Generect
by generect
Generect — B2B lead generation platform with real-time contact discovery and validation. Find verified leads faster and
What it does
Provides access to B2B lead generation tools for finding companies and contact information through the Generect Live API.
About
Generect is an official MCP server published by generect that provides AI assistants with tools and capabilities via the Model Context Protocol. Generect — B2B lead generation platform with real-time contact discovery and validation. Find verified leads faster and It is categorized under developer tools, analytics data.
How to install
You can install Generect in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
License
MIT
Generect is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Generect — B2B lead generation platform with real-time contact discovery and validation. Find verified leads faster and
TL;DR: Provides access to B2B lead generation tools for finding companies and contact information through the Generect Live API.
What it does
- Search for B2B leads by ICP filters
- Find companies matching specific criteria
- Generate email addresses from names and domains
- Extract lead data from LinkedIn profile URLs
- Validate contact information in real-time
Best for
- Sales teams building prospect lists
- Marketing professionals doing lead research
- Business development outreach campaigns
- CRM data enrichment workflows
Highlights
- Remote server option — no local setup needed
- Real-time contact validation
- LinkedIn profile integration
Frequently Asked Questions
- What is the Generect MCP server?
- Generect is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Generect?
- This profile displays 54 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Discussion
Comments — not star reviews- No comments yet — start the thread.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.5★★★★★54 reviews- ★★★★★Chinedu Jackson· Dec 24, 2024
According to our notes, Generect benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Evelyn Ramirez· Dec 20, 2024
Useful MCP listing: Generect is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Shikha Mishra· Dec 8, 2024
Generect is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Chinedu Garcia· Dec 8, 2024
Strong directory entry: Generect surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Rahul Santra· Nov 27, 2024
Generect is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Jin Ghosh· Nov 27, 2024
We wired Generect into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Sakshi Patil· Nov 19, 2024
We evaluated Generect against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aanya Garcia· Nov 15, 2024
Generect has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Mei Li· Nov 11, 2024
Generect reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Pratham Ware· Oct 18, 2024
Generect has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
showing 1-10 of 54