"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP servers:

Lets AI agents check remaining MiniMax Token Plan quota and automatically pause themselves before hitting rate limits.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

A secure MCP server for interacting with GitHub issues, pull requests, repository files, and search, supporting both github.com and GitHub Enterprise Server.

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

Self-hosted GitHub MCP server for PR, repo file, and Dependabot operations, supporting multiple MCP clients with personal access token auth.

MCP server for the GitHub REST API: issues, PRs, repos; read always on, write env-gated.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

A minimal MCP server that exposes a focused set of GitHub PR review tools to AI agents, enabling PR listing, detail retrieval, comment viewing, and thread management.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

Enables LLM clients to list, read, review, and comment on GitHub pull requests, turning an AI assistant into a fully capable code reviewer.

A GitHub MCP server enabling repository, issue, and pull request management through natural language, built on octokit.js and the MCP TypeScript SDK.

MCP server that exposes GitHub operations as tools for AI agents, enabling code search, issue management, and PR review.

Runs a task through 3 parallel AI models (China or USA preset) and returns concise responses for Claude to synthesize.

A minimal MCP server for GitHub that enables browsing repos, reading code, searching, and getting insights through natural language via Claude, Cursor, or any MCP client.

Provides GitHub API tools (repo info, open PRs, latest release) via FastMCP, easily run with uvx.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

A Model Context Protocol server that provides 29 Git operations and advanced workflows, enabling AI assistants and developers to safely manage version control.

Universal work attestation for autonomous agents. Register any AI agent or machine with persistent cryptographic identity, attest completed work with tamper-evident on-chain records, and query trust scores. The reputation layer for the agent economy. 3 MCP tools over SSE. Settled on Solana.

Enables assistants to read-only explore and analyze Grafana dashboards and data sources, execute queries against Prometheus and Azure Log Analytics, and run guided investigation workflows.