"Connecting to a custom platform and performing API actions" matching MCP servers:

MCP gateway for GREEN-API WhatsApp that lets AI agents send messages, manage instances, and receive notifications via WhatsApp using the Model Context Protocol.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Enables AI agents to explore and, when writes are enabled, modify a Langfuse deployment — traces, observations, sessions, prompts, datasets, scores, metrics and more — through the full Langfuse public API. Supports Langfuse Cloud in any region and self-hosted instances, including corporate networks that re-sign TLS traffic with their own certificate authority.

Model Context Protocol (MCP) server for the Royal Spanish Academy (RAE) API. It allows language models to interact with RAE's dictionary and linguistic resources.

A server interface for Bitrise CI/CD platform that enables app management, build operations, artifact management, and release management through natural language interactions.

A Model Context Protocol server for Massdriver that enables AI assistants to manage infrastructure platform resources like projects, environments, deployments, policies, and more. It provides 106 tools and supports stdio or HTTP transports.

MCP server for the BuildPulse Platform API. Lets AI agents surface flaky tests, CI run history, and coverage health.

Official MCP server built into Casdoor, the open-source identity and access management (IAM) and single sign-on (SSO) platform. It exposes Casdoor's users and applications as MCP tools over a JSON-RPC endpoint at /api/mcp, with per-tool authorization driven by OAuth scopes, and can also act as an MCP gateway that proxies and authorizes agent access to upstream MCP servers.

Enables MCP clients to query Abnormal Security for threats, message search, remediation history, ATO cases, vendor/BEC data, and opt-in evidence download and response actions.

A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.

A lightweight, cross-platform MCP server for managing background processes. Enables AI coding agents to spawn, monitor, and interact with long-lived processes.

Enables MCP clients such as Cursor and Claude Desktop to query a GRC platform over stdio or HTTP, with read-only access by default and opt-in create, update, and delete tools subject to platform authorization.

Provides MCP clients typed tools for Apple Ads Platform research, reporting, auditing, and receipt-gated campaign management with a local-first, read-only-by-default safety model.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

MCPJungle is a self-hosted MCP Registry and Gateway suitable for both local and enterprise deployments. It provides a single URL for your MCP clients to access servers and a central platform for you to track your MCPs and client-server interactions.

Enables AI agents to safely observe and troubleshoot Kubernetes workloads, with limited recovery actions like pod deletion and Helm rollbacks, while preventing dangerous modifications.

MCP server that integrates with the BlockSec https://blocksec.com platform to provide blockchain transaction analysis.

A Model Context Protocol (MCP) server that provides programmatic access to DigitalOcean's API. This server exposes tools for managing droplets, Kubernetes clusters, and container registries through the MCP interface.