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Ai Devtool Server

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MCP server for AI DevTool workflow, exposing tools and resources for code review, repository chat, and repository operations.

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About

MCP server for AI DevTool workflow, exposing tools and resources for code review, repository chat, and repository operations.

README

Model Context Protocol (MCP) server for AI DevTool workflow tools/resources/prompts.

What This Repo Owns

  • MCP transport endpoints (stdio/SSE).
  • Tool registry, schema validation, and policy enforcement.
  • MCP resources and prompt catalog for code review and repository chat.

Bounded Context

  • Owns MCP compatibility and tool exposure.
  • Does not own core business API lifecycle (api) or UI rendering (web).

System Design Diagram

flowchart LR
    Client[MCP Client] --> Server[MCP Server]
    Server --> Tools[Tool Registry]
    Tools --> API[ai-devtool-api]
    Tools --> Worker[ai-devtool-worker]
    Tools --> Contracts[ai-devtool-contracts]

Tool Invocation Flow

sequenceDiagram
    participant C as MCP Client
    participant M as MCP Server
    participant T as Tool Handler
    participant A as API/Service

    C->>M: tool call
    M->>M: validate request schema
    M->>T: dispatch handler
    T->>A: execute domain action
    A-->>T: result
    T-->>M: typed output
    M-->>C: response + trace id

Planned MVP Tools

  • repo_index_status
  • repo_search
  • repo_read_file
  • review_diff
  • review_pr_summary
  • prompt_catalog_list

Local Development

  1. npm install
  2. npm run typecheck
  3. npm run test
  4. npm run lint
  5. API-backed stdio server: API_BASE_URL=http://127.0.0.1:3001 npm run start:stdio
  6. End-to-end local smoke (boots API + MCP and exercises tools): npm run e2e:local

Run and Deployment Notes

  • Required runtime env: API_BASE_URL (defaults to http://localhost:3001 if not set).
  • Stdio startup command: npm run start:stdio.
  • Expected MCP tools in current phase:
    • repo_index_status
    • repo_search
    • review_start
    • review_status
  • For local deployment rehearsal, run npm run e2e:local before publishing to preview/staging.

Quality and Safety Requirements

  • All tool contracts validated via shared schemas.
  • Allowlist-based tool dispatch.
  • Audit logging for every tool invocation.

from github.com/surajrsawat/ai-devtool-mcp-server

Installing Ai Devtool Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/surajrsawat/ai-devtool-mcp-server

FAQ

Is Ai Devtool Server MCP free?

Yes, Ai Devtool Server MCP is free — one-click install via Unyly at no cost.

Does Ai Devtool Server need an API key?

No, Ai Devtool Server runs without API keys or environment variables.

Is Ai Devtool Server hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Ai Devtool Server in Claude Desktop, Claude Code or Cursor?

Open Ai Devtool Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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