Crawler Summary

@aindreyway/mcp-neurolora answer-first brief

An MCP server for collecting and documenting code from directories MCP Neurolora An intelligent MCP server that provides tools for code analysis using OpenAI API, code collection, and documentation generation. ๐Ÿš€ Installation Guide Don't worry if you don't have anything installed yet! Just follow these steps or ask your assistant to help you with the installation. Step 1: Install Node.js macOS 1. Install Homebrew if not installed: 2. Install Node.js 18: Windows 1. Download Node.js 1 Published capability contract available. No trust telemetry is available yet. 15 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

@aindreyway/mcp-neurolora is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 93/100

@aindreyway/mcp-neurolora

An MCP server for collecting and documenting code from directories MCP Neurolora An intelligent MCP server that provides tools for code analysis using OpenAI API, code collection, and documentation generation. ๐Ÿš€ Installation Guide Don't worry if you don't have anything installed yet! Just follow these steps or ask your assistant to help you with the installation. Step 1: Install Node.js macOS 1. Install Homebrew if not installed: 2. Install Node.js 18: Windows 1. Download Node.js 1

MCPverified

Public facts

7

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal15 GitHub stars

Published capability contract available. No trust telemetry is available yet. 15 GitHub stars reported by the source. Last updated 2/24/2026.

15 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Aindreyway

Artifacts

0

Benchmarks

0

Last release

1.4.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 15 GitHub stars reported by the source. Last updated 2/24/2026.

Setup snapshot

git clone https://github.com/aindreyway/mcp-neurolora.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  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 Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Aindreyway

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

MCP

contracthigh
Observed Feb 24, 2026Source linkProvenance

Auth modes

mcp, api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

15 GitHub stars

profilemedium
Observed Feb 24, 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

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

bash

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

bash

brew install node@18
   echo 'export PATH="/opt/homebrew/opt/node@18/bin:$PATH"' >> ~/.zshrc
   source ~/.zshrc

bash

curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -

bash

curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
sudo apt-get install -y nodejs

bash

curl -LsSf https://astral.sh/uv/install.sh | sh

bash

curl -LsSf https://astral.sh/uv/install.sh | sh

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

An MCP server for collecting and documenting code from directories MCP Neurolora An intelligent MCP server that provides tools for code analysis using OpenAI API, code collection, and documentation generation. ๐Ÿš€ Installation Guide Don't worry if you don't have anything installed yet! Just follow these steps or ask your assistant to help you with the installation. Step 1: Install Node.js macOS 1. Install Homebrew if not installed: 2. Install Node.js 18: Windows 1. Download Node.js 1

Full README

MCP Neurolora

MCP Server Version License

An intelligent MCP server that provides tools for code analysis using OpenAI API, code collection, and documentation generation.

๐Ÿš€ Installation Guide

Don't worry if you don't have anything installed yet! Just follow these steps or ask your assistant to help you with the installation.

Step 1: Install Node.js

macOS

  1. Install Homebrew if not installed:
    /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
    
  2. Install Node.js 18:
    brew install node@18
    echo 'export PATH="/opt/homebrew/opt/node@18/bin:$PATH"' >> ~/.zshrc
    source ~/.zshrc
    

Windows

  1. Download Node.js 18 LTS from nodejs.org
  2. Run the installer
  3. Open a new terminal to apply changes

Linux (Ubuntu/Debian)

curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
sudo apt-get install -y nodejs

Step 2: Install uv and uvx

All Operating Systems

  1. Install uv:

    curl -LsSf https://astral.sh/uv/install.sh | sh
    
  2. Install uvx:

    uv pip install uvx
    

Step 3: Verify Installation

Run these commands to verify everything is installed:

node --version  # Should show v18.x.x
npm --version   # Should show 9.x.x or higher
uv --version    # Should show uv installed
uvx --version   # Should show uvx installed

Step 4: Configure MCP Server

Your assistant will help you:

  1. Find your Cline settings file:

    • VSCode: ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
    • Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows VSCode: %APPDATA%/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
    • Windows Claude: %APPDATA%/Claude/claude_desktop_config.json
  2. Add this configuration:

    {
      "mcpServers": {
        "aindreyway-mcp-neurolora": {
          "command": "npx",
          "args": ["-y", "@aindreyway/mcp-neurolora@latest"],
          "env": {
            "NODE_OPTIONS": "--max-old-space-size=256",
            "OPENAI_API_KEY": "your_api_key_here"
          }
        }
      }
    }
    

Step 5: Install Base Servers

Simply ask your assistant: "Please install the base MCP servers for my environment"

Your assistant will:

  1. Find your settings file
  2. Run the install_base_servers tool
  3. Configure all necessary servers automatically

After the installation is complete:

  1. Close VSCode completely (Cmd+Q on macOS, Alt+F4 on Windows)
  2. Reopen VSCode
  3. The new servers will be ready to use

Important: A complete restart of VSCode is required after installing the base servers for them to be properly initialized.

Note: This server uses npx for direct npm package execution, which is optimal for Node.js/TypeScript MCP servers, providing seamless integration with the npm ecosystem and TypeScript tooling.

Base MCP Servers

The following base servers will be automatically installed and configured:

  • fetch: Basic HTTP request functionality for accessing web resources
  • puppeteer: Browser automation capabilities for web interaction and testing
  • sequential-thinking: Advanced problem-solving tools for complex tasks
  • github: GitHub integration features for repository management
  • git: Git operations support for version control
  • shell: Basic shell command execution with common commands:
    • ls: List directory contents
    • cat: Display file contents
    • pwd: Print working directory
    • grep: Search text patterns
    • wc: Count words, lines, characters
    • touch: Create empty files
    • find: Search for files

๐ŸŽฏ What Your Assistant Can Do

Ask your assistant to:

  • "Analyze my code and suggest improvements"
  • "Install base MCP servers for my environment"
  • "Collect code from my project directory"
  • "Create documentation for my codebase"
  • "Generate a markdown file with all my code"

๐Ÿ›  Available Tools

analyze_code

Analyzes code using OpenAI API and generates detailed feedback with improvement suggestions.

Parameters:

  • codePath (required): Path to the code file or directory to analyze

Example usage:

{
  "codePath": "/path/to/your/code.ts"
}

The tool will:

  1. Analyze your code using OpenAI API
  2. Generate detailed feedback with:
    • Issues and recommendations
    • Best practices violations
    • Impact analysis
    • Steps to fix
  3. Create two output files in your project:
    • LAST_RESPONSE_OPENAI.txt - Human-readable analysis
    • LAST_RESPONSE_OPENAI_GITHUB_FORMAT.json - Structured data for GitHub issues

Note: Requires OpenAI API key in environment configuration

collect_code

Collects all code from a directory into a single markdown file with syntax highlighting and navigation.

Parameters:

  • directory (required): Directory path to collect code from
  • outputPath (optional): Path where to save the output markdown file
  • ignorePatterns (optional): Array of patterns to ignore (similar to .gitignore)

Example usage:

{
  "directory": "/path/to/project/src",
  "outputPath": "/path/to/project/src/FULL_CODE_SRC_2024-12-20.md",
  "ignorePatterns": ["*.log", "temp/", "__pycache__", "*.pyc", ".git"]
}

install_base_servers

Installs base MCP servers to your configuration file.

Parameters:

  • configPath (required): Path to the MCP settings configuration file

Example usage:

{
  "configPath": "/path/to/cline_mcp_settings.json"
}

๐Ÿ”ง Features

The server provides:

  • Code Analysis:

    • OpenAI API integration
    • Structured feedback
    • Best practices recommendations
    • GitHub issues generation
  • Code Collection:

    • Directory traversal
    • Syntax highlighting
    • Navigation generation
    • Pattern-based filtering
  • Base Server Management:

    • Automatic installation
    • Configuration handling
    • Version management

๐Ÿ“„ License

MIT License - feel free to use this in your projects!

๐Ÿ‘ค Author

Aindreyway

โญ๏ธ Support

Give a โญ๏ธ if this project helped you!

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

No

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Protocol support is explicitly confirmed in contract metadata.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

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

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/aindreyway/mcp-neurolora#input",
  "outputSchemaRef": "https://github.com/aindreyway/mcp-neurolora#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:43.080Z",
  "sourceUpdatedAt": "2026-02-24T19:46:43.080Z",
  "freshnessSeconds": 4422188
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T00:09:51.554Z"
    }
  },
  "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": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "documentation",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "code-collection",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:mcp|supported|profile capability:documentation|supported|profile capability:code-collection|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:43.080Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:43.080Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/aindreyway/mcp-neurolora#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:43.080Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Aindreyway",
    "href": "https://github.com/aindreyway/mcp-neurolora",
    "sourceUrl": "https://github.com/aindreyway/mcp-neurolora",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "15 GitHub stars",
    "href": "https://github.com/aindreyway/mcp-neurolora",
    "sourceUrl": "https://github.com/aindreyway/mcp-neurolora",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-aindreyway-mcp-neurolora/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท 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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