"Writing about MCP" matching MCP servers:

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.

MCP server offering text analysis tools for writing improvement, including spellcheck, readability, keyword analysis, passive voice detection, and AI-generated content detection.

Enables agents to get fast, calibrated probabilistic answers from Jev (Typesafe AI) to yes/no, scale, or choice questions about provided material, without using a generative model.

Enables AI agents to fetch TOEFL iBT Writing practice prompts and score written responses via the Reach120 practice API, returning automated practice scores and rationales.

Generate and edit images with GPT Image 2.5 for $0.029 each, inside Claude, Cursor or any MCP client. A free you.bot API key comes with 50 credits (about 17 images) and needs no card.

Two self-hosted MCP servers: manage a local model machine (Ollama pull/switch, LoRA training) and bridge to local Ollama/vLLM for pure language processing tasks (writing, summarizing, classifying, extraction) without giving the calling agent tools or file access.

Enables AI assistants to rewrite AI-styled English prose into more natural human writing, with tools for humanizing text and retrieving information about the underlying model.

Lets MCP clients ask typed questions — yes/no, choice, or score — about structured state, including images, and receive calibrated probabilities from System One decision models such as TypeSafe Jev and Cloudflare Clef. Supports TypeSafe, OpenRouter, and local providers selectable per request, with input validation and cost reporting.

Enables fast, probability-calibrated judgments about text, JSON data, or images by exposing Ollama's decision endpoint through a single decide tool. Supports label choices, yes/no probabilities, and ordered scores, with multiple questions batchable per call.

Enables AI agents to analyze videos from page URLs, direct media URLs, or local files and return structured answers about visible content, speech, on-screen text, and timelines.

Provides AI agents with structured knowledge about 67+ generative AI models, including model recommendations, prompt formatting, parameter guidance, and validation. It acts as a prompt engineering co-pilot that helps agents use their existing tools more effectively.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

Gives AI assistants read access to SDLC project artifacts stored in Supabase, enabling natural language queries about projects, artifacts, screens, and tech stacks, with optional IT cost estimation via Vertex AI Gemini.

Enables AI-assisted aquaculture manuscript writing through six specialized agents for literature review, drafting, results, abstract, copyediting, and integrity checks, all accessible from MCP-compatible chat clients.

Enables startup protection checks directly from your editor, analyzing clone risk, defensibility, and patentable features in about 2 minutes.

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.

An MCP server that lets Claude Code delegate coding tasks such as code generation, review, refactoring, and test writing to a local Ollama instance running a Qwen3 model.

NocturnusAI sits between your agent and the LLM. It extracts facts, reasons about what's relevant, and returns only what changed optimizing your token usage, saving you costs.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

Claude Code plugin and MCP server that has a cheap model, DeepSeek V4.1 Flash, review Claude's code for bugs and give second opinions, for under a cent each. Claude keeps writing the code; an optional savings mode delegates well-specified coding work.

Enables coding agents to request calibrated probability judgments over typed questions—yes/no, named choices, or ordered scores—about a described situation, returning one probability per option rather than free text. Runs Cloudflare's Clef model locally on Apple Silicon Macs, with images or video frames optionally attached, and answers delivered as a single MCP tool call.

Enables coding agents to rewrite neutral Vietnamese drafts in the user's personal voice before writing commit messages, PR/issue comments, or chat messages, while preserving conventional-commit prefixes, trailers, and code spans through guard checks.

Enables teams to measure their actual ticket-writing style from GitLab, Jira, or GitHub and check new or draft tickets against that learned house profile, with optional model-backed drafting.

Enables MCP clients like Claude Code, Claude Desktop and Cursor to search a StarCraft II knowledge base, upload replays, and get AI Coach reports on games. Users can also ask follow-up questions about a coached replay, with mineral costs gated behind explicit confirmation.

Enables coding agents to ask typed yes/no, choice, score, and bounding-box questions about code, diffs, logs, and screenshots, returning structured decisions with calibrated confidence, caching, and cost controls.

Lets Claude Code or any MCP client generate images through the official Codex CLI using an existing ChatGPT plan login, with no API key or separate billing. Supports prompt-driven generation with base and reference images, writing results to a chosen path.

Provides AI clients with access to FlowMusicAI's pricing, documentation, and FAQ, enabling them to answer questions about the AI music generator.

MCP server that fetches web pages and uses local Qwen models to answer questions about their content, with site-scoped search and map-reduce chunking for long pages.

A read-only MCP server that provides information about Mistral's Le Chat AI, including models, pricing, FAQ, and official links, without requiring API keys.

An MCP server that wraps the OpenAI Codex SDK to deploy multiple specialized AI agents with individual configurations for models, sandboxing, and behavior. It enables users to manage dedicated tools for tasks like code review and test writing through a customizable agent factory.

MCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.

Enables AI coding agents to get one independent reviewer that first reasons about a problem without seeing the proposed solution, then compares it against the revealed proposal and returns a compact verdict (KEEP/MODIFY/REPLACE/INSUFFICIENT_EVIDENCE) with risks, an alternative, and a falsification probe before committing to expensive decisions.

Routes tasks to the optimal AI model based on task type and benchmark scores across 25+ platforms. Automatically selects the best model for coding, reasoning, writing, and more using public benchmark data.

Enables users to check AI-assisted drafts for writing-pattern findings, locally clean selected hidden Unicode and lookalike characters, and optionally request API-key-authorized rewrites.

Provides tools to inspect local GGUF and safetensors model files, returning metadata, tensor info, and VRAM estimates without reading tensor data. Enables asking natural-language questions about model architecture, quantization, size, and compatibility.

Exposes canonical knowledge about DeepSeek FR (models, pricing, FAQ, official links) to MCP-compatible AI clients, enabling querying of site information without API keys.

QueryBridge is a local AI application that connects a MySQL database to an Ollama-powered language model through an MCP (Model Context Protocol) tool server. It lets you ask natural-language questions about your data while keeping database access structured, safe, and local.

An MCP server for discovering and querying over 300 AI models available on OpenRouter. It enables users to list, search, filter, compare, and get detailed information about models with pricing, context limits, and capabilities.

Qencode MCP server that connects AI clients to the Qencode Transcoding API via OAuth, allowing agents to submit, monitor, and reason about video transcoding jobs, including HLS ABR ladders, MP4 encoding, thumbnails, subtitles, transcriptions, and DRM packaging, plus Qencode Media Storage bucket and object management.

Lets AI hosts answer questions about Kenda token spend and waste directly from the terminal.