What MCP client can I use with MCP-Twikit?
The README shows an example using `mcp-client-cli`, and Smithery offers installation for Claude Desktop.
@adhikasp
Basic information
A Model Context Protocol (MCP) server for interacting with Twitter.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-twikit": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"mcp-twikit",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
MCP-Twikit is a Model Context Protocol (MCP) server that enables AI assistants to interact with Twitter. It allows searching tweets, retrieving timelines, and performing sentiment analysis via an MCP client. Intended for developers and power users who want to integrate Twitter data into LLM workflows.
Install automatically via Smithery using npx -y @smithery/cli install mcp-twikit --client claude or manually by configuring an MCP client with the command uvx --from git+https://github.com/adhikasp/mcp-twikit mcp-twikit and environment variables TWITTER_USERNAME, TWITTER_EMAIL, and TWITTER_PASSWORD. Once configured, use tools like search_twitter and get_timeline through your MCP client.
The README shows an example using `mcp-client-cli`, and Smithery offers installation for Claude Desktop.
You must set `TWITTER_USERNAME`, `TWITTER_EMAIL`, and `TWITTER_PASSWORD` in the server configuration.
Yes, the example demonstrates using `to:accountname` syntax in the query to find tweets directed at a given account.
Yes, it requires your Twitter credentials (username, email, password) to access the Twitter API.
The README does not mention any specific limits.
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