"How to work with local files" matching MCP servers:

Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.

MCP server for local transaction signing across EVM, UTXO, Tron, and XRP blockchains, with no network calls or API keys required.

Provides access to Upvote.club public API via stdio, enabling task creation, status checking, platform listing, and API reference queries.

Remove vocals, extract instrumentals, and split any song into up to six stems — directly from Claude Desktop, Cursor, or any MCP client. Supports local audio files, YouTube URLs, and SoundCloud track

Translate Python between English and your language, with round-trip verification. Pack-based and reviewed, not model-guessed: translate files both ways, look up how terms render, check identifier names, and report how legible a codebase is in a language, all locally with uvx legesher-mcp.

Unified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

A fail-closed MCP server for Msty Studio on macOS that provides read-only diagnostics and an optional bounded local-generation tool, without accessing chats, keys, or configuration.

Enables AI agents to coordinate work and ticketing over MCP through five tools for checking status, querying items by ID, field, topic or receipt, writing batched changes and links with revision expectations, reviewing proposals, and rendering shareable pages. Supports JSON output for structured data and idempotent requests for safe retries.

Generates, validates, and deploys CrowdSec WAF rules and scenarios through natural language.

Enables local MCP clients to work with cattle and sheep farm records, including animals, groups, health and movement records, birth events, tasks, and read-only farm memory.

Lets local MCP clients use one LightNow-managed MCP entry instead of storing every MCP server configuration and secret in every client.

Local MCP server for Kiubi graphic theme integration, exposing tools for documentation, theme introspection, and static file validation to AI agents like Claude and Cursor.

Enables AI agents to search live directory data for local US card shops and upcoming card shows by coordinates or city/state, returning distance-sorted results with addresses, games, services, ratings, and dates. It also reports which US states are covered and how many shops each contains.

Enables users to schedule 90-minute ultradian focus blocks, triage incoming interruptions against contact priority thresholds, and capture execution checkpoints for instant resumption.

MADE coordinates auditable human-agent procedures with work claims, review gates, approvals, and resumable sessions. Its local MCP server uses SQLite.

Enables AI assistants to work with local files and data through MCP, including merging, splitting, extracting, rotating, and inspecting PDFs; converting Markdown to PDF; generating QR codes; formatting and validating JSON and SQL; analyzing text; converting colors; and explaining cron schedules without sending files off the computer.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

An MCP server that provides AI tools with relational tech principles, patterns, and the Studio library to guide builders in creating community-centered tools using embedded design.

Enables AI agents to claim, heartbeat, submit, split, park, and resume atomic work-queue tasks, with fencing tokens and receipts, while storing and versioning records and content-addressed files through MCP.

Exposes the full Gate API v4 to MCP clients with 384 tools for spot, futures, margin, wallet, and more. Supports both public endpoints (no auth) and authenticated trading operations.

Enables AI agents to securely interact with IBM OpenPages GRC platform through a standardized interface, supporting CRUD operations on objects like issues and controls.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Enables AI assistants to check proposed actions against a local ledger of previously ruled-out work, receiving graded alerts with prior verdicts to avoid repeating dead ends.

Enables an agent to validate Tick work orders, inspect their instructions, repository/base, territory, checks, budget, deadline, and acceptor, rehearse delivery against the order's checks, and verify receipt signatures and roles before handing in work.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

Enables AI assistants to search and retrieve content from Bucketeer's feature flag and experimentation documentation for accurate information.

Enables AI agents to sign Geode blockchain transactions on the user's own machine, with keys that never leave it, by independently decoding and verifying each server-prepared transaction before approving it. Refuses anything outside allowed Geode app actions or beyond the configured per-transaction, daily, and storage-deposit GEODE limits.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.