"Exploring the term 'Make' or related resources" matching MCP servers:

Enables MCP clients to read bounded workspace files, validate exact replacement plans for the VS Code extension, and check recent typing progress without modifying source or running shell commands.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.

Enables AI coding agents to persist structured long-term memory (gotchas, architecture, API notes) in a .context folder and sync across devices and agents via Git.

Enables AI agents to inspect PDFs, merge or extract pages, and clean text entirely offline through the Model Context Protocol, with no uploads, API keys, or network calls.

local-first long-term memory for MCP agents (no DB, no API keys)

An MCP server that provides LLMs with full read/write access to an Open Knowledge Format (OKF) knowledge bundle, enabling structured, persistent long-term memory.

Gives an AI agent a durable, private long-term memory hosted on the user's own Keephaven box, letting it write, read, list, search and delete notes and append to an immutable journal. Each agent is isolated to its own token-protected folder with quotas, read-only mode and instant revocation.

Local file tools for agents. Read and convert documents (DOCX, PDF, HWP, HWPX, EML), edit PDFs, resize and clean images, cut out backgrounds, make QR codes. Nothing is uploaded.

Provides filesystem, web search, SQLite, and system tools for AI assistants like Claude, enabling secure access to local resources and the web.

Gives mobile AI assistants a real local command-line workspace and manages Cloudflare resources (Pages/D1/KV/R2) via REST or wrangler, with credentials remaining on-device.

Enables AI assistants to search and retrieve content from local Markdown notes using term-frequency scoring.

A Model Context Protocol server for exploring and analyzing CSV files, providing tools for inspection, sampling, schema inference, statistics, filtering, and more.

Enables AI coding agents to audit and sweep away transient scratch directories, bloated test caches, and forgotten probe scripts in a workspace, with dry-run previews to guarantee nothing tracked or production-related is touched. It also detects zombie background dev servers still holding common ports like 3000, 5173, and 8000.

Enables users to read, search and edit GEDCOM (.ged) family-tree files from Ancestry.com and other genealogy software, letting an MCP client navigate relationships, explore ancestor and descendant trees, inspect sources and citations, and make safe, lossless edits that are written straight back to the file with a backup.

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

Provides tools and resources for managing in-memory documents, allowing users to read, edit, and list document contents via the Model Context Protocol. It includes features for formatting documents to Markdown and accessing document-specific resources.

Enables triage, installation validation, and controlled automation of X-Ways Forensics and related tools through structured MCP tools for agents.

A Model Context Protocol server that converts various file formats (PDF, PowerPoint, Word, Excel, Images, etc.) to Markdown to make them accessible to LLMs.

Saves the image currently on the system clipboard to a file (PNG or JPG), enabling AI agents that cannot access the clipboard to use clipboard images.

Enables AI assistants to analyze KTuner datalogs, check logged runs, and propose or write safe ECU table edits into a new .kcl tune file for review and flashing in KTuner. It helps identify knock, fuel, and ignition timing changes without flashing the car or altering the original tune file.

Gives AI apps a shared, plain-folder memory on your own machine, so whatever you tell one model the others can read, and you can inspect, review and undo every change they make. Memory stays portable across vendors, models and account changes instead of living on a provider's servers.

Exposes the full Java Edition block and item registry as MCP resources and provides tools to look up, read, and place blocks (including block states) across simulated Overworld, Nether, and End dimensions. World edits are persisted per dimension, so builds survive restarts and can be inspected through dimension resources.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

Enables Claude Code and Codex to save and retrieve local, editable Markdown-based long-term memory, including durable preferences, decisions, and lessons with source, line, revision, and date provenance.

Enables slicing 3MF projects with a local Bambu Studio installation and exploring the resulting toolpaths, layers, print times, and filament usage in an interactive 3D viewer inside ChatGPT.

Enables ChatGPT to inspect selected local projects, make edits, run commands/tests, and review diffs through an authenticated MCP endpoint backed by a containerized workspace.

Enables filling any PDF form, including scanned or AcroForm, through a browser-based drag-and-drop editor. Works entirely locally with no data leaving the machine.

Enables MCP hosts to query and maintain a shared, local-first long-term memory stored as plain markdown files, with budget-aware recall and gated writes. It supports auditable recall and write receipts, failing closed when writes violate trust, deduplication, or destructive-change rules.

Provides tools for AI agents to manage long-term memories, daily notes, and TODO lists through a structured markdown file system. It enables context awareness by allowing agents to read, write, and search entries for persistent information storage.