Claude MCP Server & AI Model Integrations
Connect Claude MCP server, OpenAI MCP server, and LLM MCP integrations to your workflow. Access GPT-4, Hugging Face, Ollama, and more through the Model Context Protocol.
PayBridge Exotics
Production-grade exotics MCP: commodities, freight derivatives, RWA tokenization, parametric insurance, NSFR/LCR risk for AI agents.
calc
44 tools for exact, auditable math that never lies. Exact decimal & financial math (compound interest, loans & amortization, NPV/IRR/XIRR, CAGR/ROI, depreciation, full TVM: PMT/FV/PV/NPER/RATE, APR<->APY), unit conversion, dates / business-days / holidays, statistics (percentiles, quartiles, mode, correlation), cryptographically-secure RNG, and an exact-decimal expression evaluator. Audit receipt per call, no network, no PII.
CheapRouter
An MCP server that routes LLM completion requests to the cheapest available provider, selecting dynamically based on token price, region, latency, and availability.
TruthLens
AI Hallucination Detector — Formally verified trust scoring for LLM outputs. Analyze AI-generated text for hallucination risk with no API keys, no LLM calls. Fast, local, and formally verified in Lean 4.
Bias Detection
AI Bias Detection and Fairness Assessment for AI agents. Capabilities: quick bias scan, demographic bias detection, fairness metrics, mitigation recommendations, regulatory compliance check. Built by MEOK AI Labs.
EU AI Act Compliance
EU AI Act (Regulation 2024/1689) compliance MCP — risk classification, 42-point audit, Article 11 documentation, penalty calculator, post-Digital Omnibus timelines. By MEOK AI Labs.
Popular AI MCP Servers
Official and community integrations for AI models
OpenAI MCP Server
Anthropic Claude MCP
Direct integration with Claude models for advanced reasoning and analysis
Hugging Face MCP
Access thousands of open-source models from Hugging Face Hub
Ollama MCP Server
Run local LLMs like Llama, Mistral, and Code Llama on your machine
Large Language Models (LLM)
Connect to GPT-4, Claude, Llama, Mistral and other LLMs for text generation
OpenAI GPT MCP
Claude API MCP
Ollama MCP
Groq MCP Server
Together AI MCP
Replicate MCP
Image Generation
Generate images with DALL-E, Stable Diffusion, Midjourney, and Flux
DALL-E MCP Server
Stable Diffusion MCP
Midjourney MCP
Flux MCP Server
Embeddings & Vector Search
Generate embeddings for semantic search, RAG applications, and similarity matching
OpenAI Embeddings MCP
Cohere MCP Server
Voyage AI MCP
Jina Embeddings MCP
Speech & Audio
Transcribe audio with Whisper, generate speech with ElevenLabs
Whisper MCP Server
ElevenLabs MCP
AssemblyAI MCP
Deepgram MCP
What Can AI MCP Servers Do?
Text Generation
Generate code, content, summaries, and translations using LLMs.
Image Creation
Generate images, edit photos, and create visual content with AI.
Document Analysis
Extract information, summarize documents, and answer questions.
Local Inference
Run models locally with Ollama for privacy and offline use.
Compare AI MCP Servers
Choose the right AI integration for your workflow
| Feature | OpenAI | Claude | Ollama | Hugging Face |
|---|---|---|---|---|
| Text Generation | ✓ | ✓ | ✓ | ✓ |
| Image Generation | ✓ DALL-E | — | SD models | ✓ |
| Local/Private | — | — | ✓ | Partial |
| Function Calling | ✓ | ✓ | Some models | Varies |
| Embeddings | ✓ | — | ✓ | ✓ |
| Free Tier | Limited | Limited | ✓ Free | ✓ Free |
Frequently Asked Questions
What is an AI/ML MCP server?
An AI/ML MCP server exposes a model or model family (GPT-4, Claude, Llama, Hugging Face, Ollama) as MCP tools that any MCP client can call. Inside Claude Desktop or Cursor, calling an OpenAI MCP server feels like Claude is calling GPT-4 directly — useful for cross-model evaluation, embeddings, image generation, or routing.
Should I use a hosted model MCP (OpenAI, Anthropic) or a local one (Ollama, LM Studio)?
Use hosted when you need top-tier quality, vision, or function calling that local 7B-13B models can't match — pay per token, no GPU. Use local when you need privacy (PII, code that can't leave the machine), zero per-token cost on heavy workloads, or offline access. The hybrid pattern: local Ollama for fast/cheap tasks, OpenAI MCP for hard ones, routed by an orchestrator MCP.
Does ChatGPT (the product) support MCP servers?
ChatGPT Desktop began rolling out MCP support in late 2025 but coverage is partial — tool calls work, resources/prompts are limited. Claude Desktop and Cursor remain the most complete MCP clients. To use GPT models from Claude, install an OpenAI MCP server in Claude Desktop instead of trying to plug MCP into ChatGPT.
How much does it cost to run an OpenAI MCP server?
The MCP server itself is free — what you pay is OpenAI API usage per call. As of May 2026: GPT-4o ~$5/$15 per million tokens (input/output), GPT-4o-mini ~$0.15/$0.60. Most AI/ML MCP servers add no markup; you bring your own OpenAI key. Track usage in the OpenAI dashboard, not in the MCP server logs.
Can a single Claude session use multiple model MCP servers?
Yes — install OpenAI MCP, Hugging Face MCP, and Ollama MCP side by side. Claude picks the tool per call based on name and description. Watch context: each model response is appended to Claude's context, so cross-model calls eat your context window fast. Keep responses short, summarize between calls.
What's the difference between an LLM MCP server and an embeddings MCP server?
An LLM MCP server returns text completions. An embeddings MCP server returns vectors — for similarity search, clustering, retrieval. Most AI/ML MCP servers do both via separate tools (e.g. `openai_complete` and `openai_embed`). For RAG over your own data, pair an embeddings MCP with a vector-store MCP like Pinecone or Qdrant — see the RAG category.
How do I add an OpenAI MCP server to Claude Desktop?
Install from MCPize via the in-product install link, or manually: `npm install -g @openai/mcp-server`, then add to `claude_desktop_config.json` under `mcpServers` with your `OPENAI_API_KEY` in `env`. Restart Claude Desktop. Test with a simple call: "Use OpenAI to summarize this in 50 words."
Can I evaluate Claude vs GPT-4 from inside Claude Desktop?
Yes — that's one of the best uses of model MCP servers. Install OpenAI MCP and ask Claude to call GPT-4 on the same prompt, then compare. For systematic eval (BLEU, exact match, judge-LLM scoring), pair it with a dataset MCP that returns benchmark examples one at a time.
Build a Custom AI MCP Server
Create custom AI integrations for your models. Build an MCP server, publish to the marketplace, and earn 83% of every sale. Help developers build smarter AI applications.