Xpersona

Crawler Summary

libdocs-mcp answer-first brief

Multi-agent MCP server providing smart documentation lookup, repository analysis, and web research with relevance-focused filtering LibDocs MCP Server $1 $1 $1 $1 Multi-agent MCP server that keeps your LLM focused by returning only the documentation, repository insights, and web intelligence each query truly needs. LibDocs inserts three specialized retrieval and reasoning agents between your coding assistant and external knowledge sources (Context7 documentation, DeepWiki repository analysis, and real-time web research via Tavily). Each agent fil 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

libdocs-mcp 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 93/100

libdocs-mcp

Multi-agent MCP server providing smart documentation lookup, repository analysis, and web research with relevance-focused filtering LibDocs MCP Server $1 $1 $1 $1 Multi-agent MCP server that keeps your LLM focused by returning only the documentation, repository insights, and web intelligence each query truly needs. LibDocs inserts three specialized retrieval and reasoning agents between your coding assistant and external knowledge sources (Context7 documentation, DeepWiki repository analysis, and real-time web research via Tavily). Each agent fil

MCPverified

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Hudrazine

Artifacts

0

Benchmarks

0

Last release

0.0.2

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/hudrazine/libdocs-mcp.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Hudrazine

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

MCP

contracthigh
Observed Feb 24, 2026Source linkProvenance

Auth modes

mcp, api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

1

Snippets

0

Languages

typescript

Executable Examples

json

{
     "mcpServers": {
       "libdocs": {
         "command": "npx",
         "args": ["-y", "libdocs-mcp@latest"],
         "env": {
           "OPENROUTER_API_KEY": "your-openrouter-api-key",
           "TAVILY_API_KEY": "your-tavily-api-key",
           "GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-token"
         }
       }
     }
   }

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Multi-agent MCP server providing smart documentation lookup, repository analysis, and web research with relevance-focused filtering LibDocs MCP Server $1 $1 $1 $1 Multi-agent MCP server that keeps your LLM focused by returning only the documentation, repository insights, and web intelligence each query truly needs. LibDocs inserts three specialized retrieval and reasoning agents between your coding assistant and external knowledge sources (Context7 documentation, DeepWiki repository analysis, and real-time web research via Tavily). Each agent fil

Full README

LibDocs MCP Server

NPM Version Node Version License TypeScript

Multi-agent MCP server that keeps your LLM focused by returning only the documentation, repository insights, and web intelligence each query truly needs.

LibDocs inserts three specialized retrieval and reasoning agents between your coding assistant and external knowledge sources (Context7 documentation, DeepWiki repository analysis, and real-time web research via Tavily). Each agent filters aggressively for relevance, structures results, and minimizes token overhead—improving information purity, lowering cost and latency variance, and sustaining longer productive sessions.

✨ Features

  • Smart Documentation Lookup (Context7)

    • Relevance-first filtering and summarization
    • Library resolution with cache and version awareness
    • Token-aware, structured results

  • Intelligent Repository Analysis (DeepWiki)

    • Repo discovery and topic-guided Q&A
    • Focused architecture and implementation insights
    • Clear partial/warning handling and retry logic

  • Comprehensive Web Research (Tavily)

    • Strategic search → targeted fetch → structured synthesis
    • Source verification and recency checks
    • Ethical and quality safeguards

🚀 Installation

Requirements

  • Node.js >= 22.0.0
  • OpenRouter API Key (Required)
  • Tavily API Key (Optional, for web research)
  • GitHub Personal Access Token (Optional, improves rate limits)

Setup Steps

  1. Open your MCP configuration file:

    Locate and open your MCP client's configuration file. This is typically found in your user's configuration directory as mcp.json or similar. Check your MCP client's documentation for the exact location and method to access the configuration file.

  2. Add the server configuration:

    {
  "mcpServers": {
    "libdocs": {
      "command": "npx",
      "args": ["-y", "libdocs-mcp@latest"],
      "env": {
        "OPENROUTER_API_KEY": "your-openrouter-api-key",
        "TAVILY_API_KEY": "your-tavily-api-key",
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-token"
      }
    }
  }
}

Advanced Configuration

Customize behavior with environment variables:

  • LIBDOCS_DEFAULT_AGENT_MODEL: Default AI model for all agents (default: x-ai/grok-code-fast-1)
  • LIBDOCS_CONTEXT7_AGENT_MODEL: AI model for library documentation agent
  • LIBDOCS_DEEPWIKI_AGENT_MODEL: AI model for GitHub analysis agent
  • LIBDOCS_WEB_SEARCH_AGENT_MODEL: AI model for web research agent
  • LIBDOCS_WEB_SEARCH_LIMIT: Max web search results (1-20, default: 10)

📖 Usage

Quick Examples

Library docs (library_docs_lookup)

  • "React Router v6 migration guide — return only breaking changes and upgrade examples. Exclude unrelated content."
  • "Express.js v4.18 middleware API — focus on app.use and error-handling patterns with short examples."

GitHub repo analysis (github_repo_analyzer)

  • "Analyze vuejs/vue reactivity: outline core modules, dependency graph, typical data flow, and key files. Provide implementation insights based on DeepWiki."
  • "Find a popular React state management repo (search: 'react state management recoil zustand jotai'), choose the best candidate, explain the architecture, and list key modules. Include stars/description from discovery."

Web research (web_research_assistant)

  • "Compare Next.js vs SvelteKit in 2025 for SSR performance, DX, and ecosystem. Use sources from the last 3 months and cite each source."
  • "Troubleshoot 'pnpm install' network errors on Ubuntu 24.04 — compile the top 3 actionable fixes with links to official docs or reputable sources and include publication dates."

🛠️ Tools

library_docs_lookup

Provides official documentation retrieval for libraries and frameworks with relevance-first filtering.

Inputs:

  • prompt (string, required): Library name/version and specific documentation query
    • Examples: "React Router v6 migration guide", "express v4.18 middleware API — focus on app.use and error handling"

github_repo_analyzer

Provides AI-powered analysis of GitHub repositories, explaining architecture and implementation patterns.

Inputs:

  • prompt (string, required): Repository in owner/repo format or discovery query plus technical question
    • Examples: "facebook/react component lifecycle implementation", "react state management repos — compare architecture"

web_research_assistant

Conducts comprehensive web research across multiple sources with structured synthesis.

Inputs:

  • prompt (string, required): Research topic requiring broad web coverage
    • Examples: "Compare Next.js vs SvelteKit in 2025", "Ubuntu 24.04 pnpm install network errors — top fixes"

🧠 Agent Details

Context7 Agent (Smart Documentation Lookup)

  • Background
    • Context7's default large token retrieval can overfill LLM context windows and include low-relevance content. The agent sits between your coding agent and Context7 to deliver only what the query needs.
  • Workflow
    • Library ID resolution with cache (prefers exact name → trust score → snippet count); version-aware
    • Focused retrieval with a single retry on failure
    • Structured output with source attribution and consistent success/partial/error formats
    • Token-aware memory limits to prevent runaway accumulation
  • Error handling
    • Clear messages for not found, multiple matches (selection rationale), retrieval failures (single retry), and partial content warnings

DeepWiki Agent (Intelligent Repository Analysis)

  • Background
    • Helps target the right repo and topics, then synthesizes focused insights without flooding the context window.
  • Workflow
    • Repository discovery with cache (when owner/repo not provided) using stars/relevance/non-fork criteria
    • Documentation structure discovery via DeepWiki and topic mapping
    • Targeted question formulation and single-retry retrieval
    • Structured Markdown output with repository attribution and partial/warning handling
  • Error handling
    • Explicit errors for discovery, availability, and structure retrieval; graceful partial results

Web Research Agent (Comprehensive Web Research)

  • Background
    • Provides up-to-date findings from the open web while minimizing context usage.
  • Workflow
    • Broad-to-narrow searches (concise queries), web_fetch deep dives, documented search trail
    • Structured synthesis: Executive Summary → Key Findings (with citations) → Detailed Analysis → Source Quality Notes → Further Investigation
    • Quality and ethics: short quotes, neutrality, privacy safeguards, self-verification checklist
  • Error handling
    • Clear notes on uncertainty/conflicts, and explicit partial-coverage warnings

🔧 Troubleshooting

Missing OPENROUTER_API_KEY

Solution: Add your OpenRouter API key to the MCP configuration's env section.

Web research not working

Solution: Add TAVILY_API_KEY to your MCP configuration.

🔗 Links

📄 License

MIT License - see LICENSE for details.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

No

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Protocol support is explicitly confirmed in contract metadata.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

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

MCP
GITLAB_AI_CATALOGrmcp-actix-web

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

MCP
Agent hubMore from this sourceMCP agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/hudrazine/libdocs-mcp#input",
  "outputSchemaRef": "https://github.com/hudrazine/libdocs-mcp#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:32.398Z",
  "sourceUpdatedAt": "2026-02-24T19:46:32.398Z",
  "freshnessSeconds": 4433655
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T03:20:48.040Z"
    }
  },
  "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": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mcp-server",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "documentation",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mastra",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "context7",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "deepwiki",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "tavily",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "web-research",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "repository-analysis",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "llm-tools",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:mcp|supported|profile capability:mcp-server|supported|profile capability:model-context-protocol|supported|profile capability:documentation|supported|profile capability:ai-agent|supported|profile capability:mastra|supported|profile capability:context7|supported|profile capability:deepwiki|supported|profile capability:tavily|supported|profile capability:web-research|supported|profile capability:repository-analysis|supported|profile capability:llm-tools|supported|profile capability:cli|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": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:32.398Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:32.398Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/hudrazine/libdocs-mcp#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:32.398Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Hudrazine",
    "href": "https://github.com/hudrazine/libdocs-mcp#readme",
    "sourceUrl": "https://github.com/hudrazine/libdocs-mcp#readme",
    "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://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-hudrazine-libdocs-mcp/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
  }
]

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Ads related to libdocs-mcp and adjacent AI workflows.