# LLM Tool

The GitHub Kanban MCP Service is a tool that converts GitHub issues into a kanban - style management, specifically designed for LLM task management optimization.

MCP Server for Exa Search API

A GitHub project management service based on the MCP protocol, providing a standardized interface for LLM clients to manage GitHub projects.

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

An MCP server that provides Google search services through Serper

mcp-get is a command-line tool used to discover, install, and manage MCP servers, simplifying the connection between LLMs and external data sources.

A server project that allows LLM models to access the Linear API through the MCP protocol

Provide MCP server support for the Awesome-llms-txt project, allowing direct addition of document resources to conversations.

An MCP server implementation supporting Webhook, providing message sending functionality

This project provides an MCP server based on FastMCP, enabling LLM agents to interact with Autodesk ShotGrid through the REST API, supporting querying and managing entities such as projects, assets, and tasks, and is suitable for LLM workflow integration.

Code2Prompt is a tool for converting codebases into structured prompts, supporting automatic code processing, intelligent filtering, template customization, token tracking, and Git integration, facilitating interaction with large language models.

An experimental MCP server project for interacting with the Nutanix Prism Central API through large language models

DICOM-MCP is a DICOM server interaction tool based on the Model Context Protocol, supporting LLM access and analysis of medical imaging metadata.

A lightweight MCP server for managing session summaries and memos of LLMs (such as Claude), providing local file system storage, and supporting session history version tracking and retrieval functions.

An MCP server implementation for querying and manipulating JSON data, providing a standardized toolset for LLMs

TokenScope is a token-aware directory exploration tool for large language models, providing intelligent directory structure analysis, token-aware file content extraction, token usage statistics, and comprehensive report generation functions.

The MCP Code Executor is a server that allows LLMs to execute Python code in a specified Conda environment.

An MCP protocol server implementation based on Pyodide, providing Python code execution capabilities for large language models

The Polygon.io MCP Server is an experimental project that provides an LLM-friendly access interface to Polygon.io's financial market data API through the Model Context Protocol (MCP). This server exposes all of Polygon.io's API endpoints as MCP tools, supporting queries for various financial data such as stocks, options, foreign exchange, and cryptocurrencies.

nostrdb-mcp is an MCP protocol server that provides a nostrdb query interface for LLMs.

The Didlogic MCP Server provides a standardized Didlogic API access interface for LLMs

Memento MCP is a knowledge - graph - based LLM memory system that provides semantic retrieval, context recollection, and time awareness functions, supporting long - term persistent storage and efficient retrieval.

Databutton App MCP is a local proxy tool that securely connects to the API endpoints of Databutton apps via the MCP protocol and WebSocket, enabling LLM clients to use these APIs as tools.

A Python-based MCP server implementation that interacts with Notehub projects, devices, and data through the Blues Notehub API and official SDK, providing a standardized external tool integration interface for large language models.

A read - only access MCP server for SQLite databases based on the FastMCP framework, providing secure data query services for LLMs

The MCP Email Server is a protocol service that provides email functionality for LLMs, supporting email sending and attachment search.

A TypeScript-based Gel Database MCP Server that simplifies database operations through EdgeQL queries and supports LLM agents to automatically learn schemas, write, and validate queries.

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 BigQuery MCP Server is a model context protocol service that provides access to BigQuery databases, supporting LLM to check database structures and execute queries.

SourceSage is an efficient MCP server designed for LLMs, used to remember key aspects of codebases, such as logic, style, and standards, and supports dynamic updates and fast retrieval.