"How to get leads for business or sales" matching MCP servers:

Collection of B2B sales intelligence MCP servers. Includes website analysis, tech stack detection, hiring signals, review aggregation, ad tracking, social profiles, financial reporting and more for AI-powered prospecting

Sozio Business is a standalone local MCP server for combining private company data with 22,635 profiled Swiss open-data resources.

Provides access to 200 compressed business career profiles across strategy, finance, operations, marketing, and sales via MCP tools for listing, searching, and retrieving career data.

Provides Claude Desktop and other MCP-compatible clients with read-only access to a PostgreSQL sales database, enabling SQL queries, schema inspection, and anomaly detection.

Enables the creation and management of business design artifacts including Business Model Canvases, SWOT analyses, and user personas. It features project organization and AI-powered research tools to automatically populate frameworks with market data.

Lists, reads, and fetches curated business and industry RSS feeds, with filtering by category and keyword.

Provides login-gated access to FindData's crawled business data, enabling users to read indicators over time, list concepts, search via natural language, and run graph queries.

Provides free, zero-marginal-cost MCP tools for structured small business teardown, competitor analysis, review intelligence, and market opportunity scanning, returning research methodology for AI models to execute.

Enables AI assistants to automate sales prospecting by finding contacts by role and industry, enriching data with emails and tech stacks, scoring against ideal customer profiles, and generating personalized outreach sequences. Streamlines lead generation and sales engagement workflows through integrated research and sequence generation tools.

Open-source stdio bridge to Crawdar’s hosted business research MCP server. Nine tools provide evidence-backed company research, resumable lead searches, and a no-key fictional sandbox; the crawler backend is hosted, not self-hosted.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.

Analyzes sales CSV data to filter records, compute KPIs, and generate AI-powered insights and recommendations using OpenAI.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Provides real-time business event intelligence and AI-scored sales leads to help users track funding rounds, acquisitions, and executive hires. It enables AI agents to generate strategic market briefs and manage company watchlists for predictive business insights.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.