"Steam Deck" matching MCP servers:

Enables coding agents to search a locally indexed repository and get back a token-budgeted deck of ranked code and doc snippets instead of a full-tree grep dump, with lexical, semantic, and prose-answering modes plus index status reporting. Runs fully offline for lexical queries and optionally uses an OpenAI-compatible provider for semantic or ask modes.

Exposes roughly forty tools over streamable HTTP so AI assistants can search an archive of sourced evidence, time series, forecasts, slides and datasets, reuse existing material with its citations, and write new sourced findings back. It also covers slide and deck management, feedback, photo and dataset access.

MCP server for Yu-Gi-Oh! card data, providing cards, prices, banlists, rules, rulings, relations, and deck tools via a local SQLite database with semantic search.

Enables AI coding assistants to query and store a team's historical development experience through semantic search, so lessons and decisions persist across conversations.

An MCP server that acts as a bridge to query multiple OpenAI-compatible LLMs with MCP tool access. Just like rubber duck debugging, explain your problems to various AI "ducks" who can actually research and get different perspectives!

Enables interaction with the RAGFlow API to manage knowledge base datasets and conduct AI-driven chat sessions. Users can list datasets, create chat assistants, and retrieve or query information from specialized knowledge bases.

A production-grade MCP server for integrating RAG into AI agents, supporting multiple vector databases with enterprise security and dynamic tool selection.

Enables GPT-5 inference via OpenAI API with configurable reasoning effort, verbosity levels, and optional web search integration. Supports per-call parameter overrides for flexible AI model interactions through MCP.

Provides a local-first memory layer for coding agents, storing principles, rules, and corrections on-device and surfacing them at the moments they apply so agents act on the intended outcomes without sending data to the cloud.

Desk by Ouroboros Apps (https://ouroborosapps.com). Customer support policy for assistants: approved support answers, refund rules, and escalation limits read before replying; unapproved promises go to human review. Connect by pasting https://desk-mcp-continuity2.vercel.app/mcp into Claude, Cursor, Grok, or ChatGPT developer mode (OAuth). Docs: https://ouroborosapps.com/docs/desk

Enables AI assistants to search internal knowledge bases, create Confluence articles, file Jira tickets, and look up Okta users, with guardrails and streaming support.

Local MCP server exposing the dek-memory hybrid memory engine over stdio, with optional ChatGPT tools for managing account memories via a browser profile.

An MCP server for team documentation and knowledge bases, enabling semantic search over documentation files using local embeddings.

A Model Context Protocol server that provides safe, intelligent read/write access to NetBox instances, designed with safety-first principles for Large Language Model automation.

Enables chat agents to generate workspace and corpus briefings through MCP tools backed by real brief backends. It can analyze any GitHub repository or offline sample and local .md/.txt corpora.

A demonstration server for the Model Context Protocol (MCP) that exposes calculator and Yahoo Finance tools, allowing LLMs to interpret natural language requests and make tool calls via the MCP standard.

Enables AI assistants to manage structured research ideas and retrieve recent arXiv papers by idea ID, automatically generating Markdown reports.