"Rewriting or modifying Debian packages" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables AI coding agents to verify, compare, and safely upgrade npm packages by scoring packages from public signals and sandboxed co-installation, detecting breaking API surface changes, and rewriting code that upgrades break.

Enables resume review against job descriptions through a three-stage pipeline: match scoring, experience rewriting, and ATS optimization. Supports text or document uploads.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

Enables reranking documents by relevance to a query through a Cohere-compatible API, so existing rerank code drops in with only a base_url change. Calls are pay-per-call in USDC via x402 or covered by a free daily tier, with no account, GPU, or model download needed.

MCP server that packages DeepSeek agents as callable tools, offering a bare model for quick Q&A and a full agent capable of executing real coding and file-modifying tasks in a workspace.

Enables AI agents to receive a structured verdict on whether a UI component need can be satisfied by existing shadcn/ui or 21st.dev components or requires a custom build, with coverage scoring against real component evidence and a Mobbin reference when needed.

Enables coding agents to submit their original request, proposed plan items, and observed repository conventions for per-item necessity scoring before making edits. It returns advisory keep, simplify, or review recommendations with reasons and evidence, without blocking or modifying the plan.

Enables document parsing into structured, confidence-scored fields via the scan tool, working with any MCP host like Claude Desktop or Cursor.

Official MCP server for Algenta, a local-first AI engine powered by Mojo CPU/GPU kernels, 525+ Mojo libraries and 6,000+ compiled functions. Governed data discovery, exact queries, decisions, simulations, persistent decision memory and agent runs with approvals and execution receipts. Runs on your infrastructure. Source: packages/mcp/algenta_mcp. Install: pip install algenta-mcp (stdio).

A read-only MCP server that gives AI agents access to Sparx Enterprise Architect models, enabling search, navigation, and reading of elements, packages, scenarios, and connectors from .qea exports without a running EA instance.

Allows Claude Code to request an independent code review from Google Antigravity (Gemini, Claude, or GPT-OSS) via the Antigravity CLI, providing a second opinion on plans or diffs.

Enables MCP agents to evaluate content against typed questions (yes/no, choice, or score) in a single parallel call.

Turn a sentence into an image or a short video on your machine.

Routes questions to multiple AI models (local and cloud) and synthesizes their answers in individual, categorized, or deconflicted modes.

A thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.