Agent Knowledge▌
by itshare4u
Comprehensive knowledge management platform with Elasticsearch, file operations, and version control for efficient knowl
Provides knowledge management capabilities through Elasticsearch integration, file system operations, and Git/SVN version control with 31 specialized tools for document indexing, sandboxed file operations, and automated version control workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI assistants needing persistent knowledge storage
- / Document management and search workflows
- / Knowledge base creation and maintenance
- / Automated documentation systems
capabilities
- / Index documents into Elasticsearch with duplicate prevention
- / Search and retrieve documents by ID or content
- / Create and restore snapshots of document indices
- / Validate document schemas for proper structure
- / Manage file system operations in sandboxed environment
- / Handle Git/SVN version control workflows
what it does
Provides AI assistants with document management and search capabilities through Elasticsearch integration. Includes 31 tools for indexing, searching, backing up documents, and file system operations with version control support.
about
Agent Knowledge is a community-built MCP server published by itshare4u that provides AI assistants with tools and capabilities via the Model Context Protocol. Comprehensive knowledge management platform with Elasticsearch, file operations, and version control for efficient knowl It is categorized under databases, productivity. This server exposes 27 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Agent Knowledge in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Agent Knowledge is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Agent Knowledge MCP 🔍
Complete knowledge management for AI assistants
MCP server with Elasticsearch search and document management.
🚀 Features
🔑 All-in-One Solution:
- 🔍 Elasticsearch: Search, index, and manage documents
- 📊 Document Validation: Schema-enforced structure
- ⚙️ Configuration: Complete config management
- 🛡️ Security: Sandboxed operations
✨ Benefits:
- 🎯 20 Tools for knowledge management
- 🤖 Works with any MCP-compatible AI (Claude, ChatGPT, VS Code, etc.)
- 📚 Smart document management with validation
- ⚡ Elasticsearch integration for powerful search
⚡ Quick Start
Installation
# Install with uvx (recommended)
uvx agent-knowledge-mcp
Setup for Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"agent-knowledge": {
"command": "uvx",
"args": ["agent-knowledge-mcp"]
}
}
}
Setup for VS Code
🛠️ What You Can Do
Try these with your AI assistant:
- "Search documents for API authentication info"
- "Index this document with proper tags"
- "Create API documentation template"
- "Find related documents on specific topics"
- "Update configuration settings"
- "Validate document structure"
🔧 Tools Overview
Tools for knowledge management:
| Category | Tools | Description |
|---|---|---|
| 🔍 Elasticsearch | 9 | Search, index, manage documents |
| ⚙️ Administration | 11 | Config, security, monitoring |
🔒 Security & Configuration
Enterprise-grade security:
- ✅ Sandboxed operations - Configurable access controls
- ✅ Strict schema validation - Enforce document structure
- ✅ Audit trails - Full operation logging
- ✅ No cloud dependencies - Everything runs locally
Configuration example:
{
"security": {
"log_all_operations": true
},
"document_validation": {
"strict_schema_validation": true,
"allow_extra_fields": false
}
}
🤝 Contributing & Support
Development
git clone https://github.com/itshare4u/AgentKnowledgeMCP.git
cd AgentKnowledgeMCP
pip install -r requirements.txt
python3 src/main_server.py
Support the Project
Transform your AI into a powerful knowledge management system! 🚀
MIT License - Complete knowledge management solution for AI assistants
FAQ
- What is the Agent Knowledge MCP server?
- Agent Knowledge is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Agent Knowledge?
- This profile displays 32 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Direct Database Queries from AI
Enable Claude to query your database directly using natural language
Example
Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Data Analysis & Reporting
Generate complex reports and analytics without leaving conversation
Example
Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Schema Exploration
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Data Validation & Quality Checks
Run data quality queries to catch anomalies and inconsistencies
Example
Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor with MCP support
- ›Database credentials (read-only recommended for safety)
- ›Network access from Claude client to database
- ›Understanding of database security and access control
Time Estimate
15-30 minutes including configuration and testing
Installation Steps
- 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 8.Document query patterns for team use
Troubleshooting
- ⚠Connection refused: Check database is running and network accessible
- ⚠Authentication failed: Verify credentials, check user permissions
- ⚠Claude can't see tables: Grant appropriate read permissions to database user
- ⚠Slow queries: Add indexes, limit result set size, use read replicas
- ⚠MCP server not loading: Check config syntax, restart Claude Desktop
Best Practices▌
✓ Do
- +Use read-only database credentials to prevent accidental writes
- +Connect to read replica, not production primary database
- +Set query timeout limits to prevent long-running queries
- +Document database schema and common queries for AI context
- +Monitor query performance and optimize slow queries
- +Use connection pooling for better performance
- +Test with non-production data first
✗ Don't
- −Don't use production write credentials—risk of data corruption
- −Don't query production database during peak traffic hours
- −Don't expose sensitive PII without proper access controls
- −Don't skip query result validation—AI can misinterpret schema
- −Don't allow unlimited result set sizes—set LIMIT clauses
- −Don't share database credentials in plain text config files
💡 Pro Tips
- ★Create database views for common queries to simplify AI access
- ★Add schema comments/descriptions so AI understands column meanings
- ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
- ★Set up query logging to audit what Claude is querying
- ★Create saved query templates for recurring analysis
- ★Combine with data visualization tools for better insights
Technical Details▌
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
- Model Context Protocol (MCP)
- Database-specific protocols (PostgreSQL, MySQL, MongoDB)
Compatibility
- PostgreSQL
- MySQL
- SQLite
- MongoDB
- Redis
When to Use This▌
✓ Use When
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid When
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.
Integration▌
- →Read replica connection for analytics queries
- →Database view layer to abstract complex joins
- →Query result caching for repeated questions
- →Audit logging of all AI-generated queries
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★32 reviews- ★★★★★Hiroshi Menon· Dec 28, 2024
Useful MCP listing: Agent Knowledge is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Pratham Ware· Dec 20, 2024
According to our notes, Agent Knowledge benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Dev Abbas· Dec 20, 2024
We evaluated Agent Knowledge against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chinedu Jackson· Dec 12, 2024
Agent Knowledge reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Zara Torres· Nov 19, 2024
Strong directory entry: Agent Knowledge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Yash Thakker· Nov 11, 2024
We wired Agent Knowledge into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Arya Liu· Nov 3, 2024
I recommend Agent Knowledge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Neel Taylor· Oct 22, 2024
Strong directory entry: Agent Knowledge surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ren Sharma· Oct 10, 2024
I recommend Agent Knowledge for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Dhruvi Jain· Oct 2, 2024
Agent Knowledge is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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