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peterbeck111/knowledgelib-io

· github.com/peterbeck111/knowledgelib-io

verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics, report issues. Confidence scores, source provenance, and freshness tracking. Free, no API key required.

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Scored 6 months ago · breakdown

About peterbeck111/knowledgelib-io

peterbeck111/knowledgelib-io is an MCP server in the Browser category: verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics, report issues. Confidence scores, source provenance, and freshness tracking. Free, no API key required.

Install

From source
git clone https://github.com/peterbeck111/knowledgelib-io

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (6)

batch_querySearch multiple topics in one call (max 10)

Parameters not published.

get_unitRetrieve full markdown content by ID

Parameters not published.

list_domainsList all domains with unit counts

Parameters not published.

query_knowledgeSearch across all knowledge units with filters

Parameters not published.

report_issueFlag incorrect, outdated, or broken content

Parameters not published.

suggest_questionSubmit a topic request for new unit creation

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

knowledgelib.io

AI Knowledge Library — structured, cited knowledge units for AI agents. Pre-verified answers that save tokens, reduce hallucinations, and cite every source.

What is this?

1,564 knowledge units across 16 domains (consumer electronics, software, business strategy, ERP integration, compliance, energy, finance, and more). Each unit answers one canonical question with:

  • Confidence scores (0.0-1.0) per published methodology
  • Inline source citations from 5-8 authoritative sources
  • Freshness tracking with verified dates and temporal validity
  • Quality status — verified, needs_review, or unreliable
  • Knowledge graph — related units with typed edges

One API call replaces 5 web searches and 8,000 tokens of parsing.

Quick Start

MCP Server (Claude, Cursor, Windsurf)

npx knowledgelib-mcp

Or add to claude_desktop_config.json:

{
  "mcpServers": {
    "knowledgelib": {
      "command": "npx",
      "args": ["knowledgelib-mcp"]
    }
  }
}

MCP over HTTP (no install needed)

POST https://knowledgelib.io/mcp

Streamable HTTP transport, JSON-RPC 2.0, MCP spec 2025-03-26.

REST API

# Search
curl https://knowledgelib.io/api/v1/query?q=best+wireless+earbuds+under+150

# Batch search (up to 10 queries)
curl -X POST https://knowledgelib.io/api/v1/batch \
  -H "Content-Type: application/json" \
  -d '{"queries":[{"q":"earbuds"},{"q":"headphones"}]}'

# Get full unit
curl https://knowledgelib.io/api/v1/units/consumer-electronics/audio/wireless-earbuds-under-150/2026.md

# Health check
curl https://knowledgelib.io/api/v1/health

LangChain (Python)

pip install langchain-knowledgelib

from langchain_knowledgelib import KnowledgelibRetriever
retriever = KnowledgelibRetriever()
docs = retriever.invoke("best wireless earbuds")

n8n

npm install n8n-nodes-knowledgelib

MCP Tools

Tool Description Read-only
query_knowledge Search across all knowledge units with filters Yes
batch_query Search multiple topics in one call (max 10) Yes
get_unit Retrieve full markdown content by ID Yes
list_domains List all domains with unit counts Yes
suggest_question Submit a topic request for new unit creation No
report_issue Flag incorrect, outdated, or broken content No

All read-only tools are marked with readOnlyHint: true and idempotentHint: true per MCP spec 2025-03-26, enabling parallel execution by agents.

API Features

  • Structured error codes with retryable flag and retry_after_ms
  • ETag / If-None-Match caching (304 Not Modified)
  • Correlation IDs (X-Request-Id header on all responses)
  • Quality status (verified / needs_review / unreliable) on all results
  • Related units for knowledge graph traversal
  • Content previews (150-char summaries without fetching full unit)
  • Token budgeting (total_tokens across results)
  • Rate limiting on write endpoints (10 suggestions/hr, 20 feedback/hr)
  • Zod validation with per-field error messages

Entity Types

Type Count Description
product_comparison 418 Best-of roundups with decision logic and buy links
concept 336 Definitions of terms agents often get wrong
software_reference 239 Code examples, anti-patterns, decision trees
execution_recipe 202 Step-by-step implementation plans
erp_integration 166 API capabilities, rate limits, data mapping
agent_prompt 55 System prompts for pipeline sub-agents
assessment 54 Structured scoring frameworks
decision_framework 35 Decision trees with trade-offs
benchmark 28 Industry benchmarks by segment
rule 28 Actionable directives with evidence

Discovery

Links

License

CC BY-SA 4.0

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About peterbeck111/knowledgelib-io

How do I install peterbeck111/knowledgelib-io?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is peterbeck111/knowledgelib-io safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is peterbeck111/knowledgelib-io still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.