"Finding the Top 10 Most Frequently Pulled Packages from Nexus Repository" matching MCP servers:

Enables AI agents to interact with over 50 SQL and NoSQL databases through MCP tools for querying, schema inspection, and table management.

Exposes a governed dbt MetricFlow semantic layer to AI agents through three tools — list metrics, list dimensions and query metrics — so questions about federal contract spend are answered from defined metrics rather than raw tables. Guardrails reject undefined metrics, raw columns, SQL in filters and bulk exports, and no tool can execute SQL.

Enables Claude to diagnose and fix Azure Data Factory pipeline failures with automated rollback.

Enables AI agents to discover and query data federated across MySQL/MariaDB, PostgreSQL, ClickHouse, S3 and Kafka with SQL, exposing tools to list databases, schemas, tables and connections, describe columns, search objects, inspect table statistics, run EXPLAIN, and execute arbitrary statements. It runs locally over stdio against a PostgreSQL-wire endpoint and returns structured results or SQLSTATE-coded errors.

MCP server that archives Decent DE1 espresso shots from Visualizer.coffee into SQLite and provides analysis tools for shots, beans, and profiles via MCP.

Enables AI agents to inspect schemas, walk Delta table history, run read-only DuckDB queries, and check data-quality and job-run status safely.

Enables AI agents to inspect, query, test, and safely fix dbt projects and BigQuery warehouses under policy-enforced controls, with read-only direct queries and dbt-only allowlisted writes.

Enables conversion between PDF/Office documents and structured JSON, supporting extraction and generation of document content.

Bridges Microsoft Clarity's analytics API with Claude, enabling custom date ranges and page-level filtering on top of Clarity's native limitations.

Enables AI tools to normalize messy payroll spreadsheets (xlsx/xls/csv) into a standardized 10-column template for social insurance calculation, with automatic column detection, net-to-gross conversion, and cross-entity/month merging.

Local-first data quality validation for Excel/CSV: schema-aware checks with 10 zero-code constraint types (uniqueness, ranges, foreign keys and more) and row-level error reports.

Enables finding and verifying work emails for contacts through a waterfall of provider keys, with per-provider cost attribution and verification after each finder.

Enables collection of patent-related information from PatSnap's API for trend analysis and reporting, providing tools for patent trends, word clouds, innovation wheels, and identification of top inventors, assignees, and litigated patents.

Production Model Context Protocol (MCP) server for business — replaces stale generic descriptions with concrete 2026 technical intelligence and data agents. Exposes dynamic KPI analytics, forecasting, anomaly detection, and schema resources across 10 enterprise domains via FastMCP over stdio and SSE transports.

Connects AI assistants to the Riveter API so users can run data enrichments, build datasets, scrape webpages, and manage monitors directly from Claude, ChatGPT, or Cursor.

An MCP server that analyzes cross-chain activity on the Wormhole protocol, providing insights into transaction volumes, top assets, source-destination chain pairs, and key performance indicators (KPIs).

Enables validating CSV structure, checking simple schemas, converting between CSV and JSON, sampling rows, and finding duplicate keys on local files. All processing stays local, so no user data is ever uploaded.

Read-only MCP server that exposes the Automic Registry Platform API, letting users query issuers, securities, daily prices, top holders, and distributions, and run asynchronous registration, transaction, and fund cash flow reports. Report and payment list outputs are saved to a local directory with restricted permissions, with small results returned inline.

Enables AI assistants to query and analyze user behavior data from the Sensors Analytics platform using natural language.

A Model Context Protocol server that allows interaction with the RubyGems.org API to fetch metadata about Ruby packages, search gems, and explore dependencies and ownership information.

A server that interfaces with the Mixpanel API, allowing users to query events data, retention, and funnels through natural language from any MCP client like Cursor or Claude Desktop.

Enables querying and managing SAP Cloud Platform Integration resources such as packages, integration flows, message processing logs, security material, and artifact lifecycle through the CPI OData v2 API.

Local-first Taiwan market evidence workbench for AI agents with persistent Watchlists, governed MCP, auditable evidence, and explicit execute-once retrieval. GitHub Repository URL

AI-native service orchestration platform. Discover MCP services by capability, chain multi-service-workflows at runtime, and authenticate per-user via JWKS/External OAuth. A single pAIchart MCP server needs only 10 tools to access hundreds of registered local or network MCP servers solving the context issue individual MCP server tools impose. Enabled by pAIchart's service_call innovation.

Enables AI agents to administer, inspect, and troubleshoot BI Platform 4.3 SP5 through REST Web Services, including Web Intelligence documents, universes, CMS security, schedules, and repository hierarchy.

An MCP server that enables Claude to train a linear regression model by simply uploading a CSV file, handling the entire ML pipeline from data preprocessing to model evaluation.

MCP server that interfaces with the Adjust API, allowing you to query mobile analytics reports, metrics, and performance data using natural language from any MCP client like Cursor or Claude Desktop.

Connects AI assistants to 500+ financial data tools from 40+ providers via the Model Context Protocol, enabling natural language queries for financial data.

Enables AI tools to query sports tournaments, leaderboards, predictions, and match stats from the Tulidu Sport platform.

Enables AI agents and MCP clients to search the Scrape.ly Store for Actors, read their README and input schema, run them, follow runs, and read results from datasets, key-value stores and logs. It also supports managing saved tasks and searching the Scrape.ly and Crawlee documentation.