AgentIndex icon
AgentIndex
mcp-server logo
mcp-server
★ 85
vs
CogniLayer logo
CogniLayer
★ 28

mcp-server vs CogniLayer

mcp-server: Keboola MCP Server is an open-source bridge that connects Keboola projects with various AI tools and assistants, enabling AI agents to access and utilize Keboola features like data storage, SQL transformations, and job triggers. It transforms Keboola functionalities into callable tools, simplifying data exposure and management for AI-driven workflows without requiring glue code.; CogniLayer: CogniLayer is an advanced tool that equips AI agents with persistent knowledge and deep code intelligence, preventing them from repeatedly learning your codebase. It significantly saves tokens by compressing context and providing immediate access to architectural understanding, past decisions, and bug fixes.

01

TL;DR

mcp-server logo
mcp-serverRAG / Knowledge Base · ★ 85

Explore Keboola data using natural language queries to find information or specific data points.

Read mcp-server full review →
CogniLayer logo
CogniLayerRAG / Knowledge Base · ★ 28

Debugging: Quickly diagnose and fix issues by accessing historical facts, common pitfalls, and previous error resolutions.

Read CogniLayer full review →
02

Side-by-Side Comparison

Field
mcp-server logomcp-server
CogniLayer logoCogniLayer
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 85
★ 28
License
MIT
NOASSERTION
Install Command
docker pull keboola/mcp-server:latest && docker run --name keboola_mcp_server --rm -it -p 127.0.0.1:8000:8000 -e KBC_STORAGE_API_URL="https://connection.YOUR_REGION.keboola.com" -e KBC_STORAGE_TOKEN="YOUR_KEBOOLA_STORAGE_TOKEN" -e KBC_WORKSPACE_SCHEMA="YOUR_WORKSPACE_SCHEMA" -e KBC_BRANCH_ID="YOUR_BRANCH_ID_OPTIONAL" keboola/mcp-server:latest --transport streamable-http --host 0.0.0.0
git clone https://github.com/LakyFx/CogniLayer.git && cd CogniLayer && python install.py
Updated
1d ago
5mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Keboola, Data Integration
AI Agents, Persistent Memory, Code Intelligence
03

Features

mcp-server logomcp-server
01Storage: Query and manage data tables/buckets directly.
02SQL: Create SQL transformations using natural language.
03Jobs: Run components and transformations, and retrieve job execution details.
04Flows: Build and manage workflow pipelines using Conditional and Orchestrator Flows.
05Dev Branches: Work safely in development branches without affecting production data.
CogniLayer logoCogniLayer
01Code Intelligence: Provides detailed call graphs and impact analysis using AST parsing.
02Hybrid Semantic Search: Combines full-text and vector search for precise, rapid knowledge retrieval.
03Significant Token Savings: Reduces context window usage by replacing file reads with targeted memory queries.
04Subagent Memory Protocol: Compresses subagent research findings to minimal tokens, storing details in a database.
05Persistent Knowledge & Crash Recovery: Ensures knowledge, decisions, and session progress are retained across agents and crashes.
04

Use Cases

mcp-server logomcp-server
↳Explore Keboola data using natural language queries to find information or specific data points.
↳Analyze data and find correlations through AI agents for tasks like sales analysis or trend identification.
↳Create SQL transformations and manage data extraction jobs, automating data pipeline operations.
CogniLayer logoCogniLayer
↳Debugging: Quickly diagnose and fix issues by accessing historical facts, common pitfalls, and previous error resolutions.
↳Code Impact Analysis: Understand the full scope and potential breaking points of code changes, refactors, or new feature implementations.
↳Refactoring Assistance: Streamline renaming, restructuring, or splitting services by leveraging stored architectural decisions and impact assessments.
↳Crash Recovery & Session Continuity: Instantly resume work after a crash or across different AI agents, with full context of past progress and blockers.
FAQ

FAQ

What is the difference between mcp-server and CogniLayer?
Both mcp-server and CogniLayer are in the RAG / Knowledge Base category. mcp-server has 85 stars, while CogniLayer has 28 stars.
Which is better, mcp-server or CogniLayer?
The best choice depends on your use case. Choose mcp-server if Explore Keboola data using natural language queries to find information or specific data points., and CogniLayer if Debugging: Quickly diagnose and fix issues by accessing historical facts, common pitfalls, and previous error resolutions..
Is mcp-server free or open source?
Yes, mcp-server is open source on GitHub (MIT).
Is CogniLayer free or open source?
Yes, CogniLayer is open source on GitHub (NOASSERTION).
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