Grafbase MCP Server
Grafbase MCP Server connects LLM agents to external APIs and services, streamlining complex developer tasks and automating contextual data access.
What does “Grafbase” MCP Server do?
The Grafbase MCP (Model Context Protocol) Server serves as a bridge between AI assistants and external data sources, APIs, or services to enhance developer workflows. By connecting large language models (LLMs) to actionable data and tools, Grafbase MCP enables tasks such as database queries, file management, and API interactions. This integration empowers developers to streamline complex processes, automate repetitive tasks, and enrich their AI-powered applications with real-time, contextual data. Grafbase MCP is designed to be modular and extensible, allowing seamless integration with various backend systems and providing a standardized interface for LLMs to interact with the external world.
Use Cases of this MCP Server
How to set it up
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How to use this MCP inside flows
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"MCP-name": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “MCP-name” to whatever the actual name of your MCP server is (e.g., “github-mcp”, “weather-api”, etc.) and replace the URL with your own MCP server URL.
Overview
| Section | Availability | Details/Notes |
|---|---|---|
| Overview | ✅ | |
| List of Prompts | ⛔ | |
| List of Resources | ⛔ | |
| List of Tools | ⛔ | |
| Securing API Keys | ⛔ | |
| Sampling Support (less important in evaluation) | ⛔ |
Based on the available information, the Grafbase MCP repository lacks public details about prompt templates, resources, tools, and configuration methods. The server is present but documentation and feature exposure are minimal.
Our opinion
Given the absence of documentation and visible MCP primitives, this MCP server currently scores low for discoverability, developer experience, and direct usability. It would benefit greatly from better documentation and explicit feature exposition.
MCP Score
| Has a LICENSE | ⛔ |
|---|---|
| Has at least one tool | ⛔ |
| Number of Forks | |
| Number of Stars |
Frequently asked questions
- What is the Grafbase MCP Server?
The Grafbase MCP Server is a modular and extensible bridge allowing AI assistants and LLMs to interact with external data sources, APIs, and services, enabling automation and contextual data retrieval for improved developer workflows.
- How do I connect Grafbase MCP to FlowHunt?
Add the MCP component to your FlowHunt flow, then configure it with your Grafbase MCP server URL in the system MCP configuration section. The AI agent will then be able to use all available Grafbase MCP functions.
- What benefits does integrating Grafbase MCP provide?
It streamlines developer processes, enables real-time data access for AI agents, automates repetitive tasks, and allows LLMs to interact with databases, files, and APIs through a standardized interface.
- Are prompt templates, tools, or resources available for Grafbase MCP?
Currently, there is minimal documentation and no public prompt templates, resources, or tool lists for Grafbase MCP. Improved documentation would enhance its usability and discoverability.
- Is the Grafbase MCP Server open source?
The presence of a LICENSE file or open source status is not confirmed; public documentation and feature details are currently lacking.
Integrate Grafbase MCP Server with FlowHunt
Empower your AI workflows by connecting the Grafbase MCP Server for seamless data access and automation. Get started with FlowHunt now.
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