"Archive of Our Own" matching MCP servers:

Enables AI assistants and MCP-enabled clients to discover and call application capabilities exposed as structured, schema-defined tools, with input validation, error handling, and API/database integration. It also ships a sample client that demonstrates secure tool execution and seamless AI-agent interoperability.

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.

Tells an agent what went wrong with its own Ollama calls, in sentences with the fix: lost prompt cache and where the prompt stopped matching, context overflow, a model running partly on CPU, tool schemas crowding the prompt. Also the last turn in numbers and which local models fit in video memory. Local, read-only, nothing leaves the machine.

Connects AI agents to the Archive of Our Own for full-filter fanfiction search, live canonical tag resolution, and work metadata lookup, and lets a cheap secondary model read up to 20 entire fics per call to return structured reports with prose samples and rankings. Can be run over stdio or hosted as a stateless Streamable-HTTP endpoint so remote clients and container deployments can reach it.

Enables AI agents to perform dynamic and reflective problem-solving through a chain of thoughts, allowing them to break down complex problems, revise past thoughts, and explore logic branches before reaching a conclusion.

Enables image generation and editing through the Gemini web app using your own browser session cookies, avoiding API keys and per-image billing.

Use APIKO image and video models from Claude Code and Codex with your own API key: look up models and request fields, quote a list price, generate images and videos, follow tasks and upload reference images.

Enables AI agents to browse, price, rent, manage, and stop GPUs, top up balances via x402, and register their own accounts, with read-only defaults until spending is explicitly enabled.

Open-source CLI + MCP server that asks real AI engines (ChatGPT, Claude, Gemini, Perplexity) real buyer questions and scores whether a brand or its products get recommended (AI visibility / GEO / AEO). Runs locally with your own API keys.

Two AIs. One answer. ChatGPT and Claude discuss with each other until they agree, through your own signed-in CLIs: no API keys. Both read your project (never change it) and search the web. Plugin for Claude Code, Codex, Claude Desktop and the ChatGPT app.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.

Routes questions to a council of AI models (local and cloud) and synthesizes their answers in five configurable modes: individual, categorized, deconflicted, pooled, and dialectic.

Lets a text-only LLM read images and PDFs by delegating to a vision model running on your own GPU.

Enables OCR-enabled PDF to Markdown conversion in Claude Code, with per-page inspection and hybrid handling of text, scanned, mixed, and blank pages via a local vision-model endpoint.

Enables MCP clients to run multi-model deliberation (Fusion) via background jobs, using a panel of models and a judge to synthesize high-quality answers.

MCP server for Hubris, an OpenAI-compatible LLM gateway billed in rubles. Exposes the catalogue of 500+ models with ruble pricing, the account balance, and chat completions with full parity to POST /v1/chat/completions.

Enables video generation via MiniMax's official V2 API using your own API key, integrating with mcode for submitting and querying video tasks, with automatic mp4 downloads.

Provides structured OCR with verified bounding boxes using the space-ocr API. Allows extraction of structured fields from document images and listing of built-in templates.

Provides a sequentialthinking tool for dynamic, reflective problem-solving via chain-of-thought reasoning. Supports local Stdio and remote SSE deployment on Google Cloud Run.

Enables discovery and invocation of AI agents from the ForceDream platform. Provides cryptographic verification of agent outputs for trustless task integrity.