"Understanding Git commands: pull, push, commit, and merge" matching MCP servers:

MCP server for git-perf, a Git performance/review ledger. Enables agents to record and query performance review data via REST and MCP, with a web interface.

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

Enables LLM clients to analyze and interact with Power BI (.pbix) files, providing access to data models, DAX measures, Power Query code, table relationships, and data contents through natural language.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.

Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.

An MCP server that exposes Akahu (New Zealand open-banking) data to LLM agents, allowing them to list bank accounts, inspect investment holdings, and pull transactions for analysis.

Enables MCP clients to analyze contact exports, identify duplicate people with evidence-based matching, merge them into a cleaned CSV, and report every conflicting value.

MCP server for Speckle that enables AI-powered AEC interoperability, letting users manage Speckle projects, models, and versions through natural language, with guidance for data push/pull via native connectors.

Enables LLMs and developers to inspect, validate, and merge Transit Operational Data Standard feeds with GTFS supplements, query crew runs, vehicle block assignments, and deadheads, and run these operations via MCP or CLI.

Ripplecheck is a counterfactual schema migration compiler powered by the DataHub MCP Server. Paste breaking warehouse DDL and it projects the metadata graph, proves a bounded release policy, routes an executable migration DAG to owners, writes a hash-sealed decision capsule back to DataHub, and generates a merge-ready PR evidence pack.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

A Model Context Protocol server implementation that enables AI assistants to interact with Apollo.io data, performing operations like people/organization enrichment, searching, and retrieving job postings through natural language commands.

Enables AI assistants to perform MLOps workflows such as experiment tracking, model registry, dataset management, pipeline orchestration, and data lineage by wrapping DVC, MLflow, and Git.

Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.

Model Context Protocol server for wDVC that provides tools for architecting DVC pipelines, generating Docker worker commands, searching patterns, and scaffolding wDVC projects.

An MCP server that enables real-time data streaming for AI agents, with persistent connections to live feeds, reactive operator pipelines, and consumption via push, pull, or block modes.