"Understanding Code Relationships and Dependencies" matching MCP servers:

Enables natural language interactions with Salesforce data and metadata, allowing users to query, modify, and manage Salesforce objects and records.

Enables AI clients to discover and invoke Salesforce business capabilities (e.g., customer lookup, account creation) through MCP tools, keeping business logic in Apex while exposing it via REST, Agentforce, and OpenAPI.

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

Enables AI agents to manage spa/wellness operations via Zenoti API, including appointments, guests, services, and billing.

Enables AI agents to manage a fully customizable CRM, including contacts, companies, sales pipelines, custom objects and fields, file uploads, and data relationships via MCP over HTTP.

Enables operators to manage support desk operations, including case queues, customer relationships, and communications, through an agent-first MCP interface with exact lifecycle and authorization controls.

Enables read-only interaction with Salesforce orgs through the local sf CLI, providing tools for SOQL queries, object metadata, and field dependencies, while automatically blocking writes to Production orgs.

Enables AI agents to securely access and manage CRM pipeline, relationships, tasks, notes, files, and deal context through authenticated Streamable HTTP/OAuth, inheriting the signed-in user's permissions and business-unit isolation.

A local-first contact management MCP server with SQLite storage and Google Contacts sync, enabling AI agents to upsert, search, log interactions, and surface follow-ups for relationships.

Turns Google Calendar history into a searchable people CRM, enabling queries about meeting patterns, relationships, and contacts through natural language with any MCP client.

A minimal local HTTP MCP mock server for development and testing, providing predictable tool responses with OAuth token support and zero dependencies.

Enables AI assistants like Claude to read and write contacts, relationships, and interactions in a personal CRM via a graph-based API.

Enables AI agents to read MoyKlass CRM data through natural language, providing 16 tools for accessing users, groups, lessons, tasks, and more.

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

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.

amoCRM / Kommo CRM for AI agents: leads, contacts, tasks and notes, plus sales analytics - pipeline report with win rate and manager leaderboard, stale deals and overdue tasks.

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

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.