Xpersona
Claim this agent
Agent DossierGITHUB OPENCLEWSafety 94/100

Xpersona Agent

neo4j

Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP. --- name: neo4j description: Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP. metadata: {"openclaw":{"requires":{"bins":["python3","docker"]},"install":[{"id":"neo4j-driver","kind":"pip","package":"neo4j","bins":[],"label":"Install Neo4j Python driver"}],"env":["NEO4J_URI","NEO4J_USER","NEO4J_PASSWORD"]}} --- Neo4j Graph Skill for AGI What I do This skill

MCP · self-declared
1 GitHub starsTrust evidence available
View Source
git clone https://github.com/tescolopio/openclaw-neo4j-skill.git

Overall rank

#31

Adoption

1 GitHub stars

Trust

Unknown

Freshness

Apr 14, 2026

Freshness

Last checked Apr 14, 2026

Best For

neo4j is best for symbolic workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

OverviewEvidence & TimelineArtifacts & DocsAPI & ReliabilityMedia & RelatedMachine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP. --- name: neo4j description: Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP. metadata: {"openclaw":{"requires":{"bins":["python3","docker"]},"install":[{"id":"neo4j-driver","kind":"pip","package":"neo4j","bins":[],"label":"Install Neo4j Python driver"}],"env":["NEO4J_URI","NEO4J_USER","NEO4J_PASSWORD"]}} --- Neo4j Graph Skill for AGI What I do This skill Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.

No verified compatibility signals1 GitHub stars

Trust score

Unknown

Compatibility

MCP

Freshness

Apr 14, 2026

Vendor

Tescolopio

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/tescolopio/openclaw-neo4j-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Tescolopio

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

0

Examples

1

Snippets

0

Languages

typescript

Parameters

Executable Examples

python

import asyncio
import json
import os
import sys
from neo4j import GraphDatabase

uri = os.getenv('NEO4J_URI', 'bolt://localhost:7687')
user = os.getenv('NEO4J_USER', 'neo4j')
password = os.getenv('NEO4J_PASSWORD', 'password')

driver = GraphDatabase.driver(uri, auth=(user, password))

async def handle_request(request):
    method = request.get('method')
    params = request.get('params', {})
    
    if method == 'tools/list':
        return {
            'tools': [
                {
                    'name': 'query_graph',
                    'description': 'Run Cypher query for symbolic reasoning (read-only)',
                    'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string'}}}
                },
                {
                    'name': 'update_graph',
                    'description': 'Update graph (requires approval; use sparingly)',
                    'inputSchema': {'type': 'object', 'properties': {'cypher': {'type': 'string'}}}
                },
                {
                    'name': 'compute_centrality',
                    'description': 'Compute PageRank for influence analysis',
                    'inputSchema': {'type': 'object', 'properties': {'label': {'type': 'string'}, 'relationship': {'type': 'string'}}}
                },
                {
                    'name': 'visualize_graph',
                    'description': 'Generate Mermaid config for graph visualization',
                    'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string'}}}
                }
            ]
        }
    elif method == 'tools/call':
        tool_name = params['name']
        args = params['arguments']
        
        with driver.session() as session:
            if tool_name == 'query_graph':
                result = session.run(args['query'])
                records = [dict(record) for record in result]
                return {'content': [{'type': 'text', 'text': json.dumps(records)}]}

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP. --- name: neo4j description: Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP. metadata: {"openclaw":{"requires":{"bins":["python3","docker"]},"install":[{"id":"neo4j-driver","kind":"pip","package":"neo4j","bins":[],"label":"Install Neo4j Python driver"}],"env":["NEO4J_URI","NEO4J_USER","NEO4J_PASSWORD"]}} --- Neo4j Graph Skill for AGI What I do This skill

Full README

name: neo4j description: Interact with Neo4j graph database for knowledge graphs, Cypher queries, and AGI relational reasoning via MCP. metadata: {"openclaw":{"requires":{"bins":["python3","docker"]},"install":[{"id":"neo4j-driver","kind":"pip","package":"neo4j","bins":[],"label":"Install Neo4j Python driver"}],"env":["NEO4J_URI","NEO4J_USER","NEO4J_PASSWORD"]}}

Neo4j Graph Skill for AGI

What I do

This skill provides MCP tools for querying and updating a Neo4j knowledge graph, enabling relational reasoning in AI agents. It supports symbolic queries, graph updates, and computational algorithms like centrality.

When to use me

Use for AGI tasks requiring graph-based memory: pattern matching, multi-hop inference, influence analysis. Do not use for destructive operations unless explicitly allowed (e.g., updates are read-only by default).

Security Notes

  • Root Risk: Runs in Docker container with read-only filesystem, non-root user.
  • Keys Risk: Credentials via environment vars (NEO4J_*); never log or expose.
  • Agency Risk: Least privilege—queries only; updates require explicit approval.

Setup

  1. Run Neo4j: docker run -d --name neo4j -p 7474:7474 -p 7687:7687 -e NEO4J_AUTH=$NEO4J_USER/$NEO4J_PASSWORD neo4j:latest
  2. Install deps: pip install neo4j
  3. Set env: export NEO4J_URI=bolt://localhost:7687 NEO4J_USER=neo4j NEO4J_PASSWORD=password

MCP Server

Save as neo4j_mcp_server.py (run in container for security):

import asyncio
import json
import os
import sys
from neo4j import GraphDatabase

uri = os.getenv('NEO4J_URI', 'bolt://localhost:7687')
user = os.getenv('NEO4J_USER', 'neo4j')
password = os.getenv('NEO4J_PASSWORD', 'password')

driver = GraphDatabase.driver(uri, auth=(user, password))

async def handle_request(request):
    method = request.get('method')
    params = request.get('params', {})
    
    if method == 'tools/list':
        return {
            'tools': [
                {
                    'name': 'query_graph',
                    'description': 'Run Cypher query for symbolic reasoning (read-only)',
                    'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string'}}}
                },
                {
                    'name': 'update_graph',
                    'description': 'Update graph (requires approval; use sparingly)',
                    'inputSchema': {'type': 'object', 'properties': {'cypher': {'type': 'string'}}}
                },
                {
                    'name': 'compute_centrality',
                    'description': 'Compute PageRank for influence analysis',
                    'inputSchema': {'type': 'object', 'properties': {'label': {'type': 'string'}, 'relationship': {'type': 'string'}}}
                },
                {
                    'name': 'visualize_graph',
                    'description': 'Generate Mermaid config for graph visualization',
                    'inputSchema': {'type': 'object', 'properties': {'query': {'type': 'string'}}}
                }
            ]
        }
    elif method == 'tools/call':
        tool_name = params['name']
        args = params['arguments']
        
        with driver.session() as session:
            if tool_name == 'query_graph':
                result = session.run(args['query'])
                records = [dict(record) for record in result]
                return {'content': [{'type': 'text', 'text': json.dumps(records)}]}
            elif tool_name == 'update_graph':
                # Add approval check here
                session.run(args['cypher'])
                return {'content': [{'type': 'text', 'text': 'Graph updated'}]}
            elif tool_name == 'compute_centrality':
                cypher = f'CALL gds.pageRank.stream("{args["label"]}", "{args["relationship"]}") YIELD nodeId, score RETURN gds.util.asNode(nodeId).name AS name, score ORDER BY score DESC'
                result = session.run(cypher)
                records = [dict(record) for record in result]
                return {'content': [{'type': 'text', 'text': json.dumps(records)}]}
            elif tool_name == 'visualize_graph':
                # Generate Mermaid (simplified)
                result = session.run(args['query'])
                mermaid = "graph TD\n"
                for record in result:
                    if 'n' in record and 'm' in record:
                        mermaid += f"{record['n']} --> {record['m']}\n"
                return {'content': [{'type': 'text', 'text': mermaid}]}
    
    return {'error': 'Unknown method'}

async def main():
    while True:
        line = await asyncio.get_event_loop().run_in_executor(None, sys.stdin.readline)
        if not line:
            break
        request = json.loads(line.strip())
        response = await handle_request(request)
        response['jsonrpc'] = '2.0'
        response['id'] = request.get('id')
        print(json.dumps(response), flush=True)

asyncio.run(main())

Run securely: docker run --rm -e NEO4J_* -v $(pwd):/app python:3.9-slim /app/neo4j_mcp_server.py

Packaging

  • Docker Image: Build with Dockerfile for containerized execution.
  • ClawHub: Publish for distribution.

This skill enables AGI relational reasoning via graphs.

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Machine interfaces

Contract & API

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Related

Public screenshots, demo and owner links, plus neighboring agents from the same ecosystem for shortlist building.

Missingno-media

Visual context

Media & Demo

No screenshots, media assets, or demo links are available.

Comparison set

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Agent hubMore from this sourceMCP agents

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB OPENCLEW

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T04:35:24.772Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "symbolic",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile capability:symbolic|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Tescolopio",
    "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
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:21:22.124Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "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
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "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
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/tescolopio-openclaw-neo4j-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "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
  }
]

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