"How to Test Kubernetes Network Policies" matching MCP servers:

An MCP server that provides OIDC-protected access to QA MGT OpenAPI data, enabling tools for trainees, orders, products, customers, and recruitment operations.

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

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 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.

Build custom CRMs and Customer Hubs as code you own. Eleven skills take a business goal to checked-in source: modules that generate their own migration, service, REST resource and Admin screens; deterministic workflows; versioned policies; audit and trace. The approval boundary is a merged test, not a prompt instruction.

MCP server for Vertafore AMS360 WSAPI v3 that enables querying clients, policies, renewals, and activities through natural language.

Exposes Salesforce development tools (scan, lint, test, deploy, verify) to AI assistants via the Model Context Protocol, enabling programmatic interaction with Salesforce projects.

Connects to Salesforce scratch orgs and allows AI to generate and insert realistic nested test records via natural language descriptions using the Composite Tree REST API.

Demonstrates how to expose approved internal banking tools to AI assistants via MCP, enabling secure lookups of account balances, customer names, branch details, and live exchange rate conversions.

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

Enables AI assistants to discover and invoke Vremly API operations through a search-describe-request pattern, allowing them to view and manage shoots, customers, media, and invoices according to API key permissions.

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.

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.

Connects your LinkedIn professional profile to AI assistants (Claude, GitHub Copilot) via LinkedIn's official Member Data Portability API, enabling read-only access to résumé data, activity, and recent changes.

AI-powered lead qualification engine. Ingest leads from any source, auto-enrich with company data, score 0-100 using weighted AI rules, and export to HubSpot, Pipedrive, Google Sheets, CSV, or JSON. 8 MCP tools + 3 resources.

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.

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

Enables AI agents to manage a fictional B2B workspace SaaS (Tessera) with tools for ticketing, invoicing, customer management, and trial extensions, featuring a human-in-the-loop confirm pattern for safety.