"Adding functionality to large language models" matching MCP servers:

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

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables mathematical computation via Wolfram Language/Mathematica integration, supporting calculations, equation solving, calculus, matrix operations, and symbolic mathematics.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

An MCP server that gives AI assistants complete, safe access to your Zotero library for searching, citing, adding papers, and formatting bibliographies, with local-first privacy.

MCP server with full coverage of the Gramps Web API REST endpoint functionality. Super-powers for your genealogy research with the help of AI.

Enables real-time queries and large-scale data collection from X (Twitter) and Reddit via the Model Context Protocol, powered by Bittensor's Data Universe.

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

Enables direct interaction with FamilySearch.org's shared Family Tree and historical records, including reading and adding people, facts, relationships, sources, notes, memories, record search, and image downloads, without needing a browser.

A headless, natural-language-driven automated modelling workflow for MIKE+, enabling users to inspect models, change parameters, run simulations, and analyze results without the MIKE+ GUI.

Enables LLM-powered tools to interact with Zotero academic libraries, including searching papers, adding arXiv papers, updating metadata, and generating literature reviews.

Enables AI assistants to fetch intrinsic valuations and screen US equities using CirclFi's institutional-grade valuation models.

Enables AI assistants to solve linear, nonlinear, and integer optimization models with a locally installed LINGO 11 solver and read the results back as structured data — status, objective, variable values, reduced costs, row slacks, and dual prices. It also runs arbitrary LINGO command-window analyses, reports the detected installation and license status, and lists the bundled sample models, correctly flagging infeasible or unbounded models instead of inventing an optimum.

Enables AI assistants to search, query, and analyze CMS healthcare datasets from data.cms.gov, supporting features like dataset discovery, filtering, and CSV download for large-scale analysis.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

Dense Knowledge is a small local server for Model Module Protocol (MMP) files. It gives language models a persistent research memory without requiring a database, embeddings, or a hosted service.