MCP Server for Agentic Developer
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-teabranch-agentic-developer","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Agentic Developer MCP Server An MCP server implementation that clones a Git repository and runs Codex on its contents. ## Overview This MCP server provides a tool for cloning a Git repository, optionally checking out a specific branch, focusing on a particular folder, and running Codex with a given request. ## Installation ```bash # Install the package in development mode pip install -e . ``` ## Usage You can run the MCP server using either stdio or SSE transport: ```bash # Using stdio (default) python -m mcp_server # Using SSE on a specific port python -m mcp_server --transport sse --port 8000 ``` ## Tool Documentation ### run_codex Clones a repository, checks out a specific branch (optional), navigates to a specific folder (optional), and runs Codex with the given request. #### Parameters - `repository` (required): Git repository URL - `branch` (optional): Git branch to checkout - `folder` (optional): Folder within the repository to focus on - `request` (required): Codex request/prompt to run #### Example ```json { "repository": "https://github.com/username/repo.git", "branch": "main", "folder": "src", "request": "Analyze this code and suggest improvements" } ``` ## Development This project uses the MCP Python SDK to implement an MCP server. The primary implementation is in `mcp_server/server.py`. ## License MIT
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.