"Methods to Improve or Enhance a Prompt" matching MCP servers:

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.

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

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

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.

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.

Enables interacting with a legacy customer CRUD REST API through MCP tools, a resource, and a prompt inside VS Code Copilot Chat.

Connects Claude, ChatGPT, or any MCP client to a Five9 cloud contact center, exposing its admin and supervisor SOAP web services as JSON tools for natural-language management of campaigns, agents, DNC lists, call logs, and reports. It also builds complete IVR call flows from plain-English descriptions, validating, rendering, and deploying designer-shaped scripts plus AI-generated prompt audio.

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.

Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, and engagement information, with semantic search over previously retrieved data and built-in caching/vector storage to improve response times.

Enables AI assistants to interact with HubSpot CRM data, including creating contacts and companies, retrieving recent activities and conversations, and performing semantic search over previously retrieved data. It uses built-in vector storage and caching to work around API limitations and improve response times.

Enables AI assistants to interact with HubSpot CRM data through tools for contacts, companies, activity, conversations, and semantic search, with vector storage and caching to improve response times.

Provides Claude agents with CRM contact lookup, action logging, and prompt cost auditing tools. Includes a Streamlit UI to demo the same tools without an MCP client.

Enables AI assistants to interact with HubSpot CRM data by creating and retrieving contacts, companies, activity, and conversations, while supporting semantic search over previously retrieved data. Built-in vector storage and caching help improve performance and work around API limitations.

Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, engagement, conversations, and semantic search over previously retrieved data, with vector storage and caching to overcome API limitations and improve response times.

Enables AI assistants to interact with HubSpot CRM data for contacts, companies, activity, conversations, and semantic search, with built-in vector storage and caching to overcome API limitations and improve response times.

Enables AI agents to interact with LinkedIn through MCP tools for retrieving company profiles, posts, insights, and person profiles, as well as a prompt for account research.