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MCP verified MIT Self-run

Mcp Local Analyst

mcp-fabiothiroki-mcp-local-analyst · by fabiothiroki

Talk to your data locally 💬📊. A private AI Data Analyst built with the Model Context Protocol (MCP), Ollama, and SQLite. Turn natural language into SQL queries without data leaving your machine. Includes a Dockerized Streamlit UI

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Install

$ agentstack add mcp-fabiothiroki-mcp-local-analyst

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-fabiothiroki-mcp-local-analyst)

Reliability & compatibility

✓ Security review passed
0 installs to date
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○ 7mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

MCP Local Analyst

Talk to your data locally 💬📊. A private AI Data Analyst built with the Model Context Protocol (MCP), Ollama, and SQLite. Turn natural language into SQL queries without data leaving your machine. Includes a Dockerized Streamlit UI

📝 Read the full article on Medium

Getting Started

Prerequisites

Before running the application, make sure you have the following installed:

  1. Docker & Docker Compose - Required for running the application in containers
  • Install Docker Desktop from docker.com
  • Includes Docker Compose by default
  1. Ollama - For running local LLM models
  • Download from ollama.ai
  • After installation, pull a model: ollama pull mistral (or your preferred model)
  • Ollama will run as a service on http://localhost:11434

Installation & Running Locally

  1. Clone the repository
  1. Ensure Ollama is running:

``bash ollama serve `` (Keep this running in a separate terminal)

  1. Start the application with Docker Compose:

``bash docker-compose up --build ``

  1. Open your browser and navigate to:

`` http://localhost:8501 ``

Configuration

  • Modify the database by editing src/seed_data.py if needed
  • Configure model selection and parameters in the application UI
  • Data is stored in the data/ directory

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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