Packages

Provides an MCP (Model Context Protocol) server that integrates an AI assistant with a YAPI API management instance. It exposes MCP tools to list YAPI projects/categories/interfaces, search interfaces, fetch interface details, and manage/refresh a local cache (including cache stats and per-project cache clearing).

Provides a Model Context Protocol (MCP) server (Go) that wraps the Etherscan API V2 to let LLM applications query multi-chain blockchain data such as balances, blocks, transactions, contract ABI/source, gas oracle, and token/NFT transfers.

Provides an MCP server (implemented in Go) that converts provided SVG input into favicon assets in ICO and/or PNG formats (e.g., 16x16, 32x32, 48x48). Output is returned as base64 in MCP responses and can optionally be written to files on disk.

Provides an MCP server that uses browser automation to search LinkedIn for people, companies, and jobs, scrape profile/feed data, and return structured JSON via MCP tools (stdio or streamable-http).

Provides an MCP server that integrates MATLAB with an AI assistant. It exposes MCP tools to (1) execute MATLAB code and (2) generate MATLAB code from natural language, and it exposes a resource/URI to access MATLAB documentation.

Provides a .NET Model Context Protocol (MCP) App with an interactive HTML color picker UI. Exposes an HTTP MCP endpoint at /mcp and a UI/resource endpoint for rendering the picker, with a tool named ColorPicker that accepts an optional initialColor (hex) and returns a result containing the UI resource URI to display.

mcp-chat is an open-source chat application template/demo that integrates Pipedream’s MCP server to enable AI chat-based tool calling across many third-party APIs, using the Vercel AI SDK for model/tool orchestration and optional persistence/sign-in.

mcp-kit is a Go-based toolkit that provides an MCP server and MCP client implementation (using github.com/shaharia-lab/goai/mcp), plus an HTTP API server layer that exposes REST endpoints and orchestrates requests between a frontend, the MCP client, and LLM providers. It also includes monitoring/observability via Prometheus/Grafana/Loki/Promtail and provides an OpenAPI schema file (openapi.yaml) for the API server.

A TypeScript bridge that connects Ollama-hosted local LLMs to MCP (Model Context Protocol) servers via JSON-RPC. It registers MCP tools, routes tool calls produced by the LLM to the appropriate MCP server(s), and validates/returns structured results to the user.

SQL Server Performance Monitor provides free, open-source performance monitoring and alerting for SQL Server and supported cloud SQL platforms. It collects performance data via scheduled T-SQL collectors (Full edition uses SQL Agent and installs a monitoring database; Lite edition runs a desktop app and stores data locally using DuckDB/Parquet), renders dashboards and plan visualizations, and includes a built-in MCP server offering read-only tools for AI-assisted analysis based on the collected monitoring data.

Provides an MCP server that exposes OCR capabilities (based on RapidOCR) via two tools: OCR from base64-encoded image content and OCR from an image file path.

**This repository is deprecated and no longer maintained.**

Provides a Model Context Protocol (MCP) weather tool via a Java (Spring Boot–based) MCP server using STDIO transport. The exposed tool fetches current weather details for a specified location by calling the free wttr.in weather endpoint (no API key mentioned).

An LLM-based intelligent agent platform that combines multi-agent collaboration, RAG knowledge retrieval, MCP server integration, and memory management for complex conversational AI workflows.

Provides a bidirectional bridge between Claude Code (via Claude Code Channels from an MCP server) and OpenAI Codex CLI (via an MCP server exposing blocking tool calls). It routes Claude- and Codex-initiated messages through the bridge and renders a real-time web UI while the two agents discuss.

Data API builder (DAB) generates a containerized CRUD data API from supported database schemas, exposing secure REST and GraphQL endpoints (and mentions MCP support as coming soon). It includes a CLI (dab) for configuration, adds entities with permissions, and can run in development or production modes.

Provides a local, read-only MCP server that wraps CData’s JDBC Driver for Excel Online, exposing Excel Online content as relational tables/columns and allowing tool-based SQL SELECT queries via an MCP (stdio) interface for AI clients like Claude Desktop.

An MCP server that exposes Kubernetes read-only style tools to AI assistants: getting a specific Kubernetes resource and listing resources by kind with optional namespace and labelSelector filtering. It supports both in-cluster configuration and external kubeconfig.

@flexpa/mcp-fhir is an experimental MCP (Model Context Protocol) server that connects to a FHIR server using SMART on FHIR access tokens. It exposes MCP tools to search for FHIR resources and read individual FHIR resources, returning results in FHIR JSON and supporting resource access via fhir:// URIs.

mcp-interviewer is a Python CLI (and library) that interviews an MCP server by running it (typically via an external command), performing constraint checking on tool metadata/capabilities, optionally running functional tests by invoking tools using an OpenAI-compatible chat completions client, optionally performing experimental LLM-based evaluations/judging, and generating a Markdown + JSON report with collected statistics and results.