"Chain MCP Experimental Results" matching MCP servers:

An MCP server that enables Claude Code and Claude Desktop to generate and edit images using OpenAI's gpt-image-2 model, with results saved to disk.

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.

MCP server for SimplyPNG background removal APIs. Enables AI agents to remove backgrounds from images, estimate credits, check job status, and download results programmatically.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

Lets MCP clients delegate tasks to the Google Antigravity CLI, including starting and continuing conversations and listing models, while returning structured results over stdio.

Manages brand monitoring projects, runs scans across 350+ LLMs, and analyzes results through natural language.

Generates images via any OpenAI-compatible API, auto-detecting image models and saving results to disk with optional inline previews.

Enables AI agents to analyze images via user-configured cloud vision APIs (Gemini or OpenAI-compatible), returning structured results such as summaries, OCR text, and objects.

An MCP server that grades prompts against a validated rubric, tracks real outcomes, and provides guidance grounded in research on what predicts good results.

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.

An MCP server that lets an agent read its own eval results, run suites, explain failures, check drift, and view judge calibration status.

Exposes TELOS governance primitives—action scoring, receipt verification, Purpose Anchor inspection, audit-chain queries, and CCRS counterfactual replay—as MCP tools, resources, and prompts for any MCP-compatible client.

Enables MCP-compatible clients to discover Maginary's image/video generation flags, submit generation requests, and poll for results, including support for API-key and OAuth authentication.

Enables image generation, editing, and composition using any OpenAI-compatible Images API within MCP clients, Dify, and n8n, delivering results as image blocks, structured fields, or resource links.

Cryptographic receipts for AI outputs — signed, chain-anchored, $0.001/call

A local MCP server that integrates Step Plan API for image generation and text-to-speech, allowing MCP-compatible clients like Codex to use these capabilities without switching models.

Enables finding TikTok and YouTube micro-KOLs, classifying their niches, scoring campaign fit with Jev, and drafting outreach emails, with results cached locally in SQLite.

Enables MCP clients to submit public video links or local video files for analysis and receive AI-generation probability scores for picture and sound, with tools to retrieve results and check remaining credits.

Enables MCP clients to browse and purchase agent packages and pay per call for model inference on Robinhood Chain using USDG, with no account or API key required.

Exposes a Jev decision model as four read-only MCP tools so agents can make bounded probabilistic decisions: choosing among explicit alternatives, routing among known tools or subsystems, scoring change risk, and evaluating yes/no gates against thresholds. Results are advisory only, meant as a second-opinion layer that never replaces deterministic evidence or host-model reasoning.