Git Spice Help MCP Server
Provides a tool for searching git-spice documentation, enabling efficient navigation and retrieval of git-spice related commands and information within Cursor IDE.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Git Spice Help MCP Serversearch for git-spice commit message examples"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cursor MCP Server
This repository contains a Model Context Protocol (MCP) server implementation that provides a tool for searching git-spice documentation within Cursor IDE.
Features
Integration with Cursor IDE through MCP protocol
Real-time git-spice documentation search
Simple and efficient documentation parsing
Related MCP server: Cursor DB MCP Server
Prerequisites
Node.js (v16 or higher)
Cursor IDE
npm or yarn package manager
Installation
Clone this repository:
git clone <repository-url>
cd <repository-name>Install dependencies:
npm install
# or
yarn installBuild the project:
npm run build
# or
yarn buildConfiguration
Server Configuration
The server is pre-configured with the following capabilities:
Tools capability
Resources capability
Prompts capability
Cursor IDE Configuration
Open Cursor IDE settings:
On macOS:
Cmd + ,On Windows/Linux:
Ctrl + ,
Navigate to the "Extensions" section
Find the MCP Server settings and add a new server configuration:
{
"name": "Git Spice MCP Server",
"command": "node",
"args": ["dist/index.js"],
"cwd": "/path/to/your/project"
}Save the settings and refresh the MCP
Usage
When using Cursor in agent mode, the MCP server will be automatically detected and the git-spice documentation search tool will be available. The agent will prompt you to use the tool when relevant to your queries.
Project Structure
src/index.ts: Main server implementationsrc/: Source code directorydist/: Compiled output directory
Acknowledgments
Available Tools
1 toolget-world-weatherC
获取全世界的天气预报
| Name | Required | Description | Default |
|---|---|---|---|
| latitude | Yes | 纬度 | |
| longitude | Yes | 经度 |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure but offers minimal information. It doesn't mention whether this is a read-only operation, potential rate limits, authentication requirements, data freshness, error conditions, or what the return format looks like. For a weather API tool with zero annotation coverage, this is inadequate transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise - a single Chinese phrase that directly states the tool's purpose. There's zero wasted language or unnecessary elaboration. It's front-loaded with the core functionality immediately apparent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (weather API with geographic coordinates), lack of annotations, and no output schema, the description is insufficiently complete. It doesn't explain what weather data is returned, units of measurement, temporal scope of forecasts, or any behavioral characteristics. The description alone doesn't provide enough context for effective tool use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100% with both parameters (latitude, longitude) well-documented in the schema with ranges and descriptions. The tool description doesn't add any parameter-specific information beyond what's already in the schema. According to guidelines, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description '获取全世界的天气预报' (Get worldwide weather forecast) clearly states the tool's purpose with a specific verb ('获取' - get) and resource ('天气预报' - weather forecast). It distinguishes itself by specifying '全世界的' (worldwide), indicating global coverage. However, with no sibling tools, differentiation from alternatives isn't demonstrated, preventing a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It simply states what the tool does without context about appropriate scenarios or limitations. This lack of usage guidance is a significant gap for effective tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- Changed
get-world-weather1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
1 tool update
- First observed
get-world-weather
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as fetching worldwide weather forecasts, making it impossible to confuse with other tools.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The tool name 'get-world-weather' follows a clear verb-noun pattern, which would be consistent if more tools existed.
A single tool is generally too few for most server purposes, as it limits functionality and scope. While weather-related servers could have more tools (e.g., for specific locations, forecasts, or historical data), one tool feels thin and underdeveloped for a comprehensive weather service.
The server's domain appears to be weather-related, but with only one tool for worldwide weather, there are significant gaps. Missing operations include getting weather for specific locations, historical data, forecasts by type (e.g., hourly/daily), or alerts, making the surface incomplete for typical weather use cases.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
An MCP server that gives your AI access to the source code and docs of all public github repos
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
A Model Context Protocol server for Wix AI tools
Related MCP Servers
- AlicenseBqualityAmaintenanceA Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.1290,042MIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables AI assistants to explore and interact with Cursor IDE's SQLite databases, providing access to project data, chat history, and composer information.25-

CodeAlive MCPofficial
AlicenseNot gradedqualityAmaintenanceA Model Context Protocol server that enhances AI agents by providing deep semantic understanding of codebases, enabling more intelligent interactions through advanced code search and contextual awareness.89MIT- FlicenseCqualityDmaintenanceA Model Context Protocol server that provides Retrieval-Augmented Generation capabilities using Contextual AI, enabling AI interfaces like Cursor IDE and Claude Desktop to query domain-specific knowledge with context-aware responses and source citations.121-
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sach999/git-spice-help-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server