Agent Knowledge MCP▌
by itshare4u
Agent Knowledge MCP: Model Context Protocol server combining an Elasticsearch knowledge base with file ops, document val
A comprehensive Model Context Protocol server that integrates Elasticsearch search with file operations, document validation, and version control to transform AI assistants into powerful knowledge management systems.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Knowledge workers organizing research and documents
- / Development teams managing API documentation
- / Content creators building searchable archives
capabilities
- / Search documents using Elasticsearch
- / Index and organize files with metadata
- / Validate documents against schemas
- / Manage configuration settings
- / Create document templates
- / Find related documents by topic
what it does
Integrates Elasticsearch search with file operations and document management to turn AI assistants into knowledge management systems. Provides searchable document indexing and validation with 20 tools for managing files and data.
about
Agent Knowledge MCP is a community-built MCP server published by itshare4u that provides AI assistants with tools and capabilities via the Model Context Protocol. Agent Knowledge MCP: Model Context Protocol server combining an Elasticsearch knowledge base with file ops, document val It is categorized under databases, productivity.
how to install
You can install Agent Knowledge MCP 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 MCP 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 MCP server?
- Agent Knowledge MCP 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 MCP?
- This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 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
4.6★★★★★30 reviews- ★★★★★Chaitanya Patil· Dec 16, 2024
Strong directory entry: Agent Knowledge MCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Noor Iyer· Dec 4, 2024
I recommend Agent Knowledge MCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Noor Mensah· Nov 23, 2024
We evaluated Agent Knowledge MCP against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Piyush G· Nov 7, 2024
Agent Knowledge MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Shikha Mishra· Oct 26, 2024
We evaluated Agent Knowledge MCP against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Noor Robinson· Oct 14, 2024
Agent Knowledge MCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Rahul Santra· Sep 17, 2024
Agent Knowledge MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Carlos Martin· Sep 13, 2024
We wired Agent Knowledge MCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Noor White· Sep 5, 2024
According to our notes, Agent Knowledge MCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ama Martin· Aug 24, 2024
Agent Knowledge MCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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