"Enhancing Markdown (.MD) file editing capabilities" matching MCP servers:

Evidence linting for AI answers: flag broken references, unmatched quotes/numbers and evidence gaps before human review. Local Python/stdio: 32 tools. Hosted Output Verification has a separate MCP catalog: https://output-verification.agendamcp.dpdns.org/mcp/agent. Start free with a saved synthetic example at https://output-verification.agendamcp.dpdns.org/. No factual-truth certification.

Enables querying tables from Moldova's National Bureau of Statistics via PxWeb, supporting metadata lookup and data retrieval.

Enables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.

A high-performance MCP server for the USPTO Patent File Wrapper API with context reduction, smart field mapping, and secure browser-accessible downloads.

Local Node/TypeScript MCP server for read-only Chatwoot analytics, providing tools to list accounts, scopes, cache sync status, and conversation volume metrics.

An MCP server that enables the analysis of CSV and Parquet files by providing tools for statistical summaries, data previews, and structure exploration. It allows users to query local datasets and create sample data using natural language.

Enables local folder analysis of unstructured documents (PDF, DOCX, PPTX, TXT, SVG, PNG, CSV, XLSX) by extracting structure, reading content, and generating reports, with a strict approval gate before any save operation.

Converts documents (PDF, DOCX, XLSX, PPTX, HTML, TXT, MD) to Markdown and stores them locally with search and retrieval capabilities.

An interactive MCP server for FAIRChem and ASE simulations that allows LLM agents to load a model once and steer relaxations, MD, NEB, phonons, and minima searches mid-flight, with live monitoring and code introspection.

The ArXiv MCP Server bridges the gap between AI models and academic research by providing a sophisticated interface to arXiv's extensive research repository. This server enables AI assistants to perform precise paper searches and access full paper content, enhancing their ability to engage with scientific literature.

A TypeScript MCP server for interacting with CDISC Define-XML 2.0 and 2.1 files, enabling users to load, search, and retrieve clinical data metadata including datasets, variables, and codelists. It supports local file processing with document caching and provides responses in both JSON and Markdown formats.

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.

Headless PyMOL for molecular visualization, GROMACS/LAMMPS MD trajectories, and clathrate-hydrate cage analysis: H-bond networks, F3/F4 order parameters, and TRACE cage perception + occupancy.

An MCP server that logs AI-assisted scientific computing sessions, capturing prompts, responses, decisions, and environment snapshots to human-readable markdown files for reproducibility.

A Model Context Protocol (MCP) server enabling Claude to read, write, search, and analyse your Obsidian vault with advanced research capabilities.

Enables MCP clients to access quantitative investment research, factors, strategies, and portfolio capabilities through the official SKZ CLI.

Enables fetching patents from multiple global sources by patent ID, returning PDF, Markdown, and metadata with automatic caching.

Enables AI agents and workflows to safely explore and query data in ephemeral sandboxed databases via MCP, with guardrails and snapshot capabilities.

A Model Context Protocol server that provides DLIS (Digital Log Interchange Standard) file analysis capabilities. This server enables LLMs to extract information from DLIS files, including channel data and metadata, with support for hierarchical data structures.