Enables Claude to use Fabric's AI patterns for content analysis, summarization, learning, coding, and security analysis via MCP
Detailed security scan evidence is not public for this MCP yet. Public identity, registry metadata, and independently observed protocol inventory remain available.
Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.
Version 1.0.1 declares 1 executable entrypoint.
npm install --save-exact @angrydad67/fabric-mcp-server@1.0.1npx -y -p @angrydad67/fabric-mcp-server@1.0.1 @angrydad67/fabric-mcp-server{
"mcpServers": {
"@angrydad67/fabric-mcp-server": {
"command": "npx",
"args": [
"-y",
"-p",
"@angrydad67/fabric-mcp-server@1.0.1",
"@angrydad67/fabric-mcp-server"
]
}
}
}| Canonical slug | fabric-mcp-server-6f19a2c9 | Deployment | Local Only |
|---|---|---|---|
| Canonical package | npm:@angrydad67/fabric-mcp-server | Repository | mpzarde/fabric-mcp |
| First published | — | Latest release | — |
| Last security verification | — | Classification confidence | 90% |
| Publication | Draft | Official distribution | Not verified |
| Channel | Identifier | Current version | Versions | Source |
|---|---|---|---|---|
| npm | @angrydad67/fabric-mcp-server | 1.0.1 | 1 | Repository |
| Package | Version | Published / observed | Inventory | Security scan |
|---|---|---|---|---|
| npm@angrydad67/fabric-mcp-server | 1.0.1Current | Sep 5, 2026 | 19 toolsSucceeded · 0 resources · 0 prompts | Evidence restricted |
Independently scan the exact version your agents use, receive alerts when its risk changes, and investigate every finding with retained version evidence.
No public current-version evidence is available yet.
| Tool | Category | Annotations | Risk |
|---|---|---|---|
analyze_fileRead a file and analyze it with a Fabric pattern in one step. This ensures the complete file content is processed without truncation. Useful for analyzing documents, code files, logs, etc.Input schema{
"type": "object",
"properties": {
"file_path": {
"type": "string",
"description": "The absolute path to the file to analyze"
},
"pattern": {
"type": "string",
"description": "The Fabric pattern to apply (e.g., 'summarize', 'explain_code', 'analyze_logs', etc.)"
}
},
"required": [
"file_path",
"pattern"
]
} | — | — | |
analyze_urlFetch content from a URL and analyze it with a Fabric pattern in one step. Works with articles, documentation, blog posts, etc. This ensures complete content is processed without truncation.Input schema{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to fetch and analyze"
},
"pattern": {
"type": "string",
"description": "The Fabric pattern to apply (e.g., 'extract_wisdom', 'summarize', 'analyze_paper', etc.)"
}
},
"required": [
"url",
"pattern"
]
} | — | — | |
analyze_youtube_videoFetch a YouTube transcript and analyze it with a Fabric pattern in one step. This ensures the complete transcript is processed without truncation. Use this instead of calling get_youtube_transcript and then a pattern separately.Input schema{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The YouTube video URL"
},
"pattern": {
"type": "string",
"description": "The Fabric pattern to apply (e.g., 'extract_wisdom', 'summarize', 'analyze_claims', 'create_quiz', etc.)"
}
},
"required": [
"url",
"pattern"
]
} | — | — | |
fabric_analyze_claimsAnalyze and fact-check claims made in contentInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_analyze_incidentAnalyze security incidents or system failuresInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_analyze_logsAnalyze log files for issues and patternsInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_analyze_paperAnalyze academic papers or technical documentsInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_create_coding_projectGenerate project structure and planning from an ideaInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_create_quizGenerate quiz questions from content for learningInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_explain_codeExplain code in simple termsInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_extract_wisdomExtract key insights, quotes, and wisdom from any content (articles, videos, podcasts)Input schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_improve_writingImprove writing quality and clarityInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_summarizeCreate a concise summary of contentInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_summarize_git_diffSummarize git diff output for code reviewsInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
fabric_to_flashcardsConvert content into flashcards for studyingInput schema{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The input text to process"
}
},
"required": [
"input"
]
} | — | — | |
get_youtube_transcriptFetch transcript from a YouTube video URLInput schema{
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The YouTube video URL"
}
},
"required": [
"url"
]
} | — | — | |
health_checkCheck if Fabric, yt-dlp, and other dependencies are installed and configured correctly. Provides installation instructions if needed.Input schema{
"type": "object",
"properties": {}
} | — | — | |
list_fabric_patternsList all available Fabric patternsInput schema{
"type": "object",
"properties": {}
} | — | — | |
run_fabric_patternRun any Fabric pattern with custom input. Use this for patterns not covered by specific tools.Input schema{
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "The name of the Fabric pattern to run"
},
"input": {
"type": "string",
"description": "The input text to process with the pattern"
}
},
"required": [
"pattern",
"input"
]
} | — | — |
| Endpoint | Transport | Authentication | Health | Observed |
|---|---|---|---|---|
| No verified remote endpoint is linked. | ||||
Install the selected package version with: npm install --save-exact @angrydad67/fabric-mcp-server@1.0.1
Fabric MCP Server exposed 19 tools during independent protocol observation, including analyze_file, analyze_url, analyze_youtube_video, fabric_analyze_claims, fabric_analyze_incident, fabric_analyze_logs, fabric_analyze_paper, fabric_create_coding_project, and others.
The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.
These internal links are derived from strong identity fields such as the implementation name, package, repository, vendor, and listing name—not generic description prose.
Association is based on retained identity fields; it does not by itself prove first-party publication.
Curated product and capability guides containing this catalog record.