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The cannot import name streamablehttp_client error appears because the Python mcp package 2.x deleted that function, and McpError was renamed MCPError. To get unblocked, pin mcp
Lightpanda 0.4.1 and Obscura 0.2.3 speak CDP and open the same sites as headless Chrome, but they do not pass the same tests. On arm64, driven by Playwright, Chrome passed 17 of 17 and Lightpanda and Obscura 10 each. With 8 sessions, Lightpanda loaded 5.6 times as many pages per second as Chrome, and Obscura 4 times as many.
REA (Reverse Engineer Anything) is an MIT-licensed MCP server and CLI that gives Claude Code, Codex or Cursor reverse engineering tools. I tested rea-agents 6.7.0 in Docker: it exposes 207 tools, rebuilt the graph of the Hyper Electron app and, with Ghidra 12.1.4, decompiled a C binary I compiled myself.
Keycloak 26.7.4 can act as the authorization server for an MCP server: it publishes its metadata, supports dynamic client registration and issues JWTs that FastMCP validates. It does not implement RFC 8707, so the token audience comes from a client scope and a mapper, and the MCP server must always check it.
Home Assistant 2026.10 turns its MCP server on in one click from Settings > System > AI and gives you the URL for your agent. I tested it with the Python SDK and Claude Code: 28 tools, 45 of 122 entities exposed, locks left out by default and admin accounts only.
If your server imports mcp.server.fastmcp, upgrading the mcp package to version 2 breaks it: FastMCP was renamed MCPServer. You have two destinations, MCPServer or FastMCP 4, and both require moving host and port to run(), building MCPError from a code and a message, and replacing ctx.elicit, which fails on 2026-07-28 connections.
Shieldstral is the 3B safety classifier Mistral released in August 2026: it answers yes or no to a policy written in plain language. Converted to GGUF Q8_0 with llama.cpp and served on a CPU, it blocked no legitimate one among the 100 Spanish and English prompts I prepared, but let 8 of 17 injections through.
OpenCode uses a local model when you declare an @ai-sdk/openai-compatible provider in opencode.json with the llama-server or Ollama URL and the model's context limit. Version 1.18.31 sends 7,516 tokens on its first turn, so the 4k context Ollama assigns by default without a large GPU is not enough: reserve 32k.
To migrate Langfuse v3 to v4 with Docker Compose, first upgrade ClickHouse to 26.4 while still on v3, back up PostgreSQL and ClickHouse, start v4 in dual write mode, backfill the history and cut over to events_only once every SDK is compatible. I tested it with 45,931 traces and three Python SDK versions.
DeepSeek Harness (dsh) is the open-source agent harness DeepSeek released in August 2026. It works with a local model if you declare an openai-completions provider in settings.yaml that points at llama-server, with a placeholder key and the real context size. With Qwen3.5-4B on CPU it left the tests green in 4 of 5 attempts, but slowly.
Dify Agent, the Linux-sandbox agent Dify introduced in 1.16, works with a local model once you install the Ollama plugin and switch on tool calling. With Dify 1.17.1 and Qwen3.5-4B on a CPU, the published agent returned correct figures in three out of three runs; Build mode finished none of its three sessions.
Engram is a Go binary backed by SQLite and FTS5 that gives coding agents persistent memory over MCP. It stores decisions and conventions between sessions, syncs through git and needs no Node, Python or Docker. Its search is lexical rather than semantic, and that shapes what you should save.
Herdr is a Rust terminal multiplexer that runs your coding agents inside a background server. It marks every pane as working, blocked or idle, and that status rolls up to the workspace, so you can see at a glance which agent is waiting on you.
