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Localdata MCP

Unclaimed

by ChrisGVE

MCP server giving LLM agents access to databases, files, graphs, and a full data science toolkit — 52 tools across 13 database types and 20+ file formats

Install

$localdata-mcp

Set up this server

This server needs project-specific setup. Follow the project instructions; no reusable public launch command is available yet.

Project instructions
ai-toolsclaude-codeclaude-desktopdata-analyticsfastmcpmcpmcp-servermodel-context-protocolpythonmongodb

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40 of 40 tools

Documented tools (40)

From project documentation. A server handshake does not verify each tool’s description or behavior.

analyze_anova

Statistical Analysis

analyze_clusters

Pattern Recognition

analyze_effect_sizes

Statistical Analysis

analyze_hypothesis_test

Statistical Analysis

analyze_query_preview

Estimate query cost before execution

analyze_regression

Regression and Modeling

analyze_time_series

Time Series

cancel_query_operation

Cancel a running or buffered query

check_compatibility

Verify API backward compatibility

clear_streaming_buffer

Free memory from a specific buffer

connect_database

Open a connection to any supported database or file

describe_database

Show schema and table list

describe_table

Column types, indexes, row count

detect_anomalies

Pattern Recognition

disconnect_database

Close a connection

evaluate_model_performance

Regression and Modeling

execute_query

Run SQL with streaming, chunking, and preflight mode

export_graph

Export as DOT, GML, GraphML, Mermaid, or Markdown

export_schema

Export schema as JSON Schema, Python dataclasses, TypeScript interfaces, or SQL DDL

export_structured

Export as TOML, JSON, YAML, or Markdown

find_path

Shortest path or all paths between two nodes

find_table

Locate a table across all active connections

forecast_time_series

Time Series

get_data_quality_report

Column statistics, null rates, and quality metrics

get_error_log

Recent error log

get_graph_stats

Node/edge counts, density, DAG validation

get_metrics

Prometheus metrics text. Registered only when metrics collection is enabled, which is the default

get_query_log

Recent query execution history

get_query_metadata

Rich metadata for a completed query

get_streaming_status

Check active streams and buffer usage

list_databases

List active connections

list_keys

List key-value pairs at a node

manage_memory_bounds

View and configure memory limits

move_node

Relocate a node within the tree

next_chunk

Retrieve the next chunk of a streamed result

reduce_dimensions

Pattern Recognition

request_data_chunk

Fetch a specific chunk by row range

request_multiple_chunks

Batch-fetch multiple chunks in one call

search_data

Regex search across query results

transform_data

Apply column transformations to result sets

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about Localdata MCP Server

How do I connect Localdata MCP Server to Claude?
The listing records `localdata-mcp` as its setup step. Run it, then follow the repository's instructions for the client configuration; the listing names Claude Code as compatible clients.
Is Localdata MCP Server free?
The listed licence is Apache-2.0. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can Localdata MCP Server do?
Localdata MCP Server documents 40 tools to the agent, including analyze_anova, analyze_clusters, analyze_effect_sizes. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.