"Understanding Integration Concepts or Applications" matching MCP servers:

MCP server that lets AI validate and create sales funnels (pipelines, stages, custom fields) in Kommo CRM, supporting multiple client accounts with explicit confirmation before writing.

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.

Unifies CRM and productivity tool APIs behind a single interface, letting AI agents and developers create, update, delete, and list records across Zoho, HubSpot, Odoo, Google Sheets, Gmail, and Google Calendar without handling platform-specific schemas.

Enables AI agents to search Salesforce accounts, query Snowflake analytics, and create Salesforce tasks via MCP invocable actions.

Connects and cleans data from business systems like CRM, billing, and support, then exposes a read-only MCP tool for an AI assistant to generate revenue-risk reports.

Enables AI agents to manage e-commerce operations (products, carts, clients) through WhatsApp via Chatwoot, using MCP tools for inventory, cart, and customer management.

Integrates Lever ATS with Claude Desktop to manage hiring pipelines through natural language, offering tools for candidate search, pipeline management, file and application handling, and advanced sourcing.

Enables integration with Ashby ATS to search candidates, view applications, submit interview feedback, and manage recruiting workflows through natural language.

Enables AI agents to manage job applications, documents, and contacts via the Application Tracker workspace, with read-only or write access controlled by administrator settings.

Resolves any combination of company name, domain, or LinkedIn URL into the canonical company identity (name, domain, LinkedIn URL) with confidence scores and match method.

Scans job boards for keyword patterns that indicate buying intent, technology adoption, or team expansion. Returns structured signal data for outbound targeting.

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

MCP server for the Mamba Labs People Finder & Email Verifier actor on Apify. Give it a company domain, name or LinkedIn URL and it returns the people at that company who match your role, seniority and department filters, each as a structured contact record with an optional verified business email.

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

An MCP server that provides AI agents with ICP Triangulation Framework™ for scoring prospects across firmographics, behaviors, and growth signals, plus RFM analysis and pipeline health scoring, with optional HubSpot integration.

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.

LinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.

Enables AI assistants to enrich contacts and build audiences via the YourICP API. Provides tools to set an API token, submit contact lookups by email or LinkedIn URL, and poll for enrichment results.

Model Context Protocol server for the Apideck Unified API. Connect any MCP-compatible agent framework to 100+ accounting systems, HRIS platforms, file storage providers, and more through one integration. More information https://www.apideck.com/mcp-server

Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.