Packages

mcp-server-chart is an MCP server package intended to expose charting-related capabilities to AI agents via the Model Context Protocol (MCP). Without repository/README/package-manifest contents, the specific tools, inputs/outputs, and supported chart formats cannot be verified.

Provides MCP (Model Context Protocol) server configurations intended to integrate an agent host with OpenAI (o1 preview) and a Flux image model via separate MCP servers, configured through environment variables and a simple example client config.

mTarsier is an open-source desktop/CLI app for managing MCP servers and connecting them to multiple AI clients (e.g., Claude Desktop, Cursor, VS Code) by reading/editing client MCP configuration files, offering a dashboard/marketplace, and performing config backups/rollback.

Provides an MCP (Model Context Protocol) server interface to interact with a TiDB/TiDB-compatible database, exposing database operations as MCP tools for agent workflows.

A MCP (Model Context Protocol) server intended to integrate timesheet functionality into AI agents, likely enabling the agent to read and/or manage timesheet entries via MCP tools.

Provides an MCP-based server (and associated client CLI) for searching, retrieving, analyzing, and exporting arXiv paper metadata and related citation/trend insights in multiple formats (e.g., BibTeX/RIS/JSON/CSV/YAML), with a REST API and a web UI described in the README.

beets is a music library manager that organizes audio files and music metadata. It can scan/import local music, fetch and normalize metadata (artist/album/track info), rename and move files into a consistent directory structure, and maintain an indexed library for searching and further processing via commands and plugins.

A Go SDK implementing the Model Context Protocol (MCP), providing building blocks to create MCP servers (tool/resource/prompt registration and execution) and to communicate with MCP clients over multiple transports (stdio, SSE, WebSocket).

MCPHammer is a Python-based Model Context Protocol (MCP) server (FastMCP over HTTP) that exposes multiple MCP tools, including an Anthropic/Claude query tool, local file execution, URL-based download-and-execute, server info/health endpoints, and configurable “injection” text plus remote management via a separate configuration server. It also supports session logging and a web UI for managing instances and updating configuration (e.g., injection text and init URL).

mcp.science is an MCP server package intended to expose “science” related tools/data to an AI agent via the Model Context Protocol (MCP). Specific tool capabilities, endpoints, and behavior are not provided in the prompt content, so the evaluation is based only on the package name/declared MCP nature.

nginx is a high-performance web server and reverse proxy for HTTP/HTTPS traffic, supporting load balancing, caching, TLS termination, and flexible request routing via configuration.

nginx-static-file-server provides a lightweight way to serve static files using Nginx, typically via a containerized Nginx setup and configuration to map URLs/paths to a static content directory.

MCP server package intended to expose “Puzzle Academy” capabilities to AI agents via the Model Context Protocol (MCP). Based on the provided package name only, the exact tool set, configuration, and endpoints are not verifiable from the prompt.

pypiserver is a self-hosted PyPI-compatible package index/server that allows publishing and serving Python package artifacts (sdists/wheels) over HTTP, typically used for internal/private Python package distribution.

roboflow-inference-server-gpu is a GPU-oriented inference server implementation intended to run Roboflow models and expose an inference API for computer-vision predictions.

An MCP server that exposes MySQL/SQL database access (via the vedb-mysql capability) to LLM agents through the Model Context Protocol, enabling agent-driven querying and retrieval from a MySQL database.

ClickHouse Server is a high-performance columnar database server for analytical workloads, providing SQL query processing, distributed storage/replication features, and support for streaming/ingesting data at scale.

An HTTP echo server that listens for incoming HTTP requests and returns (echoes) request data back to the client, typically useful for testing clients, proxies, and webhook integrations.

Provides a community-maintained security checklist (human-readable docs plus machine-readable checklist.json/checklist.yaml) for securing Model Context Protocol (MCP) server deployments and agent infrastructure, covering topics like authentication/authorization, input validation/prompt injection, tool exposure, session security, observability, and network hardening.

MCP server (browser automation/tooling) intended to help an agent interact with web browsers/pages via MCP tools, such as navigating to URLs, extracting content, and performing page actions. (Evaluation based on package name/likely purpose; no README/repo contents were provided.)