Model Context Protocol (MCP) – The Unified Interface for AI Agents

Model Context Protocol (MCP) – The Unified Interface for AI Agents

by | Sep 28, 2025 | Uncategorized

What is MCP?

The Model Context Protocol (MCP) is an open standard designed to allow AI agents and language models to access external tools and contextual data in a structured, secure, and scalable way. Initially developed by Anthropic, MCP is meant to serve as a universal bridge between large language models (LLMs) and real-world systems such as file storage, APIs, databases, messaging platforms, and more.

Why MCP Matters

Previously, integrating AI models into apps required a patchwork of custom APIs and ad-hoc glue code. MCP streamlines this by defining a consistent protocol for how models can access tools (tools), resources (resources), and prompts (prompts), thus drastically reducing engineering complexity.

MCP is being referred to as the “USB-C for AI agents” because it standardizes the way models connect to external functionality — regardless of where the tool or data resides.

How MCP Works

MCP is based on a client-server architecture:

  • MCP Client: Runs inside the host AI application (e.g. a chat UI or IDE).
  • MCP Server: Exposes functionality or data sources via a standard JSON-RPC 2.0 interface.

The server can register three main elements:

  • tools – callable functions with side effects (e.g., send an email, fetch an API result).
  • resources – read-only data context such as files or database records.
  • prompts – templates that help models interact more effectively with tools/resources.

Core Benefits

  • Standardized Interfaces: Unified access method for all tools and data.
  • Reduced Complexity: Replace M × N integration problem with M + N.
  • AI-Native Design: Designed specifically for agent workflows with LLMs.
  • Open Source & Vendor-Neutral: No vendor lock-in, full community contributions.

Use Cases

Here are some real-world scenarios where MCP is being used:

  • Document Search: Connect to Google Drive or local file systems.
  • Dev Tools: Access GitHub, issue trackers, and build logs.
  • Communication: Read and act on Slack messages or email threads.
  • Enterprise Knowledge Bases: Use SharePoint or Azure Cognitive Search to answer business queries.
  • Code Assistance: IDEs like Replit and Zed use MCP to give code-aware AI help.

Supported Ecosystem

MCP is supported by a growing list of platforms and SDKs:

  • Anthropic: Built-in support in Claude desktop and tooling.
  • OpenAI: Integrates MCP into its Agents SDK.
  • Microsoft: Adopted in Azure AI Agents.
  • Open Source: Dozens of open MCP servers available on GitHub.

Conclusion

The Model Context Protocol represents a significant leap forward in AI agent integration. By standardizing how tools and data are exposed to models, MCP empowers developers to build agents that are smarter, faster, and better integrated with the real world.

 

Generate Instagram & Facebook Long-Lived Token

Generate Instagram & Facebook Long-Lived Token

by | Sep 26, 2025 | Uncategorized

User Guide – n8n Workflow

“Generate Instagram & Facebook Long-Lived Token & Retrieve IG Business Account ID”

This guide explains how to import, configure, run, and understand the provided n8n workflow. It also covers security best practices and troubleshooting.

Download this Workflow and import in your n8n Workflow:
FaceBook-Long-Lived-Token.json

1) Overview

This workflow performs three tasks:

  1. Exchanges a Short-Lived User Access Token for a Long-Lived User Token (~60 days valid).
  2. Lists all Facebook Pages linked to that user (with Page ID & Page Token).
  3. Retrieves the Instagram Business/Creator Account ID linked to each Page.

Workflow Nodes:

  • Manual Trigger → start the workflow manually
  • ⚙️ Config (Set) → enter your App data and Short-Lived Token
  • Generate Instagram Long Lived Token (Code/Function) → API calls and main logic
  • Output (Set) → displays the Long-Lived Token in a simple field

2) Requirements

  • A Facebook App (App ID & App Secret).
  • A fresh Short-Lived User Access Token created for your app.
    • Create via the Graph API Explorer: <https://developers.facebook.com/tools/explorer/>
  • The user of the token must have Page permissions (Admin/Editor).
  • The Page must be linked to an Instagram Business or Creator account.
  • Recommended Scopes:
    • pages_show_list, pages_read_engagement, instagram_basic (optionally business_management).

> ⚠️ Note: If your app is in Development Mode, the user must be added as a Tester/Developer/Admin in the app settings.

3) Import into n8n

  1. Open n8n → Workflows → Import.
  2. Paste or upload the provided JSON.
  3. Open the imported workflow.

4) Configuration (⚙️ Config Node)

Fill out the fields in the ⚙️ Config node:

  • API_VERSION → e.g. v23.0
  • APP_ID → your Facebook App ID
  • APP_SECRET → your Facebook App Secret
  • SHORT_LIVED_TOKEN → your fresh User Token (from Graph API Explorer)

> 💡 Security Tip: Use n8n Credentials or Environment Variables instead of hardcoding sensitive values.

5) Create a Short-Lived Token (Graph API Explorer)

  1. Open the Graph API Explorer.
  2. Select your app.
  3. Click Get User Access Token.
  4. Select the required scopes:
    • pages_show_list
    • pages_read_engagement
    • instagram_basic
    • (optionally business_management)
  5. Click Generate Access Token.
  6. Copy the token into the SHORT_LIVED_TOKEN field in the Config node.

6) Run the Workflow

  1. Click Execute Workflow on the Manual Trigger node.
  2. The Generate Instagram Long Lived Token node performs the API calls.
  3. The Output node shows the longLivedToken.
  4. Full details (Pages + IG IDs) are visible in the execution output of the Code node.

7) Understanding the Output

The workflow returns multiple items:

  • Item 0 (meta):

    • longLivedToken – the new ~60-day User Token
    • apiVersion, pagesCount, expiresIn

  • Item 1…n (per Page):

    • pageName, pageId, pageToken
    • instagramBusinessAccountId (if linked, otherwise null)
    • hasInstagramBusinessAccount (Boolean)

Best practice:

  • Use a Set node to extract only required fields (e.g. pageId, instagramBusinessAccountId).
  • Use an IF node to filter only Pages that have an IG ID.
  • Store tokens securely (Credentials/Secrets).

8) Security & Best Practices

  • 🔒 Never share tokens in screenshots or logs.
  • ♻️ Rotate tokens before they expire.
  • ✅ Use the principle of least privilege (only required scopes).
  • 🔐 Keep your n8n workflow private unless scrubbed of secrets.

9) Troubleshooting

❌ Error: code 190, subcode 463 (OAuthException)

  • Cause: Short-Lived User Token expired.
  • Fix: Generate a new token in the Graph API Explorer and re-run.

❌ Error: (#200) Permissions error

  • Cause: Missing scopes or insufficient Page permissions.
  • Fix: Add scopes, ensure the user is Page Admin/Editor, verify IG linking.

⚠️ Empty instagramBusinessAccountId

  • Cause: Page not linked to an IG Business/Creator account.
  • Fix: Link the Page to an IG account in Meta Business/Accounts Center.

❌ Wrong App selected

  • Cause: Short-Lived Token does not belong to the App ID/Secret configured.
  • Fix: Generate the token using the correct app in the Explorer.

⚙️ Development vs Live Mode

  • Dev Mode: user must be added as Tester/Developer/Admin.
  • Live Mode: some scopes may require App Review.

10) Example cURL Checks

Exchange Short-Lived → Long-Lived Token:

curl -G "https://graph.facebook.com/v23.0/oauth/access_token" \
  --data-urlencode "grant_type=fb_exchange_token" \
  --data-urlencode "client_id=APP_ID" \
  --data-urlencode "client_secret=APP_SECRET" \
  --data-urlencode "fb_exchange_token=SHORT_USER_TOKEN"

11) FAQ

How long is a Long-Lived Token valid?
~60 days. Refresh it regularly.

What’s the difference between User Token & Page Token?
User Token: belongs to a user, used to fetch Pages (/me/accounts).

Page Token: belongs to a Page, used for Page-specific requests.

Can this process be automated?
Yes. Implement an OAuth Authorization Code flow in your app → exchange for a Short-Lived Token → swap for Long-Lived Token → use in n8n.

Workflow & Documentation by @iMan
https://imanetworks.ch/

Automate 
 with this Workflow

How to Enable GitHub Copilot in VS Code with an Ollama Server Endpoint

How to Enable GitHub Copilot in VS Code with an Ollama Server Endpoint

by | Sep 22, 2025 | Uncategorized

Even though the configuration allows you to point GitHub Copilot to a local Ollama server, keep in mind that this does not guarantee that prompts or other data will not be sent to Microsoft. GitHub Copilot may still transmit usage data or requests depending on your setup and account. Use with caution if privacy is a concern.

Steps

  1. Open VS Code Settings

    • In VS Code, go to the menu bar and select
      File → Preferences → Settings (or press Ctrl+, on Windows/Linux, Cmd+, on macOS).

  2. Search for GitHub Copilot

    • In the search bar at the top of the settings panel, type:
      GitHub Copilot

  3. Locate the BYOK Ollama Endpoint Setting

    • Scroll down to GitHub › Copilot › Chat › Byok: Ollama Endpoint.

    • This field allows you to provide your own server endpoint.

  4. Enter Your Ollama Server Address

    • Typically, the local Ollama server runs at:

      http://localhost:11434

    • Paste this URL (or the address of your own Ollama instance) into the setting.

  5. Restart VS Code (recommended)

    • After saving the setting, restart VS Code to ensure GitHub Copilot picks up the configuration.

✅ Now GitHub Copilot should attempt to route chat requests through the specified Ollama server.
⚠️ Reminder: This configuration does not make Copilot fully “local only.” Prompts and metadata may still be shared with Microsoft’s services.

Fixing the “UUIDv4 is expected” Error in Zabbix

Fixing the “UUIDv4 is expected” Error in Zabbix

by | Sep 12, 2025 | Uncategorized

Fixing the “UUIDv4 is expected” Error in Zabbix 7 Template Imports

When working with Zabbix 7.0 and custom YAML templates, many users encounter the infamous error:

Invalid parameter "/1/uuid": UUIDv4 is expected.

The Problem

At first glance, this message is confusing. Many assume it refers to a missing field or a wrong format.
In reality, Zabbix 7 introduced strict validation for template UUIDs.
Every object (templates, items, discovery rules, triggers) now requires a valid UUIDv4 identifier.

The tricky part: Zabbix does not accept the usual UUID format with hyphens (like
36a4c36e-15a8-43dc-9287-99780609f339).
Instead, it requires a 32-character hex string without hyphens, such as:

36a4c36e15a843dc928799780609f339

Why This Happens

If you generate UUIDs manually or with a script, they may not conform to the
UUIDv4 specification (RFC 4122 / RFC 9652).
Specifically, the version and variant bits must be set correctly.

Even if your string has the right length, Zabbix checks the internal bit pattern.
An invalid one results in the error.

The Solution

  • Generate UUIDv4 values with correct version/variant bits.
  • Strip hyphens so that the result is a continuous 32-character hex string.
  • Ensure every element in your YAML has a unique UUID (template, items, triggers, etc.).

How to Generate Correct UUIDs

On Linux or macOS:

uuidgen | tr -d '-'

Online generators like uuidgenerator.net/version4
also work, as long as you remove the hyphens.

Takeaway

If your import fails with UUIDv4 is expected, the issue is not your template’s logic,
but simply the format of the UUIDs.
Replacing them with valid, hyphen-free UUIDv4 strings solves the problem instantly.

Once all UUIDs are valid, your custom template will import successfully into Zabbix 7.

The following script processes any Zabbix template (.yaml), identifies all uuid: fields, and replaces them with valid, RFC-compliant UUIDv4 values (32 hexadecimal characters).

import uuid
import yaml
import sys

def new_uuid():
“””Generate a valid UUIDv4 in 32-hex format (no hyphens).”””
return uuid.uuid4().hex

def replace_uuids(obj):
“””Recursively replace uuid fields in a Zabbix template.”””
if isinstance(obj, dict):
return {k: (new_uuid() if k == “uuid” else replace_uuids(v)) for k, v in obj.items()}
elif isinstance(obj, list):
return [replace_uuids(i) for i in obj]
else:
return obj

def fix_template(in_file, out_file):
with open(in_file, “r”, encoding=”utf-8″) as f:
data = yaml.safe_load(f)

fixed = replace_uuids(data)

with open(out_file, “w”, encoding=”utf-8″) as f:
yaml.dump(fixed, f, sort_keys=False, allow_unicode=True)

print(f”✅ Fixed UUIDs written to {out_file}”)

if __name__ == “__main__”:
if len(sys.argv) != 3:
print(“Usage: python fix_uuid.py input.yaml output.yaml”)
else:
fix_template(sys.argv[1], sys.argv[2])

📌 Using:

python fix_uuid.py old_template.yaml fixed_template.yaml

Fixing RSAT Group Policy Management Tools Installation Error (0x800f0954)

Fixing RSAT Group Policy Management Tools Installation Error (0x800f0954)

by | Aug 29, 2025 | Uncategorized

When trying to install RSAT Group Policy Management Tools with PowerShell:

Add-WindowsCapability -Online -Name "Rsat.GroupPolicy.Management.Tools~~~~0.0.1.0"

you may encounter the following error:

Add-WindowsCapability : Error 0x800f0954
CategoryInfo: NotSpecified: (:) [Add-WindowsCapability], COMException
FullyQualifiedErrorId : Microsoft.Dism.Commands.AddWindowsCapabilityCommand

Solution 1: Fix Search Highlight Policy

Open the Local Group Policy Editor (gpedit.msc) and adjust the following setting:

  • Navigate to Computer Configuration → Administrative Templates → Windows Components → Search.
  • Set Allow search highlights to Enabled.

After this, try running the command again:

Add-WindowsCapability -Online -Name "Rsat.GroupPolicy.Management.Tools~~~~0.0.1.0"

Solution 2: Ensure Windows Update is Used Instead of WSUS

Sometimes the error occurs because the PC is configured to use WSUS instead of Windows Update. To allow downloading optional features directly from Windows Update:

  • Open gpedit.msc.
  • Go to: Computer Configuration → Administrative Templates → System.
  • Find and open Specify settings for optional component installation and component repair.
  • Set the policy to Enabled.
  • Check the option Download repair content and optional features directly from Windows Update instead of WSUS.
  • Click Apply and then OK.

Finally, update Group Policies with:

gpupdate /force

Note: If you are in a corporate environment, ensure that bypassing WSUS does not violate your IT policies.

Conclusion

By enabling search highlights and ensuring that Windows Update (not WSUS) is used for optional features, you can successfully resolve the 0x800f0954 error when installing RSAT Group Policy Management Tools.