# IBM Content Services MCP Server

> IBM Content Services MCP Server — ahamedfo-ibm-content-services-mcp-server. Use this tool when you need to integrate AI models with enterprise content management systems, enabling access to document management, property extraction, and AI-powered insights. It solves problems related to content retrieval, analysis, and compliance by providing standardized interfaces to IBM FileNet Content Manager capabilities. Ideal for use cases requiring automated document processing, legal hold management, and content-based AI applications.

Canonical page: https://skillsregistry.net/skills/ahamedfo-ibm-content-services-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ahamedfo-ibm-content-services-mcp-server

## Description

Enables AI models to access IBM FileNet Content Manager capabilities including document management, property extraction, legal holds, and AI-powered document insight through standardized MCP interfaces.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c3ch5j0c0v)
- **Repository:** <https://github.com/ahamedfo/ibm-content-services-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ahamedfo-ibm-content-services-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ahamedfo-ibm-content-services-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ahamedfo-ibm-content-services-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt