"Files" matching MCP servers:

Enables browsing Hedra's model catalog and managing AI generation jobs, including submitting, polling, and uploading files, through MCP clients.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Enables OpenAI Codex to consult Claude Code for co-analysis, adversarial second opinions, and read-only file review over the Model Context Protocol, with Claude remaining advisory and unable to modify files.

Enables MCP clients like Claude, Cursor and VS Code to parse resume files into structured JSON, turn job descriptions into weighted criteria, score and rank candidates against a job, and normalize free-text skills to a standard taxonomy. Each tool call uses one HireLayer credit, with a free monthly allowance.

Enables AI assistants to transcribe audio files using dTelecom's real-time speech-to-text with pay-per-use USDC micropayments, no API keys required.

Enables image analysis using any OpenAI-compatible vision API, supporting URLs, local files, or base64 input with custom prompts.

Automatically converts PDF, DOCX, XLSX, and CSV files to clean markdown when read by Claude Code, reducing token usage by up to 98%.

Enables coding agents to generate and edit images using Gemini and OpenAI image models, saving files directly into the project with configurable providers, models, and security restrictions.

Enables AI assistants to audit websites for AI-readiness, generate AI-optimized robots.txt and llms.txt files, and create VibeTags for emotional AI brand resonance.

An MCP server for counting tokens in text or files using model-specific tokenizers, and reporting file metrics like lines, characters, and size.

Enables MCP clients to send raw text prompts to inexpensive LLM models via the Devin/Windsurf backend, returning answers in result files to avoid context bloat, with support for multi-turn sessions and model discovery.

Enables text-only LLMs to analyze images by sending files, URLs, or data URIs to a separate OpenAI-compatible vision model through a single MCP tool.

Enables a local STDIO MCP client to submit tasks to your own Notion personal AI chats, resume reading results by job ID after timeouts or disconnects, and send follow-up corrections in the same thread. Full long-form answers, code files, and SHA-256 hashes are saved to local files so complete outputs can be retrieved rather than just short previews.

MCP server for Claude Code that enables image generation and editing via Azure AI Foundry's MAI Image API, writing files to disk and returning only the path.

Enables translation of Excel files using Claude AI while preserving formatting, formulas, and data integrity.

Enables MCP-compatible clients to generate images via the Agnes API and manage local image utilities, including downloading images from secure URLs and validating local image files.

Enables LLMs to analyze images via OpenAI-compatible multimodal models, supporting local files, base64, and URLs with safety validation and model selection.

Enables audio transcription to multi-instrument MIDI files using MuScriptor, supporting local files and HTTPS URLs with safety controls.

Enables MCP clients to generate videos from text prompts or source images through Google's Gemini API, poll render jobs, and save MP4 files to disk. It also lists available video models.

Enables local AI agents to upload photos, start image-to-3D generation jobs on pictostl.com, monitor task progress, and download the resulting GLB or STL mesh files for visualization and 3D printing.