"How to implement Active Directory authentication in a project" matching MCP servers:

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

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

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

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.

Connects Claude to Jobber to manage clients, jobs, invoices, quotes, and scheduling through natural language.

Enables AI assistants to manage CRM deals and tasks on Aspro Cloud, including CRUD operations on deals, tasks, users, pipelines, and workflows.

Enables AI assistants to manage Bitrix24 CRM entities, tasks, project kanban boards, and Scrum sprints through an incoming webhook, requiring explicit user confirmation for all write operations.

Provides read-only access to the Planning Center People API, enabling natural language queries for people, households, background checks, and lists.

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 read-only access to InvoiceNinja data, including invoices, expenses, clients, and tax reports, for AI assistants like Claude.

Enables managing a local supplier directory with contacts, payment terms, lead times, and review stamps, including adding, updating, searching, exporting, and tracking stale records.

An AI-first business and project management tool that stores data locally in Markdown and JSON files, exposed via the Model Context Protocol (MCP). Enables project, issue, client, contact, and note management through natural language.

Enables AI hosts like Claude, ChatGPT, Cursor, Codex, and Copilot to connect to DealDesk for working with cards, quotes, CPQ portfolio, directory, and export.

Give your AI the full context of how your business runs: CRM, finances, tasks, and memory in one self-hosted MCP server." Short + long descriptions lead with cross-domain reasoning ("which customers are behind on payment and what did we last promise them" reads the ledger and CRM in one answer) and self-hosted data ownership (your own Supabase, stdio, MIT).

A remote MCP server for Zammad, enabling ticket management, search, and OAuth authentication.

Finds active podcasts covering a given topic for guest booking or sponsorship, returning each show's published contact route, evidence episodes, and your prior outreach history so you don't pitch the same show twice.

Enables AI assistants to read a service business's client portal data — clients, projects, tasks, and invoices — for one organization via OAuth sign-in. All six tools are read-only, so assistants can answer questions about overdue invoices, project status, and outstanding balances without changing anything.

Enables personal trainers to query and summarize client management data—active clients, workouts, physical assessments, retention, check-ins, feedback, and finances—through MCP-compatible AI clients in read-only mode.

A localhost server that enables Claude to administer a firm's TimeLog account via the TimeLog REST API, allowing natural language project management and resource planning.

Enables AI models to interactively explore, analyze, and manage Salesforce organizations through OAuth2 authentication and standardized tools.

Enables Claude to check for duplicate freelance project postings across agencies and manage application status, contacts, and history stored in PostgreSQL.

Enables AI assistants to interact with HubSpot CRM data, including creating contacts and companies, retrieving active records and recent conversations, and performing semantic search over previously retrieved HubSpot data through built-in vector storage and caching.

Enables AI assistants to interact with HubSpot CRM data for creating contacts and companies, retrieving company activity, active contacts and companies, recent conversations, and performing semantic search across previously retrieved data with built-in vector storage and caching.

Transforms job postings into qualified sales leads by searching for active jobs, enriching company data, and identifying decision-maker contact information.

Enables AI assistants to interact with HubSpot CRM data, creating contacts and companies with duplicate prevention, retrieving company activity, active contacts and companies, and recent conversation threads. Built-in FAISS vector storage, thread-level indexing, and embedding caching provide semantic search over previously retrieved data to overcome HubSpot API limits and improve response times.

Enables AI assistants to read and write HubSpot CRM data, including creating contacts and companies with duplicate prevention, retrieving active records, company activity, and recent conversations. Built-in vector storage and caching add semantic search across previously retrieved data while working around HubSpot API limitations.

Enables AI assistants to interact directly with HubSpot CRM data, creating contacts and companies, retrieving company activity, active contacts/companies, and recent conversation threads, and running semantic searches over previously retrieved data. Built-in vector storage and caching overcome HubSpot API limitations while improving response times.

Demonstrates how to expose approved internal banking tools to AI assistants via MCP, enabling secure lookups of account balances, customer names, branch details, and live exchange rate conversions.

Enables AI agents to safely operate HubSpot CRM contacts, deals, and pipelines via MCP, with caching, idempotency, audit trails, and robust error handling.

Fetch fresh leads and verify emails in one MCP server

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

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 checking lead rows, CSV files, or Apify datasets for duplicates, email syntax and risk signals, domain issues, missing fields, and stale dates, returning a per-row import, review, or reject verdict so only clean records reach a CRM or sequencer.

Real-time LinkedIn, X (Twitter) and Reddit data for AI agents: profiles, companies, people search, tweets, subreddits, and search. Free start: self-mint a key in one call, no signup, no card.

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 checking CRM contacts to learn their current employer, title, start month, role history, and whether they left, landed elsewhere, or were promoted, returning one flat row per person with match method, source, and source age. It accepts single contacts or bulk lists, works with your own search, enrichment, and email-verification keys, and runs on Apify.

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.

Find prospects, verify their emails, spot buying signals, draft grounded outreach and stage campaigns, all from a conversation with your AI assistant, using your own API keys.

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.