MCPs tagged with # API server

MCP BaoStock Server offers a stock data API service based on BaoStock, providing endpoints for retrieving diverse market information. It supports queries for stock basics, K-line historical data, industry classification, dividends, financial indicators, index data, and valuation metrics. Developed in Python, it is designed for easy integration and rapid access to comprehensive Chinese stock market data. The server enables detailed analysis and research with example test cases for each supported endpoint.

• ⭐ 56
• MCP
• HuggingAGI/mcp-baostock-server

MCP Filesystem Server provides secure access to local files and directories through a standardized interface following the Model Context Protocol (MCP). It offers a set of tools for reading, writing, modifying, searching, and managing files and directories, with robust safeguards for path validation, symlink handling, and directory access. Designed to be used as a standalone server or integrated as a Go library, it facilitates safe and efficient programmatic file operations for AI-model-driven agents.

• ⭐ 552
• MCP
• mark3labs/mcp-filesystem-server

File Merger MCP Server is a utility that enables fast and secure merging of multiple files into a single output using a standardized MCP server interface. It provides detailed merge summaries, enforces directory access restrictions for enhanced security, and exposes tools for file merging and directory listing via MCP-compatible API endpoints. Designed for integration with systems like Claude Desktop, it streamlines file combination tasks while maintaining strict directory access controls.

• ⭐ 23
• MCP
• exoticknight/mcp-file-merger

GrowthBook MCP Server enables seamless integration between GrowthBook and LLM clients by implementing the Model Context Protocol. It allows users to view experiment details, add feature flags, and manage GrowthBook configurations directly from AI applications. The server is configurable via environment variables and leverages GrowthBook's API for functionality. This integration streamlines experimentation and feature management workflows in AI tools.

• ⭐ 15
• MCP
• growthbook/growthbook-mcp

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

• ⭐ 3
• MCP
• InsForge/insforge-mcp

CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

• ⭐ 9
• MCP
• PromptExecution/cratedocs-mcp

dbt-docs-mcp implements a Model Context Protocol (MCP) server that interacts with dbt project metadata artifacts such as manifest.json and catalog.json. It exposes the dbt project graph through a standardized API, enabling search and inspection of models, sources, columns, and their upstream/downstream lineage. The solution facilitates column-level and model-level lineage analysis, node inspection, and can be extended to support database metadata querying and custom knowledge bases. It is designed for integrations with MCP-compatible clients, supporting advanced data discovery and context sharing workflows.

• ⭐ 21
• MCP
• mattijsdp/dbt-docs-mcp

Qlik MCP Server enables integration between Claude AI and Qlik Cloud applications through the Model Context Protocol (MCP). It exposes API tools for listing Qlik apps, retrieving sheets and charts, and extracting chart data programmatically. The server supports deployment via Docker, Deno, or Node.js, and can be configured for use with tools like Claude Desktop and Cursor. The setup emphasizes secure handling of Qlik Cloud credentials and flexible environment configuration.

• ⭐ 7
• MCP
• jwaxman19/qlik-mcp

buildkite-mcp-server implements a Model Context Protocol (MCP) server that exposes Buildkite data, including pipelines, builds, jobs, and tests, to AI tooling and editors. It facilitates secure and standardized access to CI/CD information for model-based tools. The project is written in Go and is recommended to be run in a containerized, secure environment.

• ⭐ 40
• MCP
• buildkite/buildkite-mcp-server

Google Sheets MCP Server enables seamless integration between Google Sheets and any MCP-compatible client, providing rich API access for spreadsheet automation. It offers full CRUD operations on spreadsheets and tables, secure authentication with Google Service Accounts, and compatibility with tools like Continue.dev, Claude Desktop, and Perplexity. The service can be rapidly installed with the uvx package manager, making it fast and easy to connect Google Sheets to various AI and automation workflows.

• ⭐ 12
• MCP
• henilcalagiya/google-sheets-mcp

Google Tasks MCP Server integrates seamlessly with Google Tasks, providing standardized tools for listing, searching, creating, updating, and deleting tasks. Following the Model Context Protocol, it exposes task resources and actions in a way that can be easily integrated with MCP-driven applications, including desktop AI assistants. The server supports OAuth authentication, context-driven task manipulation, and automated integration with platforms like Smithery and Claude Desktop.

• ⭐ 91
• MCP
• zcaceres/gtasks-mcp

MCP Nutanix is an experimental Model Context Protocol (MCP) server that allows large language models to interact with Nutanix Prism Central APIs. It facilitates listing and accessing resources such as VMs, clusters, and hosts via standardized MCP client-server integration, using the Prism Go Client for backend communication. The implementation supports both interactive and static credential methods, making it compatible with various MCP clients including Claude and Cursor.

• ⭐ 11
• MCP
• thunderboltsid/mcp-nutanix

NebulaBlock API MCP Server provides an implementation of the Model Context Protocol (MCP), enabling seamless integration of the NebulaBlock API as accessible tools. It leverages the fastmcp library and supports both command-line and environment variable API key configuration. Designed with MCP compatibility in mind, it offers a server interface for programmatic and tool-based interactions within any MCP-compliant system.

• ⭐ 1
• MCP
• Nebula-Block-Data/nebulablock-mcp-server

liveblocks-mcp-server provides a Model Context Protocol (MCP) server allowing AI clients to access, create, modify, and delete resources within Liveblocks such as rooms, threads, comments, and notifications. The server also offers read access to Liveblocks Storage and Yjs, making it easier for AI interfaces to manage collaborative features through Liveblocks’ REST API. Integration is supported for various clients including Cursor, Claude Desktop, and VS Code. Secure authentication is handled via project-specific secret keys.

• ⭐ 11
• MCP
• liveblocks/liveblocks-mcp-server

MKP is a Model Context Protocol (MCP) server designed for Kubernetes environments, allowing large language model (LLM) powered applications to list, retrieve, and apply Kubernetes resources through a standardized protocol interface. Built natively in Go, it utilizes Kubernetes API machinery to provide direct, type-safe, and reliable operations without dependencies on CLI tools. MKP offers a minimalist, pluggable design enabling universal resource support, including custom resource definitions, and includes built-in rate limiting for production readiness.

• ⭐ 54
• MCP
• StacklokLabs/mkp