MCP Catalog
Browse 287 Model Context Protocol servers · GoClear
+9 more
Dynamic API tool generator for OpenAPI, GraphQL, and AsyncAPI specifications
Phone-first local dev MCP for Claude Code and Codex: install Yaver, pair mobile, run, build, deploy.
BoardGameGeek MCP server providing access to BGG API data through standardized tools
Go code coverage analysis tool with MCP server for AI-powered coverage workflows
Browser automation MCP server with 84 tools. Pure CDP, DOM diffing, vision hybrid.
Encoding-aware, indentation-smart file tools for AI coding agents with SSH, SFTP, and 20+ tools.
Kubernetes MCP server with RBAC-style, context-scoped guardrails for AI agents.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
Persistent, consensus-validated institutional memory for AI agents. Runs locally.
An MCP FHIR server written in Go for EMR systems like Epic and Cerner
Local-first MCP server: semantic search over library docs. No cloud, no API key, no telemetry.
Cited 'why was this decided?' answers for your repo and for React, Kubernetes, and Rust.
Cross-platform MCP server for managing long-lived background processes from any MCP client
SSH & Kubernetes access broker for AI agents; the model never touches a credential.
Codebase understanding for AI coding agents — symbol graph, blast radius, semantic search.
A Model Context Protocol (MCP) server for container runtimes (Podman and Docker)
Open-source data catalog. Search assets, explore lineage, and find ownership.
Lightweight DMARC parser: auto-fetch email reports, visualize compliance in a single all-in-one app
Create, update, complete nodes, search & replace with regex and dry run, usage reports, transforms
Email management via JMAP — mailboxes, messages, identities, and Sieve scripts
Task management system for AI assistants with MCP protocol, templates, and bilingual support (TR/EN)
Neo4j MCP Canary — The canary goes first so the rest of us know what's coming
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.