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Project overview

agent-browser gives AI agents commands to open pages, capture accessibility snapshots, click or fill referenced elements, read text, take screenshots, and manage tabs. Its native Rust CLI can also run as an MCP server with selectable tool profiles. Chrome must be installed or downloaded for automation, while features such as the encrypted authentication vault are opt-in.

Project overview

Skill Seekers uses a Python CLI and MCP server to turn documentation sites, GitHub repositories, PDFs, videos, and other sources into structured knowledge assets. It can compare code with documentation, generate example-rich SKILL.md files, and export for Claude, Gemini, OpenAI, LangChain, and multiple vector-database formats. It also supports caching, resumable jobs, and project-configuration scanning. Basic use requires Python 3.10+ and Git; AI enhancement or upload features may need provider credentials.

Project overview

Ralph Orchestrator drives coding agents through role-based hats, events, and iterative loops until they emit LOOP_COMPLETE or reach the iteration limit. It supports backends such as Claude Code, Codex, Gemini CLI, Kiro, and OpenCode, with planning, persistent tasks and memory, plus gates for tests, lint, and type checks. Telegram can add human guidance, each MCP server is scoped to one workspace, and the web dashboard remains Alpha.

Project overview

NTM turns tmux into a local control plane for multi-agent development. It can spawn and label sessions, route work across panes, coordinate assignments and file reservations, protect risky operations with approvals, and preserve checkpoints and audit trails; robot JSON and local APIs make the same controls usable from scripts.

Project overview

Shadow signs each credit decision with Ed25519 and chains attestations with SHA-256 so a later verifier can detect silent changes to the verdict, reason codes, model manifest, or committed inputs and outputs. The verdict engine uses deterministic rules, while LLM personas provide advisory rationale that cannot alter the decision. The project sends no telemetry and explicitly remains pre-1.0 rather than a compliance product. It is a research layer for lenders building an auditable decision narrative.

Project overview

GitHub's official MCP Server connects compatible AI clients to repositories, code, issues, pull requests, Actions, and security-related data. You can use GitHub's hosted endpoint or run the server through Docker or a local binary, then limit the exposed surface with toolsets or individual tools. Available write operations depend on the permissions granted to the OAuth session or token.

Project overview

VT Code is a Rust coding agent for long-running automation, available through an interactive TUI or headless commands and compatible with more than 21 cloud and local model providers. Restricted shell sandboxing, tool guardrails, and audit logs define its execution boundaries, while worktree isolation and Skills/MCP support extend workflows. Local inference through Ollama, LM Studio, and llama.cpp is still marked experimental.

Project overview

Not Human Search indexes websites using signals such as llms.txt, OpenAPI descriptions, structured APIs, and MCP endpoints, then ranks them for agent-oriented use. People can search through the site or REST API, while compatible agents can use its MCP server to find services, inspect site details, and check a URL score. It is aimed at developers building machine-readable web workflows.

Project overview

Install and update Agent Skills from GitHub, local folders, or ZIP files, validate them against the specification, and manage their metadata from one toolkit. SkillPort can deliver skills through a CLI or MCP server and uses search-first, on-demand loading for large collections. It is still under active development, so its APIs may change.

Project overview

Dexto is an agent harness for defining models, tools, and behavior in YAML rather than wiring every workflow by hand. It includes sessions, persistent memory, tool orchestration, multimodal input, and observability, with a ready-made coding agent as an example. Agents can run locally, in the cloud, or through CLI, web, REST, Discord, and Telegram interfaces.

Project overview

Puppeteer Real Browser MCP Server starts and owns a local Chrome process for an MCP client, exposing navigation, content reading, element lookup, clicks, typing, waits, and scrolling. It defaults to a visible browser, supports headless mode, proxies, custom Chrome paths, and dedicated profiles, and closes only the process it launched. The workflow requires reading page content before interaction, allows one browser session, and does not provide a real CAPTCHA solver.

Project overview

Metric Brand Auditor evaluates a brand through seven research dimensions and five scoring lenses. Parallel researchers gather public material, independent judge panels score the same synthesis, and a lead merges consensus, disagreement, leverage, and a 90-day action plan into Markdown and HTML reports. Re-running a brand can use an evolution mode that focuses on changed dimensions and preserves dated report versions.

Project overview

Vestige is a local-first Rust MCP server that stores agent memories on the user’s machine and searches backward for changes that may have caused a later failure. Its compact tool set covers recall, causal backfill, ingestion, suppression, graph work, and maintenance, using SQLite, full-text search, and vector indexing underneath. The first run downloads an embedding model; afterward the service can work offline on macOS, Linux, or Windows.

Project overview

Embedded Debugger MCP connects AI clients to probe-rs for probe discovery, target control, memory access, breakpoints, flashing, and RTT communication. The same package includes setup-oriented CLI commands and a skill for Codex and Claude Code. Hardware work requires a compatible debug probe, a supported ARM Cortex-M or RISC-V target, and correct SWD or JTAG wiring; destructive erase and write operations are gated by configuration.

Project overview

Mirobody has a C++ core that runs inside Android and iOS apps, in a desktop wrapper, or as a self-hosted server. It brings wearable, laboratory, and clinical records behind a common interface, with FHIR endpoints, long-term memory, MCP tools, and several LLM providers. Health data can remain on the phone or the operator’s own infrastructure, but enabling an external model, synchronization, or vendor integration can send selected information outside that boundary. The architecture supplies privacy and compliance controls; the deployer remains responsible for the final HIPAA or GDPR posture.

Project overview

AgentPack performs a local preflight before an agent edits code. Given a task, it ranks likely files, tests, rules, skills, commands, and warnings, then renders a compact context pack with reasons and receipts for what was included or skipped. It uses local analysis and reusable caches rather than cloud indexing or model calls, and its benchmark measures file-selection overlap—not guaranteed task success—so source inspection and tests still matter.

Project overview

SNU Library Scholarly Access uses a Seoul National University library account and Playwright to check supported domains, create proxy URLs, discover article PDFs, distinguish full text from supplements, and download files. It offers CLI commands plus an optional MCP server with browser-profile and timeout options.

Project overview

Docker MCP Gateway is a Docker CLI plugin that can run with Docker Desktop or independently. It isolates MCP servers in containers, organizes them with profiles and OCI catalogs, and gives clients such as VS Code, Cursor, and Claude Desktop one gateway for tools, prompts, and resources. Secrets, OAuth, discovery, and call tracing are supported; Docker Desktop users need version 4.59 or newer with the MCP Toolkit.