io.github.mpzarde/fabric-mcp
NPM · @ANGRYDAD67/FABRIC-MCP-SERVER · SCANNED SEP 20
MCP server for Fabric AI patterns
Available components
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 214 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability72
- AI-judged instruction clarity (good).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 Management97
- Stability observed for 29 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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 19 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 19 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.mpzarde/fabric-mcp server?
io.github.mpzarde/fabric-mcp runs locally as an npm package, launched with npx -y @angrydad67/fabric-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @angrydad67/fabric-mcp-server
claude mcp add mpzarde-fabric-mcp -- npx -y @angrydad67/fabric-mcp-server
{
"mcpServers": {
"mpzarde-fabric-mcp": {
"command": "npx",
"args": [
"-y",
"@angrydad67/fabric-mcp-server"
]
}
}
} {
"servers": {
"mpzarde-fabric-mcp": {
"command": "npx",
"args": [
"-y",
"@angrydad67/fabric-mcp-server"
]
}
}
} codex mcp add mpzarde-fabric-mcp -- npx -y @angrydad67/fabric-mcp-server
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mpzarde-fabric-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@angrydad67/fabric-mcp-server"
],
"enabled": true
}
}
} openclaw mcp add mpzarde-fabric-mcp --command npx --arg -y --arg @angrydad67/fabric-mcp-server
mcp_servers:
mpzarde-fabric-mcp:
command: "npx"
args: ["-y", "@angrydad67/fabric-mcp-server"] {
"McpServers": {
"mpzarde-fabric-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@angrydad67/fabric-mcp-server"
]
}
}
} assistant mcp add mpzarde-fabric-mcp -t stdio -c npx -a -y @angrydad67/fabric-mcp-server
{
"mcpServers": {
"mpzarde-fabric-mcp": {
"command": "npx",
"args": [
"-y",
"@angrydad67/fabric-mcp-server"
]
}
}
} 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.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 −2
- Stability: pass → 0.83 functional
- 15 Sept 26 0
- Stability: 0.97 → pass security
- Security disclosure: unverified → fail ▼ functional
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 0
- Security disclosure: fail → unverified ▼ functional
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 −2
- Stability: pass → 0.80 functional
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 20 Sept 2026 · Analysed npm/@angrydad67/fabric-mcp-server@1.0.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 95 packages
| Packages resolved | 95 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
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.
| Name | Type | Req | Description |
|---|---|---|---|
| file_path | string | yes | The absolute path to the file to analyze |
| pattern | string | yes | The 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.
| Name | Type | Req | Description |
|---|---|---|---|
| pattern | string | yes | The Fabric pattern to apply (e.g., 'extract_wisdom', 'summarize', 'analyze_paper', etc.) |
| url | string | yes | The 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.
| Name | Type | Req | Description |
|---|---|---|---|
| pattern | string | yes | The Fabric pattern to apply (e.g., 'extract_wisdom', 'summarize', 'analyze_claims', 'create_quiz', etc.) |
| url | string | yes | The YouTube video URL |
No output schema declared.
No examples provided.
fabric_analyze_claims ~32
Analyze and fact-check claims made in content
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_analyze_incident ~30
Analyze security incidents or system failures
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_analyze_logs ~30
Analyze log files for issues and patterns
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_analyze_paper ~30
Analyze academic papers or technical documents
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_create_coding_project ~32
Generate project structure and planning from an idea
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_create_quiz ~30
Generate quiz questions from content for learning
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_explain_code ~28
Explain code in simple terms
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The 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)
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_improve_writing ~29
Improve writing quality and clarity
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_summarize ~29
Create a concise summary of content
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_summarize_git_diff ~34
Summarize git diff output for code reviews
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
fabric_to_flashcards ~30
Convert content into flashcards for studying
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process |
No output schema declared.
No examples provided.
get_youtube_transcript ~32
Fetch transcript from a YouTube video URL
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | The 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.
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | The input text to process with the pattern |
| pattern | string | yes | The name of the Fabric pattern to run |
No output schema declared.
No examples provided.
What is the io.github.mpzarde/fabric-mcp server?
io.github.mpzarde/fabric-mcp is listed in the public MCP registry as io.github.mpzarde/fabric-mcp. MCP server for Fabric AI patterns. This page covers its npm package (@angrydad67/fabric-mcp-server).
Is the io.github.mpzarde/fabric-mcp server safe to use?
io.github.mpzarde/fabric-mcp scores 83 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.mpzarde/fabric-mcp server expose?
io.github.mpzarde/fabric-mcp exposes 19 tools: health_check, run_fabric_pattern, get_youtube_transcript, list_fabric_patterns, analyze_youtube_video, and 14 more. Their descriptions and schemas cost roughly 802 tokens of context every time the server is loaded.
Is the io.github.mpzarde/fabric-mcp server still maintained?
io.github.mpzarde/fabric-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.mpzarde/fabric-mcp server under?
io.github.mpzarde/fabric-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.