
ModelContextProtocol (MCP) Server Integration
The ModelContextProtocol (MCP) Server acts as a bridge between AI agents and external data sources, APIs, and services, enabling FlowHunt users to build context...

Fingertip MCP Server enables AI assistants to interact with databases, file systems, APIs, and external services, expanding their intelligence and utility for developers.
FlowHunt provides an additional security layer between your internal systems and AI tools, giving you granular control over which tools are accessible from your MCP servers. MCP servers hosted in our infrastructure can be seamlessly integrated with FlowHunt's chatbot as well as popular AI platforms like ChatGPT, Claude, and various AI editors.
The Fingertip MCP (Model Context Protocol) Server acts as a powerful bridge between AI assistants and external data sources, APIs, or services. By exposing a standardized interface, it enables development workflows that require dynamic access to databases, file systems, APIs, and other resources directly from AI-powered clients. Developers can use the Fingertip MCP Server to streamline tasks such as querying information, managing files, integrating with third-party services, or automating repetitive operations within their coding environments. This not only accelerates development but also increases the scope and intelligence of AI assistants by providing them with actionable tools and real-time data.
No information found in the repository regarding prompt templates.
No information found in the repository about resources provided to AI clients.
No information found in server.py or related files about specific tools provided by the Fingertip MCP Server.
No detailed use cases described in the repository.
mcpServers section using the following JSON snippet:{
"fingertip-mcp": {
"command": "npx",
"args": ["@fingertip/mcp-server@latest"]
}
}
mcpServers section:{
"fingertip-mcp": {
"command": "npx",
"args": ["@fingertip/mcp-server@latest"]
}
}
{
"fingertip-mcp": {
"command": "npx",
"args": ["@fingertip/mcp-server@latest"]
}
}
{
"fingertip-mcp": {
"command": "npx",
"args": ["@fingertip/mcp-server@latest"]
}
}
To securely handle API keys, use environment variables in your configuration. Example:
{
"fingertip-mcp": {
"command": "npx",
"args": ["@fingertip/mcp-server@latest"],
"env": {
"API_KEY": "${API_KEY_ENV_VAR}"
},
"inputs": {
"apiKey": "${API_KEY_ENV_VAR}"
}
}
}
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:
{
"fingertip-mcp": {
"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 “fingertip-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
| Section | Availability | Details/Notes |
|---|---|---|
| Overview | ✅ | Overview based on MCP description. |
| List of Prompts | ⛔ | No prompt templates found. |
| List of Resources | ⛔ | No resources listed in the repo. |
| List of Tools | ⛔ | No tools found in code or documentation. |
| Securing API Keys | ✅ | Instructions provided. |
| Sampling Support (less important in evaluation) | ⛔ | No evidence of sampling support. |
The Fingertip MCP Server repository lacks detailed documentation and clear information about prompts, resources, tools, or advanced MCP features. Its setup instructions are generic, and there is no evidence of advanced MCP capabilities. Based on the tables above, I would rate this MCP a 2/10 for overall usability and documentation.
| Has a LICENSE | ⛔ (No LICENSE detected) |
|---|---|
| Has at least one tool | ⛔ |
| Number of Forks | 0 |
| Number of Stars | 0 |
Bridge your AI agents to real-world data, automate tasks, and streamline development using the Fingertip MCP Server. Try it with FlowHunt or integrate into your favorite coding environment.

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