"Guide to Using LangChain Correctly" matching MCP servers:

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

MCP server that enables Google ADK agents to triage solar fault signals, retrieve Salesforce diagnostics via hosted MCP prompt templates, and create WorkOrder records when replacements are needed.

Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.

A guide and template for setting up an MCP server with Python and Node.js, integrating with Claude, and extending for Zoho CRM conversational AI.

Enables AI tools to search and enrich B2B leads, including finding professional emails, company profiles, and filtering people and companies by various criteria.

Enables AI assistants to discover and invoke Vremly API operations through a search-describe-request pattern, allowing them to view and manage shoots, customers, media, and invoices according to API key permissions.

Enables AI agents to perform go-to-market workflows such as company and contact enrichment, CRM querying, and controlled, audited writes to a CRM through MCP tools callable from any MCP client.

Enables AI agents to read and manage Copper CRM data, including searching people, companies, and opportunities, listing pipelines, and logging activities or creating tasks.

Free, open-source MCP server and CLI for the BaseLinker API, exposing two tools to call any API method and list methods with minimal context cost.

Connects your LinkedIn professional profile to AI assistants (Claude, GitHub Copilot) via LinkedIn's official Member Data Portability API, enabling read-only access to résumé data, activity, and recent changes.

AI-powered lead qualification engine. Ingest leads from any source, auto-enrich with company data, score 0-100 using weighted AI rules, and export to HubSpot, Pipedrive, Google Sheets, CSV, or JSON. 8 MCP tools + 3 resources.

Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.

An MCP server for accelerator programs to query, review, and manage startup applications via natural language. It enables searching applications by sector or impact score, fetching full application details with reviewer notes, listing pending reviews, and flagging applications for panel discussion.

Enables AI assistants to identify and quantify value leaks in organizations using Melt's methodology, providing structured estimates instead of generic vendor lists.

Enables AI agents to manage a fictional B2B workspace SaaS (Tessera) with tools for ticketing, invoicing, customer management, and trial extensions, featuring a human-in-the-loop confirm pattern for safety.

Build custom CRMs and Customer Hubs as code you own. Eleven skills take a business goal to checked-in source: modules that generate their own migration, service, REST resource and Admin screens; deterministic workflows; versioned policies; audit and trace. The approval boundary is a merged test, not a prompt instruction.

Enables policy-aware access to the Productive.io API v2 for managing projects, tasks, time tracking, resource planning, financials, CRM, and reports, with safe defaults and staged writes for sensitive operations.

MCP server for the Nimbus helpdesk that enables an AI assistant to manage support tickets, search cases, escalate issues, send responses, and track SLA compliance.