IBM Content Manager

v1.0.0Business Applicationsstable

Enables AI agents to interact with IBM FileNet Content Manager for document and folder management, including creation, updates, check-in/out, search, metadata management, and text extraction operations.

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What is IBM Content Manager?

IBM Content Manager is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai agents to interact with ibm filenet content manager for document and folder management, including creation, updates, check-in/out, search, metadata management, and text extraction operation...

Enables AI agents to interact with IBM FileNet Content Manager for document and folder management, including creation, updates, check-in/out, search, metadata management, and text extraction operations.

This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables AI agents to interact with IBM FileNet Content Manag

Use Cases

Manage documents in IBM FileNet through AI commands.
Perform document operations and metadata management.
ibm-ecm

Maintainer

LicenseApache-2.0
Languagepython
Versionv1.0.0
UpdatedApr 28, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx ibm-content-services

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use IBM Content Manager

IBM Content Services MCP Server connects AI agents to IBM FileNet Content Manager, enabling natural-language document and folder operations including creation, check-in/check-out, full-text search, metadata updates, legal hold management, and AI-powered document summarization and comparison across enterprise content repositories.

Prerequisites

  • Python 3.13 or later installed
  • uv package manager installed (pip install uv or brew install uv)
  • IBM FileNet Content Platform Engine 5.5.8 or later accessible
  • Valid credentials for the FileNet GraphQL API endpoint
  • Persistent Text Extract Add-on enabled on the CPE instance (for text extraction tools)
1

Install uv package manager

The IBM Content Services MCP Server is distributed via the GitHub repository and run with uv. Install uv if you do not already have it.

pip install uv
# or on macOS with Homebrew
brew install uv
2

Verify connectivity to the FileNet GraphQL endpoint

Confirm that your IBM FileNet Content Platform Engine GraphQL API URL is reachable and that you have a valid username, password, and object store name before configuring the server.

curl -u USERNAME:PASSWORD https://<your-cpe-host>/wsi/FNCEWS40MTOM/
3

Configure Claude Desktop to launch the Core MCP server

Add the IBM Content Services Core MCP server to your claude_desktop_config.json. Supply the required environment variables: SERVER_URL (GraphQL endpoint), USERNAME, PASSWORD, and OBJECT_STORE.

{
  "mcpServers": {
    "ibm-content-services": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ibm-ecm/ibm-content-services-mcp-server",
        "core-cs-mcp-server"
      ],
      "env": {
        "SERVER_URL": "https://<cpe-host>/openfncmis_wlp/configmgmtconsole",
        "USERNAME": "your_username",
        "PASSWORD": "your_password",
        "OBJECT_STORE": "MYOS",
        "SSL_ENABLED": "true",
        "LOG_LEVEL": "INFO"
      }
    }
  }
}
4

Optionally add the AI Document Insight or Legal Hold servers

Additional specialized MCP servers are available in the same package for AI-powered document Q&A, property extraction, and legal hold management. Each requires its own entry in the config with the same credentials.

{
  "mcpServers": {
    "ibm-cs-ai-insight": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ibm-ecm/ibm-content-services-mcp-server",
        "ai-document-insight-cs-mcp-server"
      ],
      "env": {
        "SERVER_URL": "https://<cpe-host>/openfncmis_wlp/configmgmtconsole",
        "USERNAME": "your_username",
        "PASSWORD": "your_password",
        "OBJECT_STORE": "MYOS"
      }
    },
    "ibm-cs-legal-hold": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ibm-ecm/ibm-content-services-mcp-server",
        "legal-hold-cs-mcp-server"
      ],
      "env": {
        "SERVER_URL": "https://<cpe-host>/openfncmis_wlp/configmgmtconsole",
        "USERNAME": "your_username",
        "PASSWORD": "your_password",
        "OBJECT_STORE": "MYOS"
      }
    }
  }
}
5

Restart Claude Desktop and verify tool availability

After saving the config, restart Claude Desktop. Ask Claude to list the available tools or perform a simple document search to confirm the connection is working.

IBM Content Manager Examples

Client configuration

Minimal claude_desktop_config.json entry for the IBM Content Services Core MCP server with required environment variables.

{
  "mcpServers": {
    "ibm-content-services": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/ibm-ecm/ibm-content-services-mcp-server",
        "core-cs-mcp-server"
      ],
      "env": {
        "SERVER_URL": "https://cpe.example.com/openfncmis_wlp/configmgmtconsole",
        "USERNAME": "fnadmin",
        "PASSWORD": "secret",
        "OBJECT_STORE": "CONTRACTS"
      }
    }
  }
}

Prompts to try

Example natural-language prompts to use once the IBM Content Services MCP server is connected in Claude Desktop.

- "Find all PDF documents in the /Contracts/2024 folder related to vendor agreements"
- "Create a new folder called 'Q3 Reports' under /Finance"
- "Check out the document with path /Legal/NDA_Template.docx so I can edit it"
- "What are the metadata properties of document ID {12345678-...}?"
- "Summarize the key points from the documents in the /Policies folder"
- "Place all documents tagged with 'Litigation' under a new legal hold called 'Case 2024-007'"

Troubleshooting IBM Content Manager

Authentication failure: 401 Unauthorized when starting the server

Verify that USERNAME and PASSWORD in the env block are correct and that the account has access to the specified OBJECT_STORE. If using OAuth, set TOKEN_URL, GRANT_TYPE, CLIENT_ID, and CLIENT_SECRET in addition to the basic credentials.

SSL certificate errors when connecting to the CPE endpoint

Set SSL_ENABLED=false and TOKEN_SSL_ENABLED=false in the env block for self-signed certificates in development environments. Do not disable SSL in production.

Text extraction tools return empty results

The get_document_text_extract tool requires the Persistent Text Extract Add-on to be enabled and configured on your FileNet CPE instance. Confirm with your FileNet administrator that the add-on is licensed and active.

Frequently Asked Questions about IBM Content Manager

What is IBM Content Manager?

IBM Content Manager is a Model Context Protocol (MCP) server that enables ai agents to interact with ibm filenet content manager for document and folder management, including creation, updates, check-in/out, search, metadata management, and text extraction operations. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install IBM Content Manager?

Follow the installation instructions on the IBM Content Manager GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with IBM Content Manager?

IBM Content Manager works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is IBM Content Manager free to use?

Yes, IBM Content Manager is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "ibm-content-services": { "command": "npx", "args": ["-y", "ibm-content-services"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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