"A server for managing data access, creation, and modification in BoondManager CRM" matching MCP servers:

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.

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.

Connects Twenty CRM with AI assistants like Claude, enabling natural language interactions with customer data. Supports CRUD operations for people, companies, tasks, notes, and advanced search.

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.

An MCP server that gives LLMs tools to manage leads, track pipeline stages, log interactions, and generate reports for a freelancer client pipeline.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Provides live Zoho CRM data access via MCP tools, enabling queries on modules, records, fields, and related lists without syncing data.

MCP server for Atomic CRM that enables agents to read and write CRM data via SQL queries, with OAuth authentication and Row Level Security enforced.

A read-only MCP server providing structured access to CRM data (companies, contacts, deals, activities) backed by SQLite. It enables LLMs to search contacts and deals, view full company accounts, find stale deals, and get pipeline summaries.

An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

Exposes Zoho CRM v6 REST API as structured tools for LLM agents via MCP, enabling CRUD operations, search, COQL queries, and more.

This read-only MCP Server allows you to connect to Access data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Access (https://www.cdata.com/drivers/access/download/mcp).

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

A reference MCP server demonstrating safe agent access to multi-tenant CRM data with tenant isolation enforced in the data layer, role-based permissions, and human confirmation on writes.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Enables AI agents to securely read and write data to an Atomic CRM instance via SQL queries. It features OAuth 2.1 authentication through Supabase and automatically enforces Row Level Security to protect user data.

Enables chat-based interaction with PostgreSQL databases, supporting table listing, queries, write operations, and saved parameterized queries, deployable as a remote MCP server via Cloudflare Workers.

The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.