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Asem-D
by Asem-D

arcgis-portal-mcp

v1.10.0. 66 tools for ArcGIS Enterprise Portal and ArcGIS Online.

A Model Context Protocol (MCP) server that gives AI assistants direct access to your ArcGIS content. Search, inspect, edit, publish, and admin through natural language.

Works with Claude Desktop, Cursor, VS Code Copilot, and any MCP-compatible client.

Disclaimer: This is an independent open-source project. Not affiliated with, endorsed by, or sponsored by Esri. "ArcGIS" is a registered trademark of Esri.

What's new in v1.10.0

  • Group lifecycle: update, delete, and manage group members -- complete the CRUD loop for portal groups

  • Folder deletion: remove content folders (with warning about contents)

  • User search: find users by name, email, or username without dumping the entire user list

What's new in v1.9.0

  • Read-only mode: block all write/mutating tools via MCP_READ_ONLY=true or --read-only CLI flag

  • Tool allowlisting: restrict which tools the AI client can see and invoke via MCP_ALLOWED_TOOLS=name1,name2

  • Audit logging: record every tool call to a JSONL file via MCP_AUDIT_LOG=path, with automatic sanitization of passwords and tokens

What's new in v1.8.0

  • Collaborations: list, inspect, and trigger sync for distributed GIS collaborations

  • Roles & privileges: list organization roles with their full privilege sets

  • Scheduled tasks: list and filter organization-wide or per-user scheduled tasks

What's new in v1.7.0

  • Webhooks: list, create, update, delete, and test organization webhooks for portal automation

  • Logs: query and clean portal logs with level/source/time filters

  • Organization settings: read and update portal configuration

  • Folders: create and list content folders for better item organization

What's new in v1.6.0

  • Configurable TLS verification: certificate verification is now ON by default; set MCP_TLS_VERIFY=false for self-signed Enterprise certs

  • Scoped allowlists: restrict which portals, owners, groups, and service URLs the server can access via MCP_ALLOWED_* env vars

Security improvements inspired by community feedback from muend on Esri Community.

What's new in v1.5.0

  • Item impact analysis: find out what breaks if you delete an item.

  • Relationship explorer: map services, web maps, layers, and apps.

  • Usage analytics: API calls, active users, storage trends (admin).

  • Group membership audit: who is in which groups, inactive users.

  • Service dependency scanner: broken links, missing data sources.

  • Batch operations: update, share, delete multiple items at once.

Related MCP server: arcpro-mcp

Features

  • Connect to any ArcGIS Enterprise Portal or ArcGIS Online.

  • Search for items: feature services, web maps, layers, dashboards.

  • Inspect item metadata, tags, and descriptions.

  • Describe layers: full schema with fields, domains, subtypes, relationships, and renderer info.

  • Query features with attribute filters, spatial filters, field selection, and pagination.

  • Add, update, and delete features in hosted feature layers.

  • Manage content: update properties, share/unshare, delete items, read web map definitions.

  • Manage users: list users, get detailed profiles.

  • Manage groups: list, create, and invite users.

  • Publish services: upload files and publish as hosted feature services.

  • Inspect GP tools: list tasks and view parameter schemas before execution.

  • Run geoprocessing: execute synchronous and asynchronous GP tasks.

  • Export map images: render layers as JPG/PNG/GIF/PDF/SVG.

  • Portal admin: system info, license management, usage statistics.

  • Batch operations: bulk delete, share, and update multiple items.

  • Health check: portal system status (requires admin privileges).

Design Principles

  • No arcgis Python package dependency: uses raw REST API calls via requests, so you don't need to fight with Esri's Python SDK.

  • Works with Enterprise Portal AND ArcGIS Online: same tools, same API.

  • Multiple auth methods: token, username/password, client_credentials, and OAuth2.

  • Auto-connect: reads your .env file on startup, no manual auth needed per session.

  • 2FA-friendly: works with Enterprise portals that require two-factor authentication.

  • Self-signed cert friendly: handles Enterprise portals with self-signed certificates.

  • Hardened: SQL injection validation on WHERE clauses, XSS protection in OAuth callbacks, automatic retry with exponential backoff, read-only mode, tool allowlisting, and audit logging.

  • Scoped allowlists: optionally restrict which portals, owners, groups, and service URLs the server can access, reducing agent blast radius in production.

Installation

pip install git+https://github.com/Asem-D/arcgis-portal-mcp.git

Or clone and install from source:

git clone https://github.com/Asem-D/arcgis-portal-mcp.git
cd arcgis-portal-mcp
pip install -e .

Windows users: pywin32 is installed automatically as a platform-specific dependency.

Configuration

.env File (recommended)

Create a .env file for automatic connection on startup. A template is provided:

cp .env.example .env
# Edit .env with your portal credentials
portal_url=https://gis.example.com/portal
# Option 1: Username/password (recommended for most users)
username=your-portal-username
password=your-portal-password
# Option 2: OAuth2 app credentials (app-level, limited permissions)
# oauth_client_id=your-oauth-app-client-id
# oauth_client_secret=your-oauth-app-client-secret

The server searches for .env in this order:

  1. Package directory (next to the server code) — works for source installs

  2. Current working directory — works when launched from the project root

  3. ~/.arcgis-portal-mcp/.env — works for pip install users

Quoted values are supported: password="my secret". Existing OS environment variables take precedence over .env values.

The server reads .env on startup and connects automatically. If username + password are provided, it uses generateToken (user-level, full permissions). Otherwise, it falls back to client_credentials (app-level, limited). No manual connect_portal call needed.

Note: The .env file is gitignored. Never commit credentials. .env.example is safe to commit.

MCP Client Configuration

For MCP clients (Claude Desktop, Cursor, etc.), the simplest setup uses a .env file:

{
  "mcpServers": {
    "arcgis-portal": {
      "command": "python",
      "args": ["-m", "arcgis_portal_mcp.server"],
      "cwd": "/path/to/arcgis-portal-mcp"
    }
  }
}

The server auto-connects from .env (searched in package dir, CWD, or ~/.arcgis-portal-mcp/). No env vars needed in the MCP config.

Alternatively, pass credentials via MCP client env vars:

{
  "mcpServers": {
    "arcgis-portal": {
      "command": "python",
      "args": ["-m", "arcgis_portal_mcp.server"],
      "env": {
        "portal_url": "https://gis.example.com/portal",
        "username": "your-portal-username",
        "password": "your-portal-password"
      }
    }
  }
}

Connecting MCP Clients

Step-by-step setup for popular AI coding assistants.

Claude Desktop

  1. Install arcgis-portal-mcp (see Installation)

  2. Create ~/.arcgis-portal-mcp/.env with your credentials

  3. Open Claude Desktop Settings (Claude menu > Settings > Developer > Edit Config)

  4. Add to claude_desktop_config.json:

{
  "mcpServers": {
    "arcgis-portal": {
      "command": "python",
      "args": ["-m", "arcgis_portal_mcp.server"],
      "cwd": "/path/to/arcgis-portal-mcp"
    }
  }
}
  1. Restart Claude Desktop. The server connects automatically from .env.

macOS/Linux: Replace python with python3 if needed. Use which python3 to find the full path.

Cursor

  1. Install arcgis-portal-mcp (see Installation)

  2. Create ~/.arcgis-portal-mcp/.env with your credentials

  3. Open Cursor Settings (gear icon > MCP)

  4. Click "Add new global server" and paste:

{
  "name": "arcgis-portal",
  "command": "python",
  "args": ["-m", "arcgis_portal_mcp.server"],
  "cwd": "/path/to/arcgis-portal-mcp"
}
  1. Toggle the server on. Cursor connects automatically.

VS Code (GitHub Copilot)

  1. Install arcgis-portal-mcp (see Installation)

  2. Create ~/.arcgis-portal-mcp/.env with your credentials

  3. Add to .vscode/mcp.json in your workspace (or user settings):

{
  "servers": {
    "arcgis-portal": {
      "command": "python",
      "args": ["-m", "arcgis_portal_mcp.server"],
      "cwd": "/path/to/arcgis-portal-mcp"
    }
  }
}
  1. Reload VS Code. The MCP server appears in the Copilot chat panel.

Windsurf

  1. Install arcgis-portal-mcp (see Installation)

  2. Create ~/.arcgis-portal-mcp/.env with your credentials

  3. Open Windsurf Settings > Cascade > MCP Servers

  4. Add a new server:

{
  "name": "arcgis-portal",
  "command": "python",
  "args": ["-m", "arcgis_portal_mcp.server"],
  "cwd": "/path/to/arcgis-portal-mcp"
}
  1. Restart Windsurf.

nanobot (this agent)

Already configured. The MCP server is registered in config.json under tools.mcpServers.arcgis-portal.

connect_portal Tool Parameters

The connect_portal tool accepts these auth_method values:

Value

Behavior

auto

Read from .env (default). Tries username/password first, then client_credentials

username_password

Portal username + password -> generateToken (user-level)

token

Use explicit portal token

client_credentials

Use explicit client_id/secret

oauth2

Browser-based OAuth2 (blocks ~2 min)

Usage

User: Search for all feature services in my portal
Agent: [calls connect_portal, then search_content with item_type="Feature Service"]

Inspect a Layer's Full Schema

User: Show me the field schema of the infrastructure layer
Agent: [calls list_layers to find the layer, then describe_layer to get fields, domains, relationships]

Query a Layer

User: Show me the first 10 parcels from the cadastral layer
Agent: [calls list_layers to find the parcel layer, then query_features with limit=10]

Inspect a GP Tool Before Running

User: What parameters does the buffer analysis tool expect?
Agent: [calls get_gp_task_info with the GP service URL to inspect parameter schemas]

Add Features

User: Add these 3 buildings to the infrastructure layer
Agent: [calls add_features with the feature service URL and JSON features]

Share a Web Map

User: Share item abc123 with the "Planning Team" group and the whole org
Agent: [calls share_item with org=true and groups=<planning-team-id>]

Read a Web Map

User: What basemap and layers are in this web map?
Agent: [calls get_item_data to read the web map JSON, summarizes basemap and operational layers]

Publish a Shapefile

User: Publish this shapefile as a hosted feature service
Agent: [calls upload_item to upload the .zip, then publish_from_item to create the service]

Run a Geoprocessing Task

User: Run the buffer analysis on the parcels layer with a 100m distance
Agent: [calls get_gp_task_info to inspect parameters, then execute_gp_task with the right inputs]

Bulk Operations

User: Delete all my draft items
Agent: [calls search_content to find items, then batch_delete_items to remove them]

Portal Administration

User: How many licenses do we have left?
Agent: [calls list_licenses to show license allocation and usage]

Available Tools (60)

Discovery and Inspection

Tool

Description

connect_portal

Authenticate with the portal (auto, token, username/password, client_credentials, or OAuth2)

search_content

Search items by keyword, type, and owner

get_item_details

Get detailed metadata for a specific item

list_layers

List layers in a feature/map service with geometry types and counts

describe_layer

Get full layer schema: fields, types, domains, subtypes, relationships, extent, renderer

query_features

Query features with attribute/spatial filters and pagination

list_users

List portal users with roles and status

list_groups

List portal groups with access levels

portal_health

Check portal health and system status

server_status

Check MCP server connection state

Feature CRUD, User/Group and Content Management

Tool

Description

add_features

Add new features to a hosted feature layer

update_features

Update existing features (by OBJECTID)

delete_features

Delete features by OBJECTIDs or WHERE clause

get_user_details

Get detailed user profile (role, privileges, storage, last login)

create_group

Create a new group with access control

invite_to_group

Invite users to a group with a role assignment

update_item

Update item properties (title, description, tags, access)

delete_item

Delete an item from the portal

share_item

Share/unshare an item with everyone, org, or specific groups

get_item_data

Read item data (web map JSON, app config, feature collections)

create_folder

Create a content folder for organizing items

list_folders

List content folders for a user

Publishing, Geoprocessing, Admin and Batch

Tool

Description

upload_item

Upload a local file (CSV, Shapefile, etc.) to portal content

publish_from_item

Publish an uploaded item as a hosted feature service

create_service

Create an empty hosted feature service with schema

get_gp_task_info

Inspect GP tool schemas: list tasks or view parameter definitions before execution

execute_gp_task

Run a synchronous geoprocessing task

submit_gp_job

Submit an async GP job and get a job ID for polling

get_gp_job_status

Check status of a running async geoprocessing job

export_map_image

Export a MapServer/FeatureServer layer as JPG/PNG/GIF/PDF/SVG

portal_system_info

Get portal version, platform, and system info (admin)

list_licenses

Get license information and assignments (admin)

portal_usage

Get portal usage statistics: users, API calls, storage (admin)

get_org_settings

Get organization settings (admin)

update_org_settings

Update organization settings (admin)

batch_delete_items

Delete multiple items at once

batch_share_items

Share/unshare multiple items with the same audiences

batch_update_items

Update properties of multiple items at once

explore_item_relationships

Explore item relationships: services, web maps, layers, apps

audit_group_members

Audit group membership: who's in which groups, inactive users

scan_service_dependencies

Scan feature service dependencies: broken links, missing sources

analyze_item_impact

Analyze item impact: what breaks if an item is deleted

get_usage_analytics

Get portal usage analytics: API calls, active users, storage trends

Webhooks and Logs (v1.7.0)

Tool

Description

list_webhooks

List all organization webhooks

create_webhook

Create a new organization webhook with event triggers

update_webhook

Update webhook properties (name, URL, triggers, active state)

delete_webhook

Delete a webhook by ID

test_webhook

Send a test payload to verify webhook connectivity

query_logs

Query portal logs with level, source, and time filters

clean_logs

Delete portal logs older than a specified time

Collaborations, Roles and Scheduled Tasks (v1.8.0)

Tool

Description

list_collaborations

List all collaborations the portal participates in

get_collaboration

Get details of a specific collaboration

sync_collaboration

Trigger sync for a collaboration workspace

list_roles

List all organization roles with their privileges

get_role_privileges

Get privileges for a specific role

list_scheduled_tasks

List all scheduled tasks in the organization (admin)

get_user_scheduled_tasks

List scheduled tasks for a specific user

Authentication Methods

Method

Pros

Cons

Auto (default)

Zero-config, reads .env on startup

Falls back to app-level if no username/password

Username/Password

User-level permissions via generateToken

Tokens expire in 2 hours; blocked by 2FA

Token

Quick, no dependencies

Tokens expire, must be obtained separately

Client Credentials

No browser needed, no 2FA

App-level only (no user identity)

OAuth2

Full user permissions, 14-day tokens

Opens browser, blocks for ~2 min

Enterprise portals with 2FA: Use auto (.env with client_credentials). Token auth won't work because 2FA blocks token generation. The client_credentials flow uses app-level OAuth2, no browser, no 2FA, no user interaction.

ArcGIS Online or portals without 2FA: Username/password auth via generateToken is the fastest for MCP. Put username and password in your .env file for auto-connect on startup.

Full user permissions: Use OAuth2 once to get a long-lived token, then pass it directly.

Security

TLS Certificate Verification

By default, TLS certificate verification is enabled. For Enterprise portals with self-signed certificates, disable it in your .env:

MCP_TLS_VERIFY=false

When verification is disabled, the server logs a warning. Re-enable it for production deployments with valid certificates.

Scoped Allowlists

For production use, constrain the server to specific portals, owners, groups, and service endpoints. All allowlists are optional; when unset, the server operates without restrictions (backward compatible).

# Only connect to these portals
MCP_ALLOWED_PORTAL_URLS=https://gis.example.com/portal

# Only access items owned by these users
MCP_ALLOWED_OWNERS=jsmith,mgarcia,admin

# Only share with these group IDs
MCP_ALLOWED_GROUPS=abc123,def456

# Only operate on services at these URL prefixes
MCP_ALLOWED_SERVICE_URLS=https://gis.example.com/portal/sharing/rest/services

Operations targeting resources outside the allowlist are rejected with a clear error message. For batch operations, items outside the owner allowlist are skipped with per-item reporting.

Read-Only Mode (v1.9.0)

Blocks all write/mutating tools server-side. Useful for evaluation, demos, and environments where the AI should only read data.

# Via environment variable
MCP_READ_ONLY=true
# Or via CLI flag (overrides env var)
python -m arcgis_portal_mcp.server --read-only

When active, any tool that creates, updates, or deletes portal content is rejected with a clear error message. Read-only tools (search, query, list, describe) remain fully functional.

Tool Allowlisting (v1.9.0)

Restricts which tools the AI client can see and invoke. When set, only the named tools are exposed via the MCP protocol.

# Only expose these 5 tools to the AI
MCP_ALLOWED_TOOLS=search_content,query_features,list_layers,describe_layer,portal_health

When unset (the default), all 66 tools are available. Tools not on the list are invisible to the AI client and rejected if called directly.

Audit Logging (v1.9.0)

Records every tool call to a JSONL file for security review and compliance.

# Log all tool calls to this file
MCP_AUDIT_LOG=/path/to/audit.jsonl

Each entry contains:

{"ts": 1723500000.0, "tool": "search_content", "args": {"query": "parcels"}, "status": "ok", "duration_ms": 142.3}

Sensitive arguments (password, token, client_secret, secret) are automatically replaced with *** in the log.

What's Next

Here's what we're working on for upcoming releases:

v2.0.0 — Feature Service Sync

  • createReplica / sync: offline workflows and bidirectional data sync

  • Item relationship CRUD: add/remove item dependencies

  • AI Services management: enable/disable AI assistants (Enterprise 12.0+)

v2.1.0 — Server Infrastructure

  • Server federation: list, validate, federate, and unfederate servers

  • Machine monitoring: list machines and deployment status

  • SSL certificate management: list, import, generate

If any of these would solve a problem you're facing, open an issue and let us know. We prioritize based on real-world needs.

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run linting
ruff check arcgis_portal_mcp/

License

MIT. See LICENSE.

Author

Asem Daaboul (asem.daaboul@gmail.com)

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