@gpriday/techlead-mcp

@gpriday/techlead-mcp

A read-only MCP server providing structured code planning and review tools (techlead.plan and techlead.review) with multi-provider routing and cost estimation.

Category
Visit Server

README

TechLead MCP

@gpriday/techlead-mcp is a read-only MCP server that gives coding agents two structured tools:

  • techlead.plan
  • techlead.review

It supports local stdio mode, uses provider-side structured outputs, and can route across OpenAI, Anthropic Claude, and Gemini.

Each tool response includes the structured plan/review, provider token usage when returned by the API, and an estimated USD provider cost derived from the configured per-model pricing catalog. Provider billing dashboards remain authoritative.

Install

npm install -g @gpriday/techlead-mcp

Configure

Create a .env with at least one provider key:

OPENAI_API_KEY=
ANTHROPIC_API_KEY=
GEMINI_API_KEY=

Optional config:

techlead-mcp init

Optional GitHub issue task source:

TECHLEAD_GITHUB_TOKEN=github_pat_or_fine_grained_token

Then callers may omit task and provide:

{
  "cwd": "/repo",
  "githubIssue": {
    "repository": "owner/repo",
    "issueNumber": 123
  },
  "files": []
}

The server reads the issue body and issue comments through the GitHub REST API and uses that text as the task.

Optional cheap-model router:

TECHLEAD_OPTIONAL_LLM_ROUTER=true
TECHLEAD_ROUTER_PROVIDER=openai
TECHLEAD_DEFAULT_MODEL_TIER=balanced

When enabled, the router model receives the resolved task text, including GitHub issue text when githubIssue is used, plus context size and risk signals. It may choose OpenAI, Anthropic, or Gemini for the actual plan/review call, but deterministic safety rules still force max-tier routing for auth, security, migrations, data loss, failing tests, and similar high-risk work.

Run

techlead-mcp serve
techlead-mcp models

TechLead MCP is stdio-only because it is designed to run next to the repository and read safe files under configured local roots. By default, local reads are restricted to the process working directory. Do not run the server from a sensitive parent directory.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured