Packages

26403 results

dgraph-mcp-server

Infrastructure

Provides an MCP (Model Context Protocol) server that lets MCP-capable LLM applications interact with a Dgraph database via tools for running DQL queries, executing RDF mutations, altering the schema, and retrieving the current schema.

MCP Stale mcp dgraph graph-database
37

hoot

DevTools

@portkey-ai/hoot is an MCP (Model Context Protocol) testing tool with a browser UI. It connects to MCP servers (HTTP and SSE), helps test/execute tools with parameters, supports OAuth 2.1 authentication flows, and persists server/tool configuration and (on local runs) OAuth tokens in a local SQLite database. It can be run instantly via hoot.run or locally via npx/npm.

Priority Stale mcp mcp-client mcp-tools
37

mcp-linkedin

Ai Ml

An MCP (Model Context Protocol) server that exposes tools to interact with LinkedIn Feeds and LinkedIn Jobs using an unofficial LinkedIn API wrapper.

MCP Priority Stale mcp linkedin agents
37

mcp-server-mysql

Infrastructure

An MCP (Model Context Protocol) server that connects to a MySQL database and exposes operations to list tables, read table contents, and execute SQL queries via a structured, agent-facing interface, using MySQL credentials supplied via environment variables.

MCP Stale mcp mysql database
37

pointr-cloud-mcp-server

Infrastructure

An MCP server package for integrating with Pointr Cloud via Model Context Protocol, exposing Pointr-related capabilities to an MCP-capable agent/runtime.

MCP Stale mcp pointr cloud
37

python-alfresco-mcp-server

Infrastructure

Provides an MCP server (Python-based) that exposes Alfresco functionality to AI agents via the Model Context Protocol.

MCP Stale mcp alfresco ecm
37

readwise-skills

Ai Ml

readwise-skills is a repository of AI agent “skills” for working with a user’s Readwise/Reader data. It includes skills that teach an agent how to use the Readwise CLI and Readwise MCP tools, plus higher-level workflows like triaging saved articles, feed catch-up, quizzes, book reviews, reading recaps, and generating a “now reading” page/persona for personalization.

MCP Priority Stale ai-agents readwise mcp
37

time-server-mcp-cyf

Infrastructure

Provides an MCP server for time-related data (e.g., current time/date) via a tool-based interface for AI agents.

MCP Stale mcp time tooling
37

toolhive-catalog

DevTools

toolhive-catalog is a registry/catalog repository for listing Model Context Protocol (MCP) servers and reusable skills/workflows. It defines a directory structure and JSON/YAML schemas (e.g., server.json and SKILL.md) for contributors to add container-based (Docker/OCI) or remote (HTTP/HTTPS) MCP server endpoints and skill definitions.

Priority Stale mcp model-context-protocol registry
37

vefaas-browser-use-mcp-server

DevTools

An MCP (Model Context Protocol) server package intended to integrate “browser-use” capabilities into an MCP-compatible agent. It likely exposes browser automation/scraping tools to an LLM/agent through the MCP interface, enabling the agent to navigate web pages and perform tasks using browser control.

MCP Stale mcp browser-automation web-browsing
37

xenfra-mcp-server

DevTools

An MCP server package intended to expose Xenfra-related capabilities to AI agents via the Model Context Protocol (MCP).

MCP Stale mcp agents tooling
37

zmp-knowledge-store-mcp-server

Ai Ml

MCP server intended to expose a “knowledge store” for use by AI agents via the Model Context Protocol. It likely provides tools for adding, retrieving, or searching knowledge/data, backed by some persistence layer.

MCP Stale mcp ai-agents knowledge-base
37

beam_flink1.16_job_server

Infrastructure

beam_flink1.16_job_server is a Beam (Apache Beam) Flink 1.16 job server component that supports executing Beam pipelines on Flink by providing a job submission/control layer targeted to that Flink version.

Stale ai-ml data-processing apache-beam
37

docker-tika-server

Infrastructure

docker-tika-server provides a containerized Apache Tika server setup for extracting/parsing text and metadata from documents via HTTP, using Apache Tika under the hood.

Stale document-processing search extraction
37

excalidraw-skill

DevTools

Provides a Claude Code/OpenClaw/SkillsMP “skill” that uses natural-language descriptions to generate Excalidraw diagram JSON and export it to PNG/SVG (PNG via a local CLI; SVG via Kroki API). It also includes design conventions (layout modes, spacing rules, semantic colors, arrow styles) and supports exporting/editing via .excalidraw files.

Skill Priority Stale agent-skills claude-code openclaw
37

mcp-armor

Security

mcp-armor is a local Python CLI tool that auto-discovers and scans Model Context Protocol (MCP) configurations (for popular agent/IDE setups), inventories MCP tools/resources/prompts, runs static security checks (e.g., prompt injection, tool poisoning/shadowing, secret detection), and optionally performs baseline drift detection via an inspect/scan workflow that flags deviations from an approved baseline.

Priority Stale ai-agent-security mcp security-scanning
37

mcp-server-brightdata

Ai Ml

An MCP (Model Context Protocol) server package intended to integrate with Bright Data (web data/infrastructure) so an agent can perform Bright Data-related tasks through MCP tools.

MCP Stale mcp brightdata data-collection
37

media-skills

Ai Ml

media-skills is a collection of open-source “Agent Skills” for OpenClaw/Claude Code and other agents that follow the Agent Skills standard. It includes multiple skills for media/content creation such as image generation, audio/TTS/music/voice cloning, and video post-production/prompting/video generation, aiming for “zero API key management.”

Skill Priority Stale agent-skills claude-code openclaw
37

pointr-cloud-v8-mcp-server

DevTools

An MCP server package (pointr-cloud-v8) intended to expose Pointr Cloud v8 capabilities to LLM/agent runtimes via the Model Context Protocol, enabling agents to call Pointr-related actions as MCP tools.

MCP Stale mcp ai-agents tooling
37

project-memory

DevTools

A local “memory” skill for Claude Code that bootstraps and maintains a standardized set of project documentation files (bugs, decisions/ADRs, key facts, and an issues/work log) plus memory-aware protocol sections in CLAUDE.md/AGENTS.md to help agents maintain continuity across sessions.

Skill Priority Stale agentic-skill claude-code-skill documentation
37
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