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Localdata MCP

未认领

作者: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

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

安装

$localdata-mcp

此服务器需要专门配置。目前没有可复用的公开启动命令,请遵循项目说明。

项目说明

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此列表根据公开信息自动生成。认领后,你可以编辑页面、设置兼容性并解锁增长工具。全程不超两分钟。

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安全概况

已认领和已认证的服务器每周接受一次静态扫描,显示代码能触及的范围(外部服务、环境变量、shell 命令、代理配置目录)以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理

40 个工具中显示 40 个

文档中列出的工具 (40)

内容来自项目文档。服务器握手不会验证每个工具的说明或行为。

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

工具变更历史

比较相同配置的完整检查。只列出工具,未调用工具。此处不测量输入结构的变化。

尚无完整工具检查。