gitlab-mcp
A Model Context Protocol (MCP) server for GitLab
Crawler Summary
MCP server for filesystem access YouTube Agent — MCP Server for YouTube Interaction An extensible $1 server‑agent that lets you interact with YouTube videos: fetch transcripts, ask questions, generate summaries, extract key points, create note files, and even manage folders and files — all within a scoped, secure directory. --- 🚀 Features - 🎥 **Transcript Fetching:** Retrieve closed captions/subtitles for a given YouTube video URL. - ❓ **Q&A:** An Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.
Freshness
Last checked 2/22/2026
Best For
Contract is available with explicit auth and schema references.
Not Ideal For
@modelcontextprotocol/server-filesystem is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.
Evidence Sources Checked
editorial-content, capability-contract, runtime-metrics, public facts pack
MCP server for filesystem access YouTube Agent — MCP Server for YouTube Interaction An extensible $1 server‑agent that lets you interact with YouTube videos: fetch transcripts, ask questions, generate summaries, extract key points, create note files, and even manage folders and files — all within a scoped, secure directory. --- 🚀 Features - 🎥 **Transcript Fetching:** Retrieve closed captions/subtitles for a given YouTube video URL. - ❓ **Q&A:** An
Public facts
6
Change events
1
Artifacts
0
Freshness
Feb 22, 2026
Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.
Trust score
Unknown
Compatibility
MCP
Freshness
Feb 22, 2026
Vendor
Modelcontextprotocol
Artifacts
0
Benchmarks
0
Last release
0.6.2
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.
Setup snapshot
git clone https://github.com/zubayr-ahmad/YoutubeAgent.gitSetup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Modelcontextprotocol
Protocol compatibility
MCP
Auth modes
mcp, api_key
Machine-readable schemas
OpenAPI or schema references published
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
text
<allowed-dir>/ ├─ notes/ ← Generated `.txt` note files └─ (optional) ← You may add subdirectories or store raw transcripts here
bash
git [email protected]:zubayr-ahmad/YoutubeAgent.git cd YoutubeAgent
bash
npm install pnpm install
bash
npm run build
bash
npx -y supergateway --stdio "node ./dist/index.js ." --port 8000 --baseUrl "http://localhost" --ssePath /sse --messagePath /message --cors "*"
bash
ngrok http 8000
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB MCP
Editorial quality
ready
MCP server for filesystem access YouTube Agent — MCP Server for YouTube Interaction An extensible $1 server‑agent that lets you interact with YouTube videos: fetch transcripts, ask questions, generate summaries, extract key points, create note files, and even manage folders and files — all within a scoped, secure directory. --- 🚀 Features - 🎥 **Transcript Fetching:** Retrieve closed captions/subtitles for a given YouTube video URL. - ❓ **Q&A:** An
An extensible Model Context Protocol (MCP) server‑agent that lets you interact with YouTube videos: fetch transcripts, ask questions, generate summaries, extract key points, create note files, and even manage folders and files — all within a scoped, secure directory.
.txt file (title, summary, key points, transcript excerpts) in a notes/ subdirectory.chat_with_video tool.@modelcontextprotocol/sdk over stdio, exposing tools for programmatic use.When you launch the agent, you specify one allowed directory (e.g. ~/youtube-agent-data). Inside it:
<allowed-dir>/
├─ notes/ ← Generated `.txt` note files
└─ (optional) ← You may add subdirectories or store raw transcripts here
The agent will auto‑create the notes/ folder if it doesn’t exist.
| Tool | Description |
|------------------------|--------------------------------------------------------------------------------------|
| fetch_transcript | Download captions/subtitles for a YouTube video. |
| ask_question | Answer a user’s question by searching the transcript text. |
| summarize_video | Produce a high‑level summary based on transcript word frequencies. |
| extract_key_points | Identify salient points using keyword triggers and frequency analysis. |
| create_notes | Generate and save a .txt file with title, summary, key points, and excerpts. |
| chat_with_video | Maintain conversational context across multiple Q&A calls. |
| create_directory | Create a new folder anywhere under the allowed directory (recursive). |
| delete_file | Remove a file from within the allowed directory. |
| write_file | Create or overwrite a file in the allowed directory (used for note and transcript). |
git [email protected]:zubayr-ahmad/YoutubeAgent.git
cd YoutubeAgent
npm install
pnpm install
npm run build
npx -y supergateway --stdio "node ./dist/index.js ." --port 8000 --baseUrl "http://localhost" --ssePath /sse --messagePath /message --cors "*"
ngrok http 8000
node-fetch) for fetching captionsvalidatePath() to enforce your allowed directory.chat_with_video is kept in memory—consider persisting if you need long‑term history.CallToolRequestSchema switch‑case to add new tools (e.g., advanced NLP, embedding-based search).PRs, issues, and ideas are welcome! Feel free to add new tools, improve parsing logic, or integrate with other platforms.
MIT License © 2025 Muhammad Zubair
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
mcp, api_key
Streaming
No
Data region
global
Protocol support
Requires: mcp, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
curl -s "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract"
curl -s "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
A Model Context Protocol (MCP) server for GitLab
A Model Context Protocol (MCP) server for GitLab
This agent researches trends, scripts videos, sets up engagement automation, and compiles everything into a shareable document.
This agent analyzes Reddit data to generate trending content concepts tailored to your audience.
Contract JSON
{
"contractStatus": "ready",
"authModes": [
"mcp",
"api_key"
],
"requires": [
"mcp",
"lang:typescript"
],
"forbidden": [],
"supportsMcp": true,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": "https://github.com/zubayr-ahmad/YoutubeAgent#input",
"outputSchemaRef": "https://github.com/zubayr-ahmad/YoutubeAgent#output",
"dataRegion": "global",
"contractUpdatedAt": "2026-02-24T19:45:50.706Z",
"sourceUpdatedAt": "2026-02-24T19:45:50.706Z",
"freshnessSeconds": 19550612
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_MCP",
"generatedAt": "2026-10-09T02:29:23.607Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "supported",
"confidenceSource": "contract",
"notes": "Confirmed by capability contract"
},
{
"key": "cli",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:MCP|supported|contract capability:cli|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
"sourceUrl": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-03-14T02:07:20.979Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP",
"href": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:45:50.706Z",
"isPublic": true
},
{
"factKey": "auth_modes",
"category": "compatibility",
"label": "Auth modes",
"value": "mcp, api_key",
"href": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:45:50.706Z",
"isPublic": true
},
{
"factKey": "schema_refs",
"category": "artifact",
"label": "Machine-readable schemas",
"value": "OpenAPI or schema references published",
"href": "https://github.com/zubayr-ahmad/YoutubeAgent#input",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/contract",
"sourceType": "contract",
"confidence": "high",
"observedAt": "2026-02-24T19:45:50.706Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Modelcontextprotocol",
"href": "https://modelcontextprotocol.io",
"sourceUrl": "https://modelcontextprotocol.io",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-02-24T19:43:14.176Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-zubayr-ahmad-youtubeagent/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Lifecycle - Model Context Protocol",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
"sourceUrl": "https://modelcontextprotocol.io/specification/latest/basic/lifecycle",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-03-14T02:07:20.979Z",
"isPublic": true
}
]Sponsored
Ads related to @modelcontextprotocol/server-filesystem and adjacent AI workflows.