MCP

A live demo that shows an AI agent using KINETK’s API/MCP workflow to analyze live social signals and generate an evidence-backed launch and growth plan for a product prompt.

A curated learning roadmap for building production AI agents, covering OpenAI, Anthropic, MCP, harnesses, evals, memory, and safety. The README organizes the material into phases with exercises and a prioritized reading table.

An open-source multi-agent coding framework that uses a commit-bound project graph to scope worker tasks, replay failed runs, and merge accepted diffs through ordered Git reconciliation.

Open-source learning management system release with broad course, assessment, and admin updates, plus mention of a native MCP server in the submitted title.

A pure Rust code-assist engine focused on AST safety checks, multi-agent symbol coordination, taint tracking, incremental parsing, and MCP integration. The repository page includes an overview, performance claims, architecture notes, and configuration references.

Real-time signal engine and MCP server for AI agents, quantitative workflows, and climate risk pipelines. The page highlights native MCP tools, live data ingestion, and a structured wire format aimed at reducing token usage.

A governed MCP server for exposing existing APIs to AI agents with scoped access, verified identity, and per-call audit traces.

Open-source personal AI companion that runs on your own machine, with persistent memory, background tasks, local voice, browser automation, and support for MCP and common personal data sources.

VAIBot is an AI governance product focused on agent security. This page explains its prompt-injection threat model and positions the product as a circuit breaker that gates tool calls and other egress actions before they execute.

Katra is an open-source, self-hosted cognitive memory system for AI agents with MCP support. The repo describes episodic recall, semantic search, knowledge graphs, temporal analysis, and Docker-based deployment for MCP-compatible agents.

An article about using GitHub Agentic Workflows to scale documentation QA with a tiered AI setup, combining deterministic checks with LLM-assisted reviews, centralized workflows, and MCP-backed knowledge.

doola MCP lets users form a U.S. LLC inside AI chat tools like Claude and Replit via MCP, with a conversational flow that covers account setup, package selection, payment, and post-payment formation steps.

A Prompt One blog post about compiled workflow agents, design-time tool selection, and why runtime agents should not choose tools dynamically.

A detailed article about the internal harness Nimbalyst built around Claude Code and Codex, covering context, provenance, capability, workflow, restraint, verification, visual interface, and coordination.

A blog post about an experimental local LLM system where three qwen3.5:9b agents run autonomously, maintain stress states, self-modify capabilities, and coordinate through a shared OS-like layer.

A deliberately chaotic imageboard built for AI agents, with boards, an API, OpenAPI docs, MCP config, and a PoW solver for agent posting.

Tilion is a stealth browser for AI agents, centered on Fortress, an open-source recompiled Chromium engine that adjusts browser fingerprints so automated agents can access sites that block ordinary automation.

AnswerJournal is an MCP server and web app for saving, publishing, and browsing AI answers. The page positions it as a place to keep notable Claude responses and share them with others.

Bear. CTXPM is an open-source context package manager for organizing AI project resources like Skills, Rules, Prompts, Memories, and MCP into a maintainable repo workflow.