forge-mcp

forge-mcp

Provides MCP tools for AI-powered code review, research, and book writing via a fleet of coding agents.

Category
访问服务器

README

forge

Front door for the erewhon code agents — a forge CLI and a forge-mcp MCP server over a fleet of coding agents: review ensembles, parallel model comparison, research harnesses, dependency bumping, testing loops, and an architect/worker coding pipeline.

forge <verb> [args] — run forge <verb> --help for each agent's own options.

  • Where tasks go: verbs that emit (audit/testing/refactor/deps, the pipeline) file into the configured task store — a Nous Forge notebook (needs the [nous] extra), or GitHub issues with TASK_STORE_BACKEND=github.
  • Models: the review/analysis ensembles run against any OpenAI-compatible endpoint (point *_OPENAI_BASE_URL-style settings at your router); edit and task/build can also drive Claude/OpenCode per their model settings.
  • MCP: research, review, book are exposed as MCP tools via forge-mcp; the rest are CLI-only.

Research & writing

Example Does
forge research "why did the Bronze Age collapse?" Iterative research: plan → research → verify → synthesize (--dry-run, --max-sprints N)
forge book config.yaml Book-length research via generator–evaluator sprint cycles

Review & analysis (read-only)

Example Does
forge review --pr 123 --repo owner/repo PR review ensemble; --post-comment posts back; --pass digest|supply-chain; or --diff-file x.diff
forge audit crates/foo/src --project Gaol --emit-tasks Adversarial multi-model audit (discover→dedup→verify); --focus "data loss", --min-severity high, --dry-run-emit
forge testing crates/foo/src --project Gaol --emit-tasks Find untested behavior → file test-gap tasks (--auto instead generates+gates+pushes tests)
forge refactor crates/foo/src --project Gaol --emit-tasks Find smells, verify safe+worthwhile, file refactor tasks
forge code-review Nightly code review of recent commits (markdown by default; optional Nous daily-note sink)

Code generation & autonomy

Example Does
forge edit --prompt "convert callbacks to async" --repo ~/src/foo --models "claude-opus-4-8,opencode:glm-5.1" Same prompt, N models (2–26), compare the diffs
forge task --project Gaol Autonomous worker: pick the top ready task, run it in the sandbox, commit (--dry-run executes then reverts)
forge build plan --epic <slug> --project Meta --repo <path> Coding pipeline A0+A1 framing; --approve unlocks decompose + emit
forge build run --epic <slug> --project Meta --repo <path> Orchestrator wave loop (dispatch → verify → replan); --concurrency N
forge build gate --epic <slug> --repo <path> Final full-quorum epic sign-off (a human merges after)
forge deps --project Meta --dry-run Dependency bumper: scan + gate; --auto-merge advances main on clean low-risk bumps

Eval

Example Does
forge evals run Score models against frozen gold sets and print the report
forge evals baseline / compare Save a scorecard as baseline / compare a fresh one against it

Install

uv sync                     # library + CLI, no Nous
uv sync --extra nous        # + the Nous task-store backend

# or as a global tool:
uv tool install --editable ~/path/to/forge          # `forge` + `forge-mcp`
uv tool install --editable '~/path/to/forge[nous]'  # with the Nous backend

Machine-local settings (router URL, API key, project paths) live in a gitignored .env at the repo root — every agent's settings read it when run from the repo.


Conventions. Path-based verbs (audit/testing/refactor) read files/dirs into one context (no file tools) — scope them to a crate/module, not a whole repo. First pass any emit with --dry-run-emit to preview volume. Emitted tasks land Spec Needed + Manual (proposals), deduped by a stable external_ref, so re-running the same sweep never duplicates.

License

Apache-2.0

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选