"Informational MCP Servers with Croissant Dataset Format Support" matching MCP servers:

An MCP server that acts as a governed customer-support tool, resolving questions only when the knowledge base supports a cited, grounded answer and honestly escalating everything else with provenance and evidence.

Provides a therapeutic interface for LLMs to receive emotional validation and positive reinforcement when encountering challenges or limitations. It features multiple personas like mentors and therapists to offer cognitive reframing and personalized support through a dedicated tool.

Enables AI agents to check order statuses, retrieve FAQ policy answers via RAG, and create/manage support tickets, all based on the e-commerce support workflow in the repository.

A Model Context Protocol server that exposes multiple AI tools over SSE transport with JWT-based secure authentication, allowing for dynamic tool registration and session management.

Provides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.

Production-ready MCP server that integrates OpenAI API with extensible tool support, enabling dynamic plugin loading and knowledge search capabilities through multiple interfaces including CLI and browser UI.

Enables chat with multiple LLM providers (OpenAI and Anthropic) while maintaining persistent conversation memory. Provides extensible tool framework for various operations including echo functionality and conversation storage/retrieval.

A Model Context Protocol server that enables remote connections with GitHub authentication, allowing users to build applications that leverage MCP tools with secure OAuth-based access control.

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.

Enables AI-powered resume scoring and feedback through secure Google OAuth authentication. Provides FastAPI endpoints for resume evaluation with plans for leaderboard visualization and competitive scoring features.

A server that connects Unity with local large language models through Ollama, enabling developers to automate workflows, manipulate assets, and control the Unity Editor programmatically without relying on cloud-based LLMs.

Implements a Model Control Protocol server integrated with Google Gemini LLM, providing a flexible framework for building AI-powered applications.

Enables an LLM to dynamically discover and invoke external tools through the Model Context Protocol, using Google Gemini to select and execute the appropriate tool and generate a final response.

Enables structured, iterative reasoning for complex problem-solving with features like confidence tracking, revision mechanisms, and branching support. Provides flexible validation and multiple output formats for systematic analysis and decision-making tasks.

Enables coding agents like Codex to use the ChatGPT web app as a planning and review brain, letting ChatGPT read only needed code via OAuth MCP and submit locally authorized tasks without API keys or repository uploads.

A Cloudflare Workers-deployed MCP server that provides secure remote access to MCP tools through GitHub OAuth authentication. Includes example tools for basic math operations, user info retrieval, and image generation with configurable user access controls.

Connects Claude Code, Codex, Cursor, and other coding agents to a project's idea, feature topology, and ordered task queue over MCP, so they can answer planning jobs, claim, build, and tick off implementation tasks live in your repository, or assemble a shareable PRD.

Enables Claude to interact with Zepto's live quick-commerce platform through natural language, exposing tools to browse order history, resolve saved addresses, search store inventory, update the cart, retrieve payment methods, and place two-phase confirmed orders with autonomous recovery from store-routing errors.

A drop-in MCP server implementation for Next.js projects using Vercel MCP Adapter, allowing developers to integrate model context protocol functionality with custom tools, prompts, and resources.

A multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

A simple Nuxt application that serves as a Model Context Protocol server deployable on Vercel, allowing developers to implement AI tools, prompts, and resources through the MCP TypeScript SDK.

A complete ChatGPT App implementation using MCP with OAuth2 authentication via Privy.io, enabling secure user authentication and interactive widgets rendered in ChatGPT.

An example MCP server that allows remote clients to connect and authenticate using WorkOS AuthKit, providing organization-centric authentication with permission-based access control for tools.

A Model Context Protocol server that supports remote connections and authenticates users via GitHub OAuth, allowing them to access tools based on their GitHub identity.

A server exposing intelligent tools for enhancing RAG applications with entity extraction, query refinement, and relevance checking capabilities.

Durable, agent-native AI runtime with native MCP client and server support. Rust core for performance with Python SDK for workflow authoring. Features graph-based workflows, durable execution, A2A protocol support, and multi-agent coordination.

Provides advanced analytical, research, and natural language processing capabilities through a Model Context Protocol server, enabling dataset analysis, decision analysis, and enhanced NLP features like entity recognition and fact extraction.

Provides a tool for dynamic and reflective problem-solving by breaking complex problems into manageable steps with support for revision, branching, and hypothesis generation.

An AI agent task management system that provides structure and visualization for long-term task planning with support for the Model Context Protocol (MCP) standard.

Enables AI agents to connect to the NeuralForgeAI cluster for inspecting and controlling YOLO training jobs, including launching, monitoring, canceling studies, and verifying dataset paths.