Rank
83
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Use when needing to look up documentation, research libraries/frameworks, or gather information about any technology - dispatches sub-agents for all research to preserve context and ensure proper source citation --- name: researching-with-subagents description: Use when needing to look up documentation, research libraries/frameworks, or gather information about any technology - dispatches sub-agents for all research to preserve context and ensure proper source citation --- Researching with Sub-agents Overview **ALL research tasks MUST use sub-agents.** Research means looking up documentation, searching for information, or in Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
researching-with-subagents is best for read, look workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Use when needing to look up documentation, research libraries/frameworks, or gather information about any technology - dispatches sub-agents for all research to preserve context and ensure proper source citation --- name: researching-with-subagents description: Use when needing to look up documentation, research libraries/frameworks, or gather information about any technology - dispatches sub-agents for all research to preserve context and ensure proper source citation --- Researching with Sub-agents Overview **ALL research tasks MUST use sub-agents.** Research means looking up documentation, searching for information, or in
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
MCP
Freshness
Apr 15, 2026
Vendor
Jnpkr
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/jnpkr/researching-with-subagents.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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
Jnpkr
Protocol compatibility
MCP
Adoption signal
1 GitHub stars
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
Parameters
text
NO DIRECT RESEARCH. ALWAYS USE SUB-AGENTS.
text
Sub-agent must: 1. Use mcp__context7__resolve-library-id first 2. Use mcp__context7__get-library-docs with resolved ID 3. If authentication fails → STOP and report error 4. If library not found → STOP and report error
text
Context7 auth error → STOP, report to user Context7 library not found → STOP, report to user WebFetch 429 rate limit → STOP, report to user WebSearch no results → STOP, report to user
markdown
Research [specific question] for [technology]. Sources to try: 1. [Context7 MCP / WebSearch / WebFetch with URL] Requirements: - If source fails (auth error, 404, rate limit), STOP and return the exact error - Do NOT try alternative sources - Do NOT make assumptions or inferences - Do NOT look at existing code to guess Return: - Direct answer to the question - Code examples if available - Explicit source citation: "Source: [Context7 MCP - Library Name]" or "Source: [URL]" If you cannot get the information, return: "FAILED: [exact error message]"
markdown
❌ WRONG: - Search Context7 yourself - Look at existing auth code to guess - Make assumptions based on general CMS knowledge ✅ CORRECT: 1. Dispatch sub-agent with instructions: "Research role-based access control in Payload CMS. Sources: Context7 MCP - resolve 'payload cms' then get docs on 'access control roles' Requirements: - If Context7 fails, return the error and STOP - Must cite source explicitly - Include code examples" 2. Wait for sub-agent report 3. If sub-agent reports failure, report to user 4. If sub-agent succeeds, summarize findings with source citation
markdown
✅ GOOD: "Source: Context7 MCP - Payload CMS documentation (Library ID: /payloadcms/payload)" ✅ GOOD: "Source: https://nextjs.org/docs/app/building-your-application/optimizing/images" ❌ BAD: "Based on the documentation..." "According to best practices..." "The official docs say..."
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Use when needing to look up documentation, research libraries/frameworks, or gather information about any technology - dispatches sub-agents for all research to preserve context and ensure proper source citation --- name: researching-with-subagents description: Use when needing to look up documentation, research libraries/frameworks, or gather information about any technology - dispatches sub-agents for all research to preserve context and ensure proper source citation --- Researching with Sub-agents Overview **ALL research tasks MUST use sub-agents.** Research means looking up documentation, searching for information, or in
ALL research tasks MUST use sub-agents. Research means looking up documentation, searching for information, or investigating how technologies work. Sub-agents preserve your context window (50-100x savings) and ensure proper source citation.
NO DIRECT RESEARCH. ALWAYS USE SUB-AGENTS.
Use sub-agent for research when:
Do NOT research directly:
Research ≠ Reading existing codebase to verify patterns Research ≠ Checking current implementation Research ≠ Reviewing code you just wrote
You CAN read existing code without sub-agent to:
You CANNOT read existing code to:
For: Known libraries/frameworks (Payload CMS, Next.js, React, PostgreSQL, etc.)
Sub-agent must:
1. Use mcp__context7__resolve-library-id first
2. Use mcp__context7__get-library-docs with resolved ID
3. If authentication fails → STOP and report error
4. If library not found → STOP and report error
Never: Automatically fall back to WebSearch on failure
For: Technologies NOT in Context7, or when explicitly requested
Never: As automatic fallback when Context7 fails
For: Specific URLs from WebSearch results OR URLs provided by user
Never: Random documentation sites without verification
When research fails:
Context7 auth error → STOP, report to user
Context7 library not found → STOP, report to user
WebFetch 429 rate limit → STOP, report to user
WebSearch no results → STOP, report to user
NEVER:
Research [specific question] for [technology].
Sources to try:
1. [Context7 MCP / WebSearch / WebFetch with URL]
Requirements:
- If source fails (auth error, 404, rate limit), STOP and return the exact error
- Do NOT try alternative sources
- Do NOT make assumptions or inferences
- Do NOT look at existing code to guess
Return:
- Direct answer to the question
- Code examples if available
- Explicit source citation: "Source: [Context7 MCP - Library Name]" or "Source: [URL]"
If you cannot get the information, return:
"FAILED: [exact error message]"
| Excuse | Reality | |--------|---------| | "Quick question, no sub-agent overhead" | Sub-agents save 50-100x context. Always worth it. | | "Context7 faster than sub-agent" | Seconds faster, thousands of tokens wasted. Use sub-agent. | | "Simple lookup, seems like overkill" | ALL research uses sub-agents. No complexity threshold. | | "Time pressure, need answer now" | Sub-agents ARE faster - they preserve your context. | | "I probably know this already" | Assumptions are wrong. Research official docs. | | "Let me check existing code first" | Only valid to VERIFY after research, not INSTEAD of research. | | "This is straightforward enough" | Straightforward = perfect for sub-agent. Do it. |
If you're thinking ANY of these thoughts, STOP and use a sub-agent:
User asks: "How do I handle role-based access in Payload CMS?"
❌ WRONG:
- Search Context7 yourself
- Look at existing auth code to guess
- Make assumptions based on general CMS knowledge
✅ CORRECT:
1. Dispatch sub-agent with instructions:
"Research role-based access control in Payload CMS.
Sources: Context7 MCP - resolve 'payload cms' then get docs on 'access control roles'
Requirements:
- If Context7 fails, return the error and STOP
- Must cite source explicitly
- Include code examples"
2. Wait for sub-agent report
3. If sub-agent reports failure, report to user
4. If sub-agent succeeds, summarize findings with source citation
Every research result MUST include explicit source:
✅ GOOD:
"Source: Context7 MCP - Payload CMS documentation (Library ID: /payloadcms/payload)"
✅ GOOD:
"Source: https://nextjs.org/docs/app/building-your-application/optimizing/images"
❌ BAD:
"Based on the documentation..."
"According to best practices..."
"The official docs say..."
These do NOT require sub-agent:
cd, ls, mkdir, git status)install, update, init)These DO require sub-agent:
pnpm install --frozen-lockfile)Rule: If it's documented in a library's/framework's official docs, it requires research.
When in doubt: Use sub-agent. Common knowledge threshold is VERY narrow.
Debugging without sub-agent:
Debugging that requires sub-agent:
Rule: If debugging reveals you don't understand HOW something should work, switch to research with sub-agent.
Questions about methodology (no sub-agent needed):
Questions requiring verification (need sub-agent):
Research = Sub-agent. Every single time.
Only exception: Narrow common knowledge threshold. Sub-agents preserve context and ensure quality. Use them.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/snapshot"
curl -s "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/contract"
curl -s "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/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
Do not use if
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.
Rank
83
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Rank
80
A Model Context Protocol (MCP) server for GitLab
Traction
No public download signal
Freshness
Updated 2d ago
Rank
74
Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)
Traction
No public download signal
Freshness
Updated 2d ago
Rank
72
An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)
Traction
No public download signal
Freshness
Updated 2d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T03:35:08.299Z"
}
},
"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": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "read",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "look",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile capability:read|supported|profile capability:look|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Jnpkr",
"href": "https://github.com/jnpkr/researching-with-subagents",
"sourceUrl": "https://github.com/jnpkr/researching-with-subagents",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T04:14:48.895Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "MCP",
"href": "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T04:14:48.895Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/jnpkr/researching-with-subagents",
"sourceUrl": "https://github.com/jnpkr/researching-with-subagents",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T04:14:48.895Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/jnpkr-researching-with-subagents/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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