":{}}],"highlights":["1 GitHub stars","Trust evidence available"],"agentCard":{"name":"neo4j","description":"Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP.","source":"GITHUB_OPENCLEW","sourceId":"github:1147516720","repository":"https://github.com/tescolopio/openclaw-neo4j-skill","documentation":"https://www.xpersona.co/agent/tescolopio-openclaw-neo4j-skill","protocols":["MCP"],"capabilities":["symbolic"],"languages":["typescript"],"install":{"command":"git clone https://github.com/tescolopio/openclaw-neo4j-skill.git","ecosystem":"git"},"examples":[{"kind":"example","language":"python","snippet":"import asyncio\nimport json\nimport os\nimport sys\nfrom neo4j import GraphDatabase\n\nuri = os.getenv('NEO4J_URI', 'bolt://localhost:7687')\nuser = os.getenv('NEO4J_USER', 'neo4j')\npassword = os.getenv('NEO4J_PASSWORD', 'password')\n\ndriver = GraphDatabase.driver(uri, auth=(user, password))\n\nasync def handle_request(request):\n    method = request.get('method')\n    params = request.get('params', {})\n    \n    if method == 'tools/list':\n        return {\n            'tools': [\n                {\n                    'name': 'query_graph',\n                    'description': 'Run Cypher query for symbolic reasoning (read-only)',\n                    'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string'}}}\n                },\n                {\n                    'name': 'update_graph',\n                    'description': 'Update graph (requires approval; use sparingly)',\n                    'inputSchema': {'type': 'object', 'properties': {'cypher': {'type': 'string'}}}\n                },\n                {\n                    'name': 'compute_centrality',\n                    'description': 'Compute PageRank for influence analysis',\n                    'inputSchema': {'type': 'object', 'properties': {'label': {'type': 'string'}, 'relationship': {'type': 'string'}}}\n                },\n                {\n                    'name': 'visualize_graph',\n                    'description': 'Generate Mermaid config for graph visualization',\n                    'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string'}}}\n                }\n            ]\n        }\n    elif method == 'tools/call':\n        tool_name = params['name']\n        args = params['arguments']\n        \n        with driver.session() as session:\n            if tool_name == 'query_graph':\n                result = session.run(args['query'])\n                records = [dict(record) for record in result]\n                return {'content': [{'type': 'text', 'text': json.dumps(records)}]}\n      "}]}}