"A server for fetching data" matching MCP servers:

A production-style MCP server exposing six business tools (web search, database, CRM, email, calendar, analytics) to AI clients via a secure, authenticated interface, with mock mode and a reference agent client.

Enables AI clients to securely interact with Salesforce data using natural language, translating prompts into structured queries for analysis, reporting, and business insights.

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

Mock MCP server for validating Constructoo Copilot data access, exposing read-only tools like counting customer properties, retrieving project status, and fetching appointments.

Freento MCP is a native Magento 2 extension that implements the Model Context Protocol (MCP) — an open standard for connecting AI assistants to external data sources. This server acts as a secure, direct bridge between your Adobe Commerce / Magento 2 store and LLM-powered assistants (like Claude, ChatGPT, and others), allowing you to manage and audit your store using natural language.

Enables AI clients to securely access and query Zoho CRM data using natural-language prompts, returning structured results for analysis and reporting. It supports sales pipeline tracking, lead analysis, team performance reporting, and other CRM use cases through self-hosted deployment.

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

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

Model Context Protocol server for Kylas CRM lead operations, enabling lead creation, search/filter, and lookup of users, products, and pipelines.

MCP server for Apollo.io B2B data discovery and enrichment, enabling company search, people search, contact enrichment, and organization firmographics through Apollo's REST API.

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.

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

MCP server for MisarReach that enables finding, enriching, and scoring leads, running multi-channel outreach (WhatsApp, SMS, push) with AI autopilot, and managing the sales pipeline across 27 tools, 5 prompts, 4 resources, and 4 agent skills.

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.

Enables AI agents to verify email addresses with catch-all detection, search existing contacts by company domain, and, when no API key is present, provision a human-approved subscription and retrieve the key after payment.

MCP server exposing Baatjie Group's tanOS property OS and sigscheCore signal scheduler through generic CRUD and workflow tools, featuring audit logging, PII redaction, and dependency-aware action planning.

Read-only MCP server for querying Creatio support cases and related entities via OData API, with entity allowlist and row limits for safe access.

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.

Connects Salesforce CRM with Claude, enabling CRUD operations, SOQL/SOSL queries, metadata extraction, and sandbox management through natural language.

Enables AI assistants to identify and quantify value leaks in organizations using Melt's methodology, providing structured estimates instead of generic vendor lists.