"A CRM platform for managing customer relationships" matching MCP servers:

MCP server for managing and composing customer replies for a phone and computer repair shop, with built-in templates and WhatsApp link generation. Supports Arabic and English.

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.

Enables Ozon marketplace customer-side operations including product search, detailed product cards, reviews, seller comparisons, and delivery city selection via MCP.

Enables Claude to manage customers and support tickets through database-backed CRUD tools, contextual customer and knowledge resources, and a reusable ticket-triage prompt.

A production-ready MCP server for Customer Relationship Management (CRM) that uses TypeScript and SQLite to manage contacts, interaction history, and action items. It features a suite of 18 tools for full CRUD operations, data searching, and CSV exports with robust database management capabilities.

Enables MCP clients to access a CRM over stdio, with Microsoft Entra device-code sign-in so queries run as the signed-in user, and tools to start/check login and search CRM accounts.

Enables AI agents to manage CRM data including companies, contacts, prospects, pipelines, forecasts, and tasks via typed MCP tools, with local SQLite storage and a JSON CLI.

Enables Claude to read local CRM records, capture notes, and propose updates through MCP while keeping human approval in the dashboard or CLI. It supports querying relationships, follow-ups, tickets, and qualification data backed by SQLite.

Enables AI agents to manage a simple SQLite lead CRM by creating leads, listing and filtering them by status, updating status values, viewing per-status statistics, and using a daily report prompt.

An MCP-native CRM backend for AI agents, enabling customer, opportunity, note, follow-up, and pipeline health management through 15 MCP tools.

Provides MCP tools for retrieving customer records and processing refunds, with strict input validation, proper JSON-RPC error mapping, and enforced stdout protocol isolation.

Enables querying customers by name with a React UI for pagination, details, external company search, and safe customer creation after explicit confirmation.

A local-first CRM that exposes customer and project management tools via the Model Context Protocol (MCP), including an analytics server. It integrates seamlessly with Claude Code or a custom LlamaIndex ReAct agent.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

MCP server wrapping a mock internal ops platform (FastAPI + SQLite) so Claude Code can read and write employee, project, task, and time data through natural language.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Enables querying DNS Shop product data via MCP: search, product details, reviews, specifications, variants, categories, brand catalogs, availability by city, and store listings.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables clients to retrieve customer records by ID and issue refunds to active customers over stdio, with strict schema validation and JSON-RPC error mapping.

Analyzes codebases for cross-platform compatibility issues, detecting platform-specific APIs, file path problems, line ending inconsistencies, and shell command incompatibilities across Windows, macOS, and Linux.

Enables AI assistants to search, de-duplicate and route leads in a demo CRM, with read-only mode and an audit log for accountability.

Enables lifecycle and CRM teams to plan journeys and campaign builds for Braze, Klaviyo, and Iterable, preview what changes will break, check every message across channels, and report post-launch impact through read-only access.

Enables IDE plugins to authenticate and communicate with the YAAIF platform via MCP, bridging Cursor, VS Code, IntelliJ, Claude Code, Codex, and OpenCode.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

Exposes CRM truthfulness evaluation tasks so agents can list and retrieve scenarios, score submitted answers against consent and claim-ledger rules, run benchmarks, and fetch dataset provenance. Enables programmatic auditing of whether a sales agent claims only what its evidence supports.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

An MCP server that allows agents to perform CRM segment and campaign queries, with a governance kernel controlling write operations for safety.

Enables AI assistants to manage an outreach CRM via SQLite, including importing contacts from Apollo/Crunchbase, fuzzy matching, seniority ranking, drafting and scoring emails, and tracking sends/replies through pluggable email providers.

Enables running a local multi-agent pipeline that turns a product idea into a validated technical spec, with tools to generate, deterministically check, LLM-review, and retrieve stored runs.