TwitterAPI MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PROXY_URL | No | Proxy URL for enterprise environments (e.g., http://proxy.company.com:8080) | |
| HTTP_PROXY | No | Alternative HTTP proxy configuration | |
| HTTPS_PROXY | No | Alternative HTTPS proxy configuration | |
| TWITTERAPI_API_KEY | Yes | Your TwitterAPI.io API key (format: new1_xxxxxxxxxxxxxxxxxxxxx) |
Instructions
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.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 11 tools
Every tool has a clearly distinct purpose with no ambiguity. Each targets a specific resource (tweet, user) and action (create, get, search, login), making it easy for an agent to select the correct tool. For example, get_user_by_id and get_user_by_username are clearly differentiated by the identifier type.
All tool names follow a consistent verb_noun pattern with snake_case throughout, such as create_tweet, get_tweet_by_id, and search_users. This predictability enhances usability and reduces confusion for agents.
With 11 tools, the count is well-scoped for a Twitter API server, covering core operations like posting, retrieving, and searching tweets and users, plus authentication. Each tool earns its place without being overwhelming or insufficient.
The tool set provides strong coverage for read operations (get, search) and a key write action (create_tweet), with authentication handled via login_user. However, it lacks update and delete operations for tweets or user interactions (e.g., like, retweet, follow), which are common in Twitter workflows, leaving minor gaps.