The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

HiveChat is an AI chat application designed for small and medium - sized teams. It supports multiple large - model service providers and provides functions such as group management, Token limits, and third - party login.

K8M is an AI-driven lightweight Kubernetes console tool that integrates large model capabilities, supports multi-cluster management, and provides MCP services.

MCP service that provides A-share data for large models

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

The Alpaca MCP server is a model context protocol (MCP) service that implements the Alpaca trading API, allowing large language models to interact with the Alpaca trading system through natural language, supporting stock/options trading, portfolio management, and real-time market data acquisition.

The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

The MCP service for Ant Design components provides support for component documentation query and code generation for large language models

The Wikipedia MCP Server is a tool that provides Wikipedia information query services for large language models. It enables real - time data access through a standardized protocol interface and includes functions such as searching, article retrieval, and summary generation.

The Unity MCP Server is a C# - based Model Context Protocol (MCP) service used to connect the Unity editor with external large - language models (LLM) or cloud - based AI agents to achieve real - time automation and intelligent interaction.

A minimalist WeChat article reader MCP service that enables large models to obtain and analyze the content of WeChat official account articles through browser simulation and content extraction technology.

The Heroku Platform MCP Server is a service designed for large language models, providing the ability to interact with Heroku platform resources.

The JIRA MCP Server is an intermediate service that enables large - language models to interact with JIRA, supporting JQL search and issue detail retrieval.

Didlogic MCP Server is a model context protocol server that implements the Didlogic API, providing a standardized interface for large language models to access Didlogic services, including balance management, SIP account management, call record query, and other functions.

Codebase MCP is a service that implements the Model Context Protocol (MCP), providing tools for retrieving and analyzing entire codebases through RepoMix, and supporting AI agents such as Cursor's Composer Agent to automatically read and understand large codebases.

The Qiniu Cloud MCP service is a model context protocol server built on Qiniu Cloud products, supporting AI large model clients to access Qiniu Cloud storage, intelligent multimedia services, and CDN functions.

The Didlogic MCP Server is a service that implements the Model Context Protocol (MCP), providing a standardized interface for large language models (LLMs) to interact with the Didlogic API, and supporting multiple functions such as balance management and SIP account management.

GraphRAG MCP is a hybrid retrieval system that combines the Neo4j graph database and the Qdrant vector database, providing document retrieval services that combine semantics and graph relationships for large language models.

A multi-platform job aggregation service based on the MCP architecture, supporting the acquisition and standardization of job data from mainstream recruitment websites and providing structured support for large models.

An MCP server that provides OpenAPI specification interaction services for large language models, supporting loading, exploring, and querying API structures

An MCP server that provides documentation query services for Ant Design components, allowing large language models to explore and understand the Ant Design component library through dedicated tools.

The PlayFab MCP Server is a middleware that enables large language models to directly interact with PlayFab services, realizing data query and management functions.

A WeChat Reading MCP service tool that supports providing WeChat Reading book, note, and highlight data to large language model clients that support the MCP protocol.

MCP-DBLP is a service based on the Model Context Protocol (MCP) that provides large language models with the ability to access the DBLP computer science literature database, including functions such as search, citation processing, and BibTeX export.

The MCP service based on Superset implements large - model data query

Binance MCP Server is a standardized interface service that provides Binance exchange data for large language models (LLMs), supporting functions such as real-time quotes, historical data, order book queries, and WebSocket push.

The Clockify MCP service is a server integrated with AI tools for managing time records in Clockify. Users can record time entries by sending prompts to large - language models.

The BigQuery MCP Server is a protocol server that provides Google BigQuery access services for large language models, supporting functions such as query execution, dataset management, and table structure analysis.

The Astra DB MCP server is a service that provides large language models (LLMs) with the ability to interact with the Astra database, extending the functions of LLMs as agents to interact with external systems.

An Excel file reading and writing service based on the Spring AI MCP framework, supporting integration with large language models for dynamic interaction

An MCP server that provides GraphQL schema exploration services for Large Language Models, supporting the loading, querying, and analysis of GraphQL schema files.

A service based on FastMCP that allows large language models to connect to and operate on a PostgreSQL database, providing schema exploration, table structure query, and database query capabilities.

The Linode MCP Server is a service that provides a standardized interface for Linode cloud resource management, supporting the management of Linode instances through large language models (such as Claude).

The Yunxin MCP service provides a set of tools for large model processing of Yunxin IM/RTC functions and data, including message sending, historical query, data statistics, and real-time monitoring.

The OpenFGA MCP Server is an experimental Model Context Protocol service that enables large language models to read from and write to the OpenFGA authorization store, providing fine-grained permission management capabilities for AI agents and developers.

MCP-ORTools is a constraint solving service implementation based on Google OR-Tools. It integrates with large language models through a standardized constraint model specification and supports the solving of constraint satisfaction and optimization problems.

SMCP Proxy is a reverse proxy designed for Model Context Protocol (MCP) services, providing a security layer with OIDC authentication, supporting enterprise - level authentication and authorization, and simplifying standardized interactions with large language models (LLMs).

The Firebolt MCP Server is a service that implements the model context protocol, which can connect LLMs (large language models) with the Firebolt data warehouse, enabling AI assistants to directly query data, generate insights, and access documentation resources.

The n8n MCP Server is a service that provides access to n8n workflows, executions, credentials, etc. through the Model Context Protocol, enabling large language models to interact with n8n instances in a secure and standardized manner.

The GeoServer MCP Server is a server - side implementation of the Model Context Protocol (MCP) that connects large language models (LLMs) with the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.