"Finding people on LinkedIn using their names" matching MCP servers:

Enables governed interaction with synthetic people data through MCP tools, providing per-caller scoped access, semantic-layer metrics, and read-only SQL with authorization checks.

Exposes nine governed analytics tools — attrition, headcount, tenure, salary, promotion, and more — plus a restricted read-only SQL execution path, so an HR analyst's plain-English question resolves to a versioned, reproducible method instead of free-form LLM-written SQL. Tool selection is driven by the LLM, while role-based access control, PII screening, SQL guards, result validation, and audit logging keep every answer within policy.

An MCP server that provides access to the LinkedIn Bulk Data Scraper API and various utility tools for data extraction and processing.

Analyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.

Answers whether a route ran late and by how much, with drill-down into individual trip delays and an audit trail of data-quality exclusions and duplicate resolutions.

Classifies job titles into department and seniority using deterministic rules, and optionally verifies if a person is listed on their employer's website via the Mamba Labs Contact Classifier Apify actor.

Runs all GTM signal tools in a single call and returns a unified company intelligence report combining hiring, tech stack, LinkedIn, and job board data.

GTM signal intelligence suite for AI agents. Six tools: hiring signals, tech stack detection, company-to-LinkedIn resolution, ICP scoring, job board scanning, and a combined signals aggregator. Built for outbound sales workflows.

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 LLMs to inspect schemas and execute SQL queries on Peaka projects using Peaka's text2SQL capabilities.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Resolves messy company, customer, and vendor names across CRM, ERP, and ITSM systems to canonical records using fuzzy matching, preventing AI agents from updating or creating wrong or duplicate records.

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.

MCP Server for executing XPath queries on XML content

A Model Context Protocol server that provides tools to fetch weather alerts for US states and forecasts based on latitude/longitude coordinates using the US National Weather Service API.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

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.

Provides Material Requirements Planning (MRP) tools for calculating delivery schedules, determining order needs, and performing MRP period calculations based on inventory levels, forecasts, and order constraints.

An MCP server that integrates Verodat's data management capabilities with AI systems like Claude Desktop, enabling users to manage accounts, workspaces, and datasets, as well as perform AI-powered queries on their data.

Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.