"Using llama.cpp and Searxng with local models" matching MCP servers:

Enables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.

55 Concordance-tested financial models with published specs; responses cite assumptions and sources.

Provides read-only access to your local Zotero library via the Zotero Local API, enabling search, retrieval, and bibliography generation without API keys.

Enables users to search Korean local government project, plan, and budget documents through AI apps, compare cases across municipalities, and check planning, budget, and support conditions against original-source citations.

将akshare、yfinance、wbgapi、arxiv等免费公开接口封装为4个标准MCP工具，使支持MCP的智能体无需第三方账号和云额度即可直接查询金融市场、宏观经济和学术论文数据。

Enables AI assistants to search, browse, and cite a local Zotero 7 library with zero configuration and no API key, keeping all data on the user's machine.

A local CrossRef database MCP server enabling full-text search across 167M+ scholarly works, citation analysis, and impact factor retrieval without rate limits or internet dependency.

Enables searching and viewing 1.89 million entries of the Seungjeongwon Ilgi and 380,000 articles of the Annals of the Joseon Dynasty from a local PostgreSQL database via Claude Desktop.

Enables AI assistants to read, search, and fully manage a Zotero library locally—organizing collections, editing items, uploading files, and managing notes, tags, and trash—through the local Zotero API without cloud sync.

A read-only MCP server that lets LLMs explore and query local SAS datasets (.sas7bdat / .xpt) without Viya, network, or SAS licensing. It exposes tools for listing, metadata inspection, summarization, frequency tables, value-label decoding, paginated reads, DuckDB SQL joins, and cross-dataset variable search.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables MCP-capable agents to securely manage a local Zotero library through a plugin-hosted MCP endpoint, supporting read, write, search, and import/export operations with safety workflows like dry-run and approval.

Enables AI agents to browse, search, and retrieve papers from a local research library with read-only access, supporting multiple formats and automatic indexing.

Enables AI assistants like Claude to query, analyze, and summarize local SQLite e-commerce databases using natural language through 11 tools, schema resources, and pre-built analytical prompts.

Give AI agents cited funding, money-market, FX and capital-market evidence through 16 public MCP tools. Keep source dates, freshness checks and coverage gaps attached; China macro coverage is metadata-only. No API key is required for the public surface. Research context only; no trade execution.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

Custom MCP server for NotebookLM that adds audio source upload, YouTube source ingestion, source readiness polling, and transcript export, complementing standard Q&A and audio overview tools.

Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.