MCP servers that ship as code — a repository or a package you install and run locally (usually over stdio). They have no hosted endpoint, so we cannot probe or grade them: instead each one shows its repository, install command, license, stars and when it was last updated.
Collected from GitHub repositories and npm, PyPI, Cargo, Go, Maven, NuGet and RubyGems packages tagged as MCP servers, the official MCP Registry, Docker's MCP catalog, ModelScope, Baidu MCP World, Cline and other public directories; one entry per repository. A server that also offers a hosted endpoint is listed under Remote instead. These entries are not counted in our reachability, verification or readiness statistics.
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A collection of Model Context Protocol (MCP) servers for chemical engineering and chemistry applications, built on top of the powerful MoziChem framework.
MIT ★ 4 -
Compact coding-agent context without summarizing it away. Verbatim, offline, with a receipt and recall for every cut. CLI, MCP server, Claude Code plugin. MIT.
MIT ★ 20 -
mhn-ai-agent-memorygithub.com/shahzebqazi/mhn-ai-agent-memoryupdated this year
AI agent memory using Modern Hopfield Networks — no LLM calls, no database, one matrix multiply. MCP server for Cursor, Claude Code, and other AI coding agents.
MIT ★ 5 -
MCP server for AI coding agents — persistent engineering memory, knowledge compounding, and spec-driven development workflows. Part of TRW Framework.
NOASSERTION -
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
MIT ★ 214 -
simple-prompt-optimizergithub.com/Chumbayoumba/simple-prompt-optimizerupdated this year
A lightweight, robust MCP server for prompt optimization using OpenRouter and CO-STAR framework.
★ 2 -
Local-first AI writing detector and cleanup engine with REST APIs, CLI, Django/DRF, and native MCP tools.
MIT ★ 2 -
mcp-agentic-sdlcgithub.com/michaelwybraniec/mcp-agentic-sdlcupdated this year
A comprehensive framework for managing software development lifecycle with AI agents, combining structured development processes with intelligent workflow management.
NOASSERTION ★ 10 -
Persistent identity and memory across AI tools - mcp-native, local-first, framework-agnostic, production-ready.
MIT ★ 3 -
opcodegithub.com/rendis/opcodeupdated this year
Zero-token execution layer for AI agents — define workflows once, execute forever. DAG engine with reasoning nodes, event sourcing, scheduling, and secret vault via 6 MCP tools over SSE.
MIT ★ 1 -
mcp-dual-cycle-reasonergithub.com/cyqlelabs/mcp-dual-cycle-reasonerupdated this year
A MCP server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. A loop prevention and experience recall mechanism.
MIT ★ 9 -
Vibe code fast. Ship like an engineer. AI engineering framework packaged as an MCP server that enforces TDD, security scanning, pentesting, secret management, QA audits, and deployment to a securely configured VPS — automated with up to 100× fewer exploration tokens.
MIT ★ 11