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io.github.mpzarde/fabric-mcp

NPM · @ANGRYDAD67/FABRIC-MCP-SERVER · SCANNED AUG 3

MCP server for Fabric AI patterns

+23 this week 69 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security86
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability77
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 802 tokens (~42/item across 19 items; 19 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
  • Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @angrydad67/fabric-mcp-server

# add to Claude Code
claude mcp add mpzarde-fabric-mcp -- npx -y @angrydad67/fabric-mcp-server
# add to Codex CLI
codex mcp add mpzarde-fabric-mcp -- npx -y @angrydad67/fabric-mcp-server
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mpzarde-fabric-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@angrydad67/fabric-mcp-server"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add mpzarde-fabric-mcp --command npx --arg -y --arg @angrydad67/fabric-mcp-server
# ~/.hermes/config.yaml
mcp_servers:
  mpzarde-fabric-mcp:
    command: "npx"
    args: ["-y", "@angrydad67/fabric-mcp-server"]
// mcp.json
{
  "mcpServers": {
    "mpzarde-fabric-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@angrydad67/fabric-mcp-server"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +49
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Schema quality: unverified → excellent functional
    • Tool coverage: unverified → 100 functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • Stability: unverified → 0.23 functional
    • Licence: MIT functional
  • 2 Aug 26 −16
    • Tool coverage: 100 → unverified functional
  • 1 Aug 26 +10
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
    • Capabilities: pass → unverified functional
  • 31 Jul 26 +2
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −22
    • Tool coverage: 100 → unverified functional
    • First check of Schema quality: unverified functional
  • 27 Jul 26 46

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/@angrydad67/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 94 packages

94 packages in the resolved dependency tree · 94 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 19 exposed · ~802 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
analyze_file ~94

Read 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.

NameTypeReqDescription
file_pathstringyesThe absolute path to the file to analyze
patternstringyesThe Fabric pattern to apply (e.g., 'summarize', 'explain_code', 'analyze_logs', etc.)

No output schema declared.

No examples provided.

analyze_url ~92

Fetch 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.

NameTypeReqDescription
patternstringyesThe Fabric pattern to apply (e.g., 'extract_wisdom', 'summarize', 'analyze_paper', etc.)
urlstringyesThe URL to fetch and analyze

No output schema declared.

No examples provided.

analyze_youtube_video ~104

Fetch 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.

NameTypeReqDescription
patternstringyesThe Fabric pattern to apply (e.g., 'extract_wisdom', 'summarize', 'analyze_claims', 'create_quiz', etc.)
urlstringyesThe YouTube video URL

No output schema declared.

No examples provided.

fabric_analyze_claims ~32

Analyze and fact-check claims made in content

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_analyze_incident ~30

Analyze security incidents or system failures

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_analyze_logs ~30

Analyze log files for issues and patterns

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_analyze_paper ~30

Analyze academic papers or technical documents

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_create_coding_project ~32

Generate project structure and planning from an idea

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_create_quiz ~30

Generate quiz questions from content for learning

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_explain_code ~28

Explain code in simple terms

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_extract_wisdom ~41

Extract key insights, quotes, and wisdom from any content (articles, videos, podcasts)

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_improve_writing ~29

Improve writing quality and clarity

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_summarize ~29

Create a concise summary of content

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_summarize_git_diff ~34

Summarize git diff output for code reviews

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

fabric_to_flashcards ~30

Convert content into flashcards for studying

NameTypeReqDescription
inputstringyesThe input text to process

No output schema declared.

No examples provided.

get_youtube_transcript ~32

Fetch transcript from a YouTube video URL

NameTypeReqDescription
urlstringyesThe YouTube video URL

No output schema declared.

No examples provided.

health_check ~31

Check if Fabric, yt-dlp, and other dependencies are installed and configured correctly. Provides installation instructions if needed.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_fabric_patterns ~16

List all available Fabric patterns

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

run_fabric_pattern ~58

Run any Fabric pattern with custom input. Use this for patterns not covered by specific tools.

NameTypeReqDescription
inputstringyesThe input text to process with the pattern
patternstringyesThe name of the Fabric pattern to run

No output schema declared.

No examples provided.