Articles tagged "MCP"

REA lets coding agents like Claude Code and Codex analyze binaries, Electron apps and APKs via MCP/CLI (MIT). Install, engines, tool comparison, legal cautions.

Docker Agent (ex-cagent) explained, Oct 2026: install, a YAML multi-agent setup, MCP and local models, OCI sharing, vs Claude Code, and Hacker News views.

Claude for Financial Services is Anthropic's official, free reference repository of 10 named workflow agents, 9 vertical skill plugins, and 12 MCP data connectors for investment banking, equity research, private equity, and wealth management. Updated Sep 2026.

Hindsight is an open-source (MIT) agent memory system by Vectorize built to create agents that learn over time, not just recall chat history — it hits state-of-the-art scores on the LongMemEval benchmark. Updated Sep 2026.

Ollaya is an open-source local runtime for decision models: state and typed questions in, calibrated probabilities out in ms, via Ollama-style pull/run/serve.

WeKnora is an open-source LLM knowledge platform built by Tencent's WeChat team. It turns documents into RAG search, a ReAct agent, and a self-maintaining wiki under an MIT license you can self-host. This guide covers setup, features, and how it compares to alternatives.

MCPJam Inspector is an Apache 2.0 OSS platform to test, debug and eval MCP servers, via hosted app, npx, desktop, or Docker, vs. the official MCP Inspector.

dbt Labs open-sourced dbt Charts in Sept 2026: YAML for SQL dashboards, Apache-2.0. Covers install, init-validate-serve-render flow, AI agent skills, and MCP.

A guide to mksglu/context-mode, which passed 22,000 GitHub stars with +2,102 in a single week. Covers how it sandboxes tool output to cut context window consumption, how to install it on Claude Code, and how it compares to OpenViking, ECC, and the built-in /compact command.

A guide to debpalash/VoiceStudio (formerly OmniVoice-Studio), which surged on GitHub Trending in September 2026. Covers how it runs voice cloning, voice design, video dubbing, dictation, transcription, and audiobook creation entirely on local hardware, its 16 TTS / 11 ASR engine lineup, installation, local API/MCP support, and how it compares to ElevenLabs and other tools.

Sept 10, 2026: OpenAI's Agents API entered public beta, exposing the managed Codex harness for agent loops and sandboxes. This guide covers pricing and setup.

every-app/open-seo is an open source SEO tool that runs keyword research, rank tracking, backlink analysis, and site audits on the pay-as-you-go DataForSEO API. It also ships an MCP server for AI agents like Claude Code. Here's what it costs, how to self-host it, and how it compares to existing tools.

SkillSpector is NVIDIA's open-source scanner. It checks Agent Skills for Claude Code and other CLIs before install, scoring risk 0-100 by static analysis.

The Model Context Protocol roadmap was updated on 2026-08-22. Here is what its five priority areas, from DPoP to HTTP over stdio, mean for implementers.

Figma's official MCP catalog connects the Figma MCP server to Claude Code, Codex, Cursor, and Devin, covering setup steps, pricing, and security for each.

Agent Plugins 1.0.0 is a vendor-neutral open spec from Vercel packaging Agent Skills and MCP into one format. Updated Aug 2026: structure and client support.

A guide to Plaud's official MCP server (@plaud-ai/mcp) and CLI: search recordings, pull transcripts, and read AI summaries directly from Claude, ChatGPT, Cursor, and other AI clients. Covers one-command setup, the 7 MCP tools and 6 skills, terminal commands, meeting-to-follow-up workflows, and privacy considerations — based on the official docs.

MCP 2026-07-28 explained: no initialize handshake, no session IDs, server/discover, MRTR, the Tasks extension, hardened OAuth, and what breaks in existing servers.

**[DeepWiki (deepwiki.com)](https://deepwiki.com/) is an AI documentation tool from [Cognition Labs](https://www.cognition-labs.com/) — the [Devin](../columns/claude-fable-5-return-devin-cursor-2026-07) team**. **Replace `github.com` with `deepwiki.com` in any public GitHub URL** and the repo becomes an interactive wiki. **Core experience**: (1) **architecture diagrams** visualizing component dependencies, (2) **file-linked summaries** describing each module / function with direct links to the source, (3) **natural-language chat** grounded in the code ("who calls this function?", "why is it designed this way?"). **50,000+ top OSS repos are pre-indexed** (MCP, LangChain, Next.js, React, [Transformers](https://huggingface.co/docs/transformers), [VSCode](https://code.visualstudio.com/), [Playwright](https://playwright.dev/), etc.). **Private-repo support**: connect your GitHub to Devin and internal repos can also be analyzed by DeepWiki, with Devin's agent using the generated wiki when planning and executing tasks. **MCP server** — an **official one for [Cursor](../columns/cursor-ios-supports-2026-07-01) / [Claude Code](https://claude.com/product/claude-code) / Claude Desktop** so coding agents can consult DeepWiki mid-task. **Tech**: Cognition Labs' Devin AI plus the Claude Agent SDK (Claude 3.7-class LLMs); **free**. **Position**: alongside [Herdr (parallel execution)](../columns/herdr-terminal-agent-multiplexer-2026-07), [Mosaic (SHARED CONTROL)](../columns/mosaic-parallel-claude-code-2026-07), [Command Code (taste-1)](../columns/commandcode-taste-1-personalized-coding-agent-2026-07), [grill-me](../columns/grill-me-agent-skill-2026-07), and [Cerebras Gemma 4](../columns/cerebras-gemma-4-31b-multimodal-inference-2026-07), it occupies the **"understanding layer"** of the **"understand × parallel × personalized × thoroughly reviewed × fast inference" late-2026 AI dev stack**, cutting new-contributor onboarding from **days to hours**. **Caveats**: LLM hallucination remains (verify load-bearing claims by clicking through citations), Cognition Labs / Devin ecosystem dependency, and data-sovereignty considerations for private-repo use.

**[Command Code](https://commandcode.ai/) is a terminal AI coding agent** whose proprietary **"taste-1" model** combines LLMs with **continuous reinforcement learning from developer behavior**. **Core differentiator**: capture coding preferences from `accept` / `reject` / `edit` actions, producing output that increasingly matches **your architectural patterns, naming conventions, and coding style**. **Key features**: (1) **continuous learning system** — preferences captured from developer decisions, (2) **multi-mode operation** — interactive CLI, headless mode, sandbox environment, (3) **built-in tools** — file ops, shell commands, grep, extended thinking, (4) **project-level skills + persistent memory across sessions**, (5) **team collaboration** — `npx taste push/pull` share skill registries within a team, (6) **design partnership mode** — 17+ operational variants, (7) **MCP server support**. **LLM coverage**: **15+ providers** including Anthropic / OpenAI / Google / DeepSeek / Qwen / MiniMax. **Pricing**: **free tier for individuals**, Pro from **$1/month** + $10 free credits (which stretches to $40-$100 depending on model), team plans with additional seats and shared skill registries. **Install**: `npm i -g command-code`. **Claimed performance**: "Code 10× faster. Reviews, 2× quicker. Bugs 5× fewer" — per-developer personalization breaking through the ceiling of generic output. **Positioning**: a direct competitor to [Claude Code](https://claude.com/product/claude-code), [Cursor](../columns/cursor-ios-supports-2026-07-01), and [Codex](../columns/openai-chatgpt-work-launch-2026-07), but with **"individual-personalization learning"** as the differentiation axis.

A comprehensive guide to the **Skills & Tools system** in Nous Research's open-source agent Hermes Agent v0.15.2 (and the [Hermes Desktop](../columns/hermes-desktop-nous-research-2026) GUI), grounded in official docs and GitHub releases. Covers **Skills** (on-demand procedural docs) with the three-level Progressive Disclosure loading scheme starting at ~3k tokens, the `SKILL.md` format, the **skills.sh catalog that exploded from 858 to 19,932 entries in v0.15.1**, the standout new skills (`openhands`, `code-wiki`, `web-pentest`), the self-improving loop where the agent creates / patches / edits / deletes its own Skills, and **Tools** — 40+ built-ins like `web_search`, `x_search`, `terminal`, `patch`, `browser_navigate`, `vision_analyze`, `cronjob`, `memory`, `delegate_task`. Also covers MCP **client + server** support, the macOS Computer Use background execution that doesn't move the cursor or switch Spaces (5–20ms/event), and the 25+ messenger gateway (Slack / Discord / Telegram / Teams / WhatsApp / LINE / Feishu / WeCom and more). Ends with **eight category-specific combination patterns** — research, writing, data analysis, coding, customer support, social listening, internal automation, personal work — sized for Japanese enterprise practice.

**Hermes Desktop** by Nous Research is the native desktop app version of Hermes Agent, first demoed by Jensen Huang at the NVIDIA GTC keynote and now in public preview. Released under the MIT license, it supports macOS, Windows, and Linux with voice mode, cron scheduling, Computer Use, and MCP gateway integration — all sharing the same config, skills, and memory as the CLI and TUI. This column covers features, competitive positioning, and key considerations for Japanese enterprise adoption.

A primary-source read on the trend of on-device AI agents driving iOS simulators, anchored on **Argent** — Software Mansion's MCP-based iOS / Android simulator toolkit released May 8, 2026 — paired with Google's **Gemma 4 E4B** edge multimodal model. Covers Argent's actual spec (screenshot-first feedback + accessibility + profiling, MCP server implementation), Gemma 4 E4B's requirements (~2.5 GB model memory, 8 GB+ RAM, native function calling), the fact that Software Mansion's officially published Argent demo actually uses **Gemini 3.5 Flash (cloud)**, the separate on-device Gemma 4 E2B demo on an iPhone 17 Pro, and what this actually means for Japanese mobile QA and internal-app automation.

Meta launched the Meta Ads AI Connectors in open beta on April 29, 2026. Through the Model Context Protocol (MCP), advertisers can now create, manage, and analyze Facebook / Instagram campaigns directly from ChatGPT, Claude, and other MCP-compatible AI tools. This article summarizes the architecture (ads MCP server + ads CLI), the no-credential setup, supported use cases, and operational considerations — based on official sources.

A hands-on guide covering AGENTS.md authoring, priority rules, MCP integration, GitHub Actions, and team best practices. Learn how to turn Codex into a project-aware agent that works exactly the way you want.

In March 2026, software development is shifting dramatically toward Intent-Driven Development. A comprehensive guide covering vibe coding, MCP, multi-agent development, evolving developer roles, Japanese enterprise adoption, and practical implementation steps.

Claude Code by Anthropic is an agent-based development tool that autonomously codes by understanding entire codebases. Available via CLI, IDE, Desktop, and Web. Complete 2026 guide covering Opus 4.6, MCP, Agent Teams, and advanced features.

Model Context Protocol (MCP) is an open standard connecting Claude Code with external tools and data sources. Practical guide covering GitHub, Slack, Notion, AWS, GCP integration, custom MCP server creation, Hooks integration, and enterprise best practices for Tokyo development teams.

Learn how to integrate OpenClaw with external services like GitHub, Notion, Google Drive, and databases using MCP (Model Context Protocol). This practical guide covers plugin setup, custom MCP server development, and security best practices for AI agent integrations.