About Jetshift Mcp Server
Jetshift Mcp Server connects MCP clients with JetShift and supports management of its aspects. The README demonstrates database creation, updates, lookup, and deletion through prompts.
Key features
- 01JetShift communication
- 02Management of JetShift
- 03Database creation and deletion
- 04Database information updates and lookup
Use cases
- 01Creating a JetShift database
- 02Renaming a database
- 03Viewing database details
- 04Deleting a database
MCP support
It exposes JetShift management capabilities to MCP clients. The README provides example prompts for creating, updating, viewing, and deleting databases.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
JetShift MCP Server
JetShift MCP Server allows communication with JetShift. It lets you manage all aspects of JetShift.
Server
uv pip install .
fastmcp dev main.py
# or,
mcp dev main.py
# add mcp to claude desktop
fastmcp install jsmcp/main.py
Clients
{
"mcpServers": {
"JetShift MCP Server": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"fastmcp",
"run",
"E:\\Python\\jetshift-mcp-server\\main.py"
]
}
}
}
uv run --with fastmcp fastmcp run "E:\Python\jetshift-mcp-server\main.py"
@fast.agent(
instruction="You are a helpful AI Agent",
servers=["jetshift_mcp_server"],
)
cp fastagent.secrets.example.yaml fastagent.secrets.yaml
cd fast-agent
uv run agent.py
MCP prompts
Create a database:
create a JetShift database from this connection mysql://obydul:123456@localhost:3306/test_db
Update database info:
Rename database (5) title to "Test MCP database".
Get database info:
Show me the DB info. id = 5
Delete database:
Delete database id = 5
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.