How should mcp-csv-analysis-gemini be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

mcp-csv-analysis-gemini answer-first brief

CSV Analysis tool using Google Gemini AI MCP CSV Analysis with Gemini AI A powerful Model Context Protocol (MCP) server that provides advanced CSV analysis and thinking generation capabilities using Google's Gemini AI. This tool integrates seamlessly with Claude Desktop and offers sophisticated data analysis, visualization, and natural language processing features. 🌟 Features 1. CSV Analysis Tool (analyze-csv) - **Comprehensive Data Analysis**: Performs de Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. 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

mcp-csv-analysis-gemini 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 80/100

mcp-csv-analysis-gemini

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal2 GitHub stars

Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.

2 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Falahgs

Artifacts

Benchmarks

Last release

1.0.0

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. 2 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
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

Falahgs

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Adoption (1)

Adoption signal

2 GitHub stars

profilemedium

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

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

Examples

Snippets

Languages

typescript

Docs & README

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

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

MCP CSV Analysis with Gemini AI

A powerful Model Context Protocol (MCP) server that provides advanced CSV analysis and thinking generation capabilities using Google's Gemini AI. This tool integrates seamlessly with Claude Desktop and offers sophisticated data analysis, visualization, and natural language processing features.

🌟 Features

1. CSV Analysis Tool (`analyze-csv`)

Comprehensive Data Analysis: Performs detailed Exploratory Data Analysis (EDA) on CSV files
Two Analysis Modes:
- basic: Quick overview and essential statistics
- detailed: In-depth analysis with advanced insights
Analysis Components:
- Statistical analysis of all columns
- Data quality assessment
- Pattern recognition
- Correlation analysis
- Feature importance evaluation
- Preprocessing recommendations
- Business insights
- Visualization suggestions

2. Data Visualization Tool (`visualize-data`)

Interactive Visualizations: Creates beautiful and informative charts using Plotly
Visualization Types:
- basic: Automatic visualization selection based on data types
- advanced: Complex multi-variable visualizations
- custom: User-defined chart configurations
Chart Types:
- Histograms for distribution analysis
- Correlation heatmaps
- Scatter plots
- Line charts
- Bar charts
- Box plots
Features:
- Automatic data type detection
- Smart chart selection
- Interactive plots
- High-resolution exports
- Customizable layouts

3. Thinking Generation Tool (`generate-thinking`)

Generates detailed thinking process text using Gemini's experimental model
Supports complex reasoning and analysis
Saves responses with timestamps
Customizable output directory

🚀 Quick Start

Prerequisites

Node.js (v16 or higher)
TypeScript
Claude Desktop
Google Gemini API Key
Plotly Account (for visualizations)

Installation

Clone and setup:

git clone [your-repo-url]
cd mcp-csv-analysis-gemini
npm install

Create .env file:

GEMINI_API_KEY=your_api_key_here

Build the project:

npm run build

Claude Desktop Configuration

Create/Edit %AppData%/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "CSV Analysis": {
      "command": "node",
      "args": ["path/to/mcp-csv-analysis-gemini/dist/index.js"],
      "cwd": "path/to/mcp-csv-analysis-gemini",
      "env": {
        "GEMINI_API_KEY": "your_api_key_here",
        "PLOTLY_USERNAME": "your_plotly_username",
        "PLOTLY_API_KEY": "your_plotly_api_key"
      }
    }
  }
}

Restart Claude Desktop

📊 Using the Tools

CSV Analysis

{
  "name": "analyze-csv",
  "arguments": {
    "csvPath": "./data/your_file.csv",
    "analysisType": "detailed",
    "outputDir": "./custom_output"
  }
}

Data Visualization

{
  "name": "visualize-data",
  "arguments": {
    "csvPath": "./data/your_file.csv",
    "visualizationType": "basic",
    "columns": ["column1", "column2"],
    "chartTypes": ["histogram", "scatter"],
    "outputDir": "./custom_output"
  }
}

Thinking Generation

{
  "name": "generate-thinking",
  "arguments": {
    "prompt": "Your complex analysis prompt here",
    "outputDir": "./custom_output"
  }
}

📁 Output Structure

output/
├── analysis/
│   ├── csv_analysis_[timestamp]_part1.txt
│   ├── csv_analysis_[timestamp]_part2.txt
│   └── csv_analysis_[timestamp]_summary.txt
├── visualizations/
│   ├── histogram_[column]_[timestamp].png
│   ├── scatter_[columns]_[timestamp].png
│   └── correlation_heatmap_[timestamp].png
└── thinking/
    └── gemini_thinking_[timestamp].txt

📊 Visualization Types

Basic Visualizations

Automatically generated based on data types
Includes:
- Histograms for numeric columns
- Correlation heatmaps
- Basic scatter plots

Advanced Visualizations

More sophisticated charts
Multiple variables
Enhanced layouts
Custom color schemes

Custom Visualizations

User-defined chart types
Configurable parameters
Custom styling options
Advanced plot layouts

🛠️ Development

Available Scripts

npm run build: Compile TypeScript to JavaScript
npm run start: Start the MCP server
npm run dev: Run in development mode with ts-node

Environment Variables

GEMINI_API_KEY: Your Google Gemini API key
PLOTLY_USERNAME: Your Plotly username
PLOTLY_API_KEY: Your Plotly API key

📝 Analysis Details

Basic Analysis Includes

Basic statistical summary for each column
Data quality assessment
Key insights and patterns
Potential correlations
Recommendations for further analysis

Detailed Analysis Includes

Comprehensive statistical analysis
- Distribution analysis
- Central tendency measures
- Dispersion measures
- Outlier detection
Advanced data quality assessment
Pattern recognition
Correlation analysis
Feature importance analysis
Preprocessing recommendations
Visualization suggestions
Business insights

⚠️ Limitations

Maximum file size: Dependent on system memory
Rate limits: Based on Gemini API and Plotly quotas
Output token limit: 65,536 tokens per response
CSV format: Standard CSV files only
Analysis time: Varies with data size and complexity
Visualization limits: Based on Plotly free tier restrictions

🔒 Security Notes

Store your API keys securely
Don't share your .env file
Review CSV data for sensitive information
Use custom output directories for sensitive analyses
Secure your Plotly credentials

🐛 Troubleshooting

Common Issues

API Key Error
- Verify .env file exists
- Check API key validity
- Ensure proper environment loading
CSV Parsing Error
- Verify CSV file format
- Check file permissions
- Ensure file is not empty
Claude Desktop Connection
- Verify config.json syntax
- Check file paths in config
- Restart Claude Desktop

Debug Mode

Add DEBUG=true to your .env file for verbose logging:

GEMINI_API_KEY=your_key_here
DEBUG=true

📚 API Reference

CSV Analysis Tool

interface AnalyzeCSVParams {
  csvPath: string;          // Path to CSV file
  outputDir?: string;       // Optional output directory
  analysisType?: 'basic' | 'detailed';  // Analysis type
}

Data Visualization Tool

interface VisualizeDataParams {
  csvPath: string;          // Path to CSV file
  outputDir?: string;       // Optional output directory
  visualizationType?: 'basic' | 'advanced' | 'custom';  // Visualization type
  columns?: string[];       // Columns to visualize
  chartTypes?: ('scatter' | 'line' | 'bar' | 'histogram' | 'box' | 'heatmap')[];  // Chart types
  customConfig?: Record<string, any>;  // Custom configuration
}

Thinking Generation Tool

interface GenerateThinkingParams {
  prompt: string;           // Analysis prompt
  outputDir?: string;       // Optional output directory
}

🤝 Contributing

Fork the repository
Create your feature branch
Commit your changes
Push to the branch
Create a Pull Request

📄 License

MIT License - See LICENSE file for details

Contract & API

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

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: high_risk

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-falahgs-mcp-csv-analysis-with-gemini-ai/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/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

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

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

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

Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [
    "high_risk"
  ],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI#input",
  "outputSchemaRef": "https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:52.668Z",
  "sourceUpdatedAt": "2026-02-24T19:46:52.668Z",
  "freshnessSeconds": 4422399
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T00:13:31.886Z"
    }
  },
  "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": "discord",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "claude",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:discord|supported|profile capability:mcp|supported|profile capability:claude|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-falahgs-mcp-csv-analysis-with-gemini-ai/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:52.668Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:52.668Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:52.668Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Falahgs",
    "href": "https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI",
    "sourceUrl": "https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "2 GitHub stars",
    "href": "https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI",
    "sourceUrl": "https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI",
    "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-falahgs-mcp-csv-analysis-with-gemini-ai/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-falahgs-mcp-csv-analysis-with-gemini-ai/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
  }
]

mcp-csv-analysis-gemini answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

MCP CSV Analysis with Gemini AI

🌟 Features

1. CSV Analysis Tool (analyze-csv)

2. Data Visualization Tool (visualize-data)

3. Thinking Generation Tool (generate-thinking)

🚀 Quick Start

Prerequisites

Installation

Claude Desktop Configuration

📊 Using the Tools

CSV Analysis

Data Visualization

Thinking Generation

📁 Output Structure

📊 Visualization Types

Basic Visualizations

Advanced Visualizations

Custom Visualizations

🛠️ Development

Available Scripts

Environment Variables

📝 Analysis Details

Basic Analysis Includes

Detailed Analysis Includes

⚠️ Limitations

🔒 Security Notes

🐛 Troubleshooting

Common Issues

Debug Mode

📚 API Reference

CSV Analysis Tool

Data Visualization Tool

Thinking Generation Tool

🤝 Contributing

📄 License

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents

1. CSV Analysis Tool (`analyze-csv`)

2. Data Visualization Tool (`visualize-data`)

3. Thinking Generation Tool (`generate-thinking`)