$ loading_
Search curated AI project directories and submit new projects from the terminal.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ailist-mcp" yet — see the docs or source repo.
Search the directory for MCP servers related to code repository management, and list their names and brief purposes.
A list of relevant MCP server projects with names and short descriptions.
Browse the directory for AI CLI tools suitable for terminal use, and summarize several candidates with their key traits.
Several CLI tool candidates with brief characteristics for quick evaluation.
I want to submit a new AI API project to the directory. Tell me what project information is needed and draft the submission content.
A checklist of required project details and a draft project submission description.
Developers can use it to quickly search and browse the directory when evaluating MCP servers, CLI tools, or libraries, reducing tool selection time.
Researchers or product managers can browse different kinds of tools and APIs in the directory to build a basic understanding of a specific AI project landscape.
When a team wants a new AI project to be listed, they can submit it directly from the terminal, reducing manual effort and context switching.
It is an MCP tool that lets AI agents search and browse a curated directory of AI projects. The directory includes MCP servers, CLI tools, libraries, and APIs, and it also supports submitting new projects from the terminal.
Based on the provided description, it covers MCP servers, CLI tools, libraries, and APIs. For any additional categories, see the source repository.
The provided materials do not include installation, runtime, or authentication requirements. For setup details, see the source repository.
Give AI agents MCP tools for task management and document retrieval.
Search external information through an MCP server for LLM-powered agents.
Enable agents to search synced code repositories with fast AI-powered retrieval.
Lets AI search web, GitHub, and GitLab with reranking and fallback.
Search the web locally and generate grounded answers with an Ollama model.
Lets AI access GitLab projects and query merge requests, issues, and pipelines.