Fetches and analyzes LinkedIn profile posts through a RapidAPI LinkedIn data API.
Setup
Choose your client, copy the config, then fill in any required environment variables.
claude mcp add linkedin-profile-analyzer --env RAPIDAPI_KEY='<RAPIDAPI_KEY>' -- uv run --with 'mcp[cli]' mcp run path/to/your/script.py~/.codex/config.toml
[mcp_servers.linkedin-profile-analyzer]
command = "uv"
args = ["run", "--with", "mcp[cli]", "mcp", "run", "path/to/your/script.py"]
env = { RAPIDAPI_KEY = "<RAPIDAPI_KEY>" }
# codex mcp add linkedin-profile-analyzer --env RAPIDAPI_KEY='<RAPIDAPI_KEY>' -- uv run --with 'mcp[cli]' mcp run path/to/your/script.py~/.cursor/mcp.json
{
"mcpServers": {
"linkedin-profile-analyzer": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"path/to/your/script.py"
],
"env": {
"RAPIDAPI_KEY": "<RAPIDAPI_KEY>"
}
}
}
}.vscode/mcp.json
{
"servers": {
"linkedin-profile-analyzer": {
"type": "stdio",
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"path/to/your/script.py"
],
"env": {
"RAPIDAPI_KEY": "<RAPIDAPI_KEY>"
}
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"linkedin-profile-analyzer": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"path/to/your/script.py"
],
"env": {
"RAPIDAPI_KEY": "<RAPIDAPI_KEY>"
}
}
}
}claude_desktop_config.json
{
"mcpServers": {
"linkedin-profile-analyzer": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"path/to/your/script.py"
],
"env": {
"RAPIDAPI_KEY": "<RAPIDAPI_KEY>"
}
}
}
}.trae/mcp.json
{
"mcpServers": {
"linkedin-profile-analyzer": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"path/to/your/script.py"
],
"env": {
"RAPIDAPI_KEY": "<RAPIDAPI_KEY>"
}
}
}
}Environment variables
RAPIDAPI_KEY
Replace the placeholders with your own credentials and keep them out of version control.