Every change Wellknown observed on this MCP server, newest first, with what it was before and what it became. Tool-surface changes carry the definition diff. Nothing here is edited after the fact.
Recently observed → Live
Live → Recently observed
Recently observed → Live
Added "freedom_semantic_embeddings"; changed the definition of "freedom_llm_inference" (14 tools before, 15 now)
Ultra-Fast Flagship LLM Chat & Reasoning Gateway (10 Sats / $0.009 USDC | 2 FREE Trial Calls/IP)
⟨5 unchanged words⟩ and Reasoning Gateway powered by OpenAI GPT-OSS 120Band, Qwen 3.8 27B, and Llama Prompt Guard 2 on Groq LPUs (~300 tokens/sec | 100/100 SLA Guaranteed | Eligible for 2 FREEdryRun=trueExecutionsPre-Checkper IP with zero registration!). Compatible with standard OpenAI message arrays. Payable after 2 free calls via x402 (Base/Solana USDC), L402 Lightning, or m2mPass.
Live → Recently observed
Recently observed → Live
Unknown → Recently observed
First tool surface recorded: 14 tools (server version 2.5.0)
https://m2mfreedom.com/sse (mcp_sse) — from mcp_registry, with the record
https://m2mfreedom.com/mcp (mcp_streamable_http) — from mcp_registry, with the record
Showing the latest 10 events. The API returns up to 500 and filters by kind: ?kind=tool_surface_changed
⟨2 unchanged words⟩ description":"Optional L402 or x402 payment proofheader.header, or \"FreeTrial\".","type":"string"},"dryRun":{" ⟨9 unchanged words⟩ readiness check.","type":"boolean"},"freeTrial":{"description":"Set true for 2 FREE execution passes per unique IP (zero registration required).","type":"boolean"},"m2mPass":{"description":"Optional Prepaid Session Pass ⟨41 unchanged words⟩ identifier: \"openai/gpt-oss-120b\" (default flagship reasoning)or, \"qwen/qwen3.8-27b\",(fast)\"openai/gpt-oss-safeguard-20b\", or \"meta-llama/llama-prompt-guard-2-86m\".","type":"string"},"prompt": ⟨31 unchanged words⟩
High-Density Semantic Embeddings Vector Generator (10 Sats / $0.009 USDC | 2 FREE Trial Calls/IP) — OpenAI-compatible Dense Semantic Vector Embeddings Generator supporting text-embedding-3-small (1536d), text-embedding-3-large (3072d), bge-large-en-v1.5 (1024d), and nomic-embed-text-v1.5 (768d) with L2-normalized unit vectors for RAG, vector search, and agentic memory (~25ms latency | 100/100 SLA | Eligible for 2 FREE Executions per IP with zero registration!).