"markdown" matching MCP servers:

Enables AI coding agents to discover, convert, and synchronize Draw.io C4 and UML diagrams into Mermaid Markdown, providing architectural context and guardrails during chat sessions.

Converts Markdown files into professional diagrams such as flowcharts, mind maps, and architecture diagrams using Mermaid.js and custom SVG renderers. It enables users to list, render, and export visualizations in multiple formats including SVG, PNG, and PDF.

Gives terminal coding agents a local browser canvas for rendering charts, tables, metrics, markdown, live widgets and sandboxed MCP App UIs that would otherwise reach them as raw JSON. Lets agents pose blocking visual multiple-choice questions and read back the user's clicks, selections and an animated architecture map of file activity.

Enables coding agents to export Markdown implementation plans and audits into pixel-perfect PNGs, PDFs, and self-contained HTML files, with code highlighting, Mermaid diagrams, and GitHub callouts preserved.

Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.

Enables coding agents to record, search, and supersede ADR-style decisions and machine-checkable constraints stored as git-friendly markdown in a repository, linked to SpecGate requirement ids, tests and commits. It also surfaces the relevant constraints and decisions for a task and checks a proposed change or diff for conflicts before it is committed.

Enables coding agents to generate software engineering documents — PRD, SRS, ERD, SDD, design spec, traceability matrix, and agent instructions — as Markdown so they build from written specifications instead of guessing. Unsupplied inputs are marked [NOT SUPPLIED] or UNMAPPED rather than filled with invented data.

Enables managing Architecture Decision Records by showing the ADR directory, listing existing ADR files, and generating new ADR markdown stubs via natural language.

Enables creating and maintaining technical diagrams from .dot sources, with validation, rendering to SVG/PNG/PDF, and publishing into Markdown while automatically partitioning oversized graphs.

Enables AI agents to plan software collaboratively with humans by creating and editing graph structures over MCP, then exporting them as Markdown trees and Obsidian Canvas files.

Enables AI coding agents to compile polyglot repositories into architectural mipmap containers and use stateful pre-edit guardrails, fog-of-war resolution gating, blast-radius analysis, and compact Markdown packets to inspect code and prevent unsafe edits.

Enables creating, manipulating, and managing Mermaid diagrams with automatic saving and multi-format conversion from JSON, CSV, Python, Markdown, and plain text.

An MCP server that turns a folder of Markdown ADRs into live tools for AI agents: search, author, validate, link, and trace architectural decisions, with preview-by-default writes.

Enables MCP clients to create, list, and read numbered Markdown Architecture Decision Records, and to review designs against pluggable domain rule packs (general, insurance, banking, healthcare, agentic AI) that return PASS/FAIL/UNKNOWN verdicts with evidence. Supports custom rule packs supplied via a local directory of YAML files.

Enables capturing and storing AI coding decisions as markdown, and provides MCP tools for assistants to query and record those decisions so they respect past architectural choices.

An MCP server that turns an AI coding agent's plan into an interactive wireframe canvas inside the IDE, letting users drag nodes, draw connection lines to reorder steps, and pick answers instead of confirming tasks through plain text. It returns the confirmed scheme as linearized JSON plus a Markdown summary piped straight back into the IDE conversation, with no copy-pasting.

Retrieves architectural information from ArchiMate models, enabling AI coding assistants to access architectural context during the software development lifecycle. Supports search and retrieval of views and elements in markdown, JSON, or YAML.

Enables Claude and other MCP clients to create, read, edit, search, share, and export boards, diagrams, tasks, wireframes, mind maps, tables, and Markdown docs through an OAuth-secured endpoint.

Enables AI assistants to generate sequence diagrams from textual descriptions using Swimlanes.io, producing markdown documentation with embedded images.

Analyzes TypeORM entity source files offline to produce schema graphs, ERD diagrams, Markdown documentation, and missing-documentation audits. Enables AI clients to understand database schema without a database connection.