Schema | Slander MCP

Slander MCP

Describes the environment variables required to run the server.

Name	Required	Description
`OPENAI_API_KEY`	No	OpenAI API key for LLM-based query generation and quality assessment
`ANTHROPIC_API_KEY`	No	Anthropic API key for LLM-based query generation and quality assessment
`TWITTER_BEARER_TOKEN`	No	Twitter/X API bearer token for authentication

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
generate_search_queryC	Generate effective Twitter search queries for finding slander, roasts, jokes, and memes about a target character (real or fictional). Uses AI to produce creative, context-aware queries that capture character-specific slander.
fetch_postsA	Fetch posts from Twitter for a given query, looping until quality threshold is met. Uses AI to evaluate batch quality and stops early when sufficient roast content is found. Returns posts with engagement metrics.
rank_postsA	Rank fetched posts by engagement, separate text from media posts, and extract nicknames. Uses engagement formula: (likes * 1.0) + (retweets * 2.0) + (replies * 0.5). Retweets weighted highest because sharing is strong signal for humor.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ebop14/slander_mcp'

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