MisakaNet

What Ikalus1988/MisakaNet MCP server does

Ikalus1988/MisakaNet MCP server provides searchable failure-recovery knowledge for AI coding agents. Its content is organized as lessons drawn from engineering debugging sessions, with evidence levels from E0 through E4. The repository describes more than 300 lessons covering areas such as RAG, DevOps, FANUC, Docker, and Feishu; the directory description reports a smaller verified subset, so the available count may change over time.

The intended workflow is straightforward: an agent encounters an error, searches the lesson collection, retrieves a relevant lesson, and follows the documented recovery path. The project states that it does not store raw logs or leak prompts. Search uses BM25 and SAG-Lite according to the listing description.

How it works

The project can be used as a local stdio MCP server or through the hosted HTTP endpoint at https://misakanet.org/mcp. A local deployment runs the repository's Python server directly and does not require a separate database or server process. The remote endpoint accepts MCP requests over HTTP; the quick-start material shows requests using JSON-RPC and an MCP protocol-version header.

Anonymous remote access is available without a GitHub account, email address, or bearer token for the documented initial use. The repository also describes a registration flow that returns a node ID and token for unlimited remote searches. Local stdio use is described as unlimited. Browser-based agents can discover the hosted tools through WebMCP, although the README identifies that capability as a developer preview requiring a compatible browser agent.

Setup and configuration

For local use, clone the repository and run:

python3 scripts/mcp_server.py

The README also documents a PyPI package and a Python library package, but those are separate installation paths from running the repository's MCP server. MCP client configuration must point to the local Python command and script. Cursor is explicitly listed as a supported local client, and the project also mentions Claude Code and Codex. The material does not provide a Claude Desktop configuration block.

The optional MISAKA_DEBUG environment variable enables diagnostics. A value of 1 adds authentication error context, while 2 enables request and response logging. Debug context is otherwise stripped by default.

Tools and capabilities

The MCP interface includes tools named misakanet_search and misakanet_get_lesson for finding and reading lessons. The README also lists misakanet_submit_intake, misakanet_write_lesson, misakanet_preflight, misakanet_register, and misakanet_me_events. The current listing describes the interface more generally as search, lesson retrieval, and usage submission, so exact tool availability may depend on the deployed version.

The repository also advertises five resources and three guided prompts in the directory description. Its broader agent-facing surface includes WebMCP, llms.txt and llms-full.txt files, and A2A discovery through an agent-card endpoint. These are documented project interfaces rather than claims that every MCP client exposes them identically.

Limitations and notes

Ikalus1988/MisakaNet MCP server is a knowledge lookup service, not an execution environment or a replacement for reproducing an error. Lesson quality depends on the available Git-backed content and its evidence level. Remote usage has quota and registration behavior that differs from local use: anonymous browser agents share a documented five-free-reads-per-day quota, while registration is offered for unlimited remote access.

The README shows both a hosted MCP deployment and local operation, but it does not establish that all listed client integrations support every interface. Use the local server when predictable, unlimited stdio access is required, and use the hosted endpoint when avoiding installation is more important.