firepass-mcp

# firepass-mcp MCP server that turns [Kimi K2.6 Turbo](https://fireworks.ai) into an agentic coding assistant. The model gets a tool loop — it can read/write files, run shell commands, and search code with ripgrep, ast-grep, jq, and glob — and iterates autonomously until the task is done. Four tools exposed over MCP: | Tool | Capabilities | Use case | |------|-------------|----------| | `firepass_worker` | read_file, write_file, edit_file, bash, ripgrep, glob_find, ast_grep, jq, list_dir, tree, done | Coding, refactoring, bug fixes | | `firepass_researcher` | read_file, ripgrep, glob_find, ast_grep, jq, list_dir, tree, done (read-only) | Code analysis, architecture review | | `firepass_reviewer` | read_file, ripgrep, glob_find, ast_grep, jq, list_dir, tree, done (read-only) | Code review with structured output | | `firepass_trio` | researcher → worker → reviewer chain with bounded fix loop-back | Plan-then-implement-then-review in one MCP call | ## Requirements - Python 3.10+ - A [Fireworks AI](https://fireworks.ai) API key - `rg` (ripgrep), `sg` (ast-grep), `jq`, `tree` on PATH for full tool coverage - `bash`, `ls` (standard on POSIX systems) ## Install ```bash uvx firepass-mcp ``` ## Configuration Set your API key: ```bash export FIREWORKS_API_KEY="fw-..." ``` ### Codex CLI Add the server with: ```bash codex mcp add firepass --env FIREWORKS_API_KEY=fw-... -- uv run firepass-mcp ``` This writes a config like: ```toml [mcp_servers.firepass] command = "uv" args = ["run", "firepass-mcp"] [mcp_servers.firepass.env] FIREWORKS_API_KEY = "fw-..." ``` ### Claude Code Add the server with: ```bash claude mcp add -e FIREWORKS_API_KEY=fw-... firepass -- uv run firepass-mcp ``` This writes a config like: ```json { "mcpServers": { "firepass": { "type": "stdio", "command": "uv", "args": ["run", "firepass-mcp"], "env": { "FIREWORKS_API_KEY": "fw-..." } } } } ``` ### Claude Desktop / Generic MCP JSON If your …