Best for
- AI coding agents that need failure-recovery knowledge during task execution
- Developers who want public debugging knowledge managed with Git and Markdown
- Users who prefer zero-dependency, database-free deployment
M
MisakaNet MCP Server
Community
Git-backed failure memory for AI coding agents.
GitHub source repository ↗
52FMRS · D
The source positions MisakaNet as a failure-recovery knowledge layer for AI coding agents, not as general memory, an agent runtime, or a vector database. It clearly supports local stdio execution and provides a remote Bearer-token configuration example, but it does not list specific MCP tool names, so the tools list is empty.
MisakaNet is a zero-dependency, Git-backed failure-recovery knowledge layer that searches documented debugging experiences and returns fix paths for AI coding agents. It uses the Python standard library and BM25 keyword search, and is available through MCP, CLI, or intake.
Tools
The tool list has not been reviewed yet.
Setup
Remote setup: visit https://misakanet.org/connect to generate configuration, then add it to the client. The configuration uses https://misakanet.org/mcp with a Bearer token. The source documents local MCP startup with python3 scripts/mcp_server.py.
claude_desktop_config.json
{"mcpServers":{"misakanet":{"url":"https://misakanet.org/mcp","headers":{"Authorization":"Bearer YOUR_TOKEN"}}}}
Fit and risk
Not for
- A general-purpose memory system
- An AI-agent runtime or framework
- A vector database or RAG system
- A skill marketplace
Required permissions
- Local stdio setup requires running Python 3 and accessing the MisakaNet source and lesson files
- Remote MCP setup requires using the supplied Bearer token to access the remote endpoint
- Contributing or submitting an intake report requires intentional submission of content
Risks and side effects
- Lessons are community-contributed; review and sandbox commands before executing them
- A retrieved fix may not apply to the current environment
- Remote use involves sending searches to the service and handling an access token
Troubleshooting
- Confirm Python 3 is available and run python3 scripts/mcp_server.py from the correct MisakaNet directory
- For remote setup, verify the endpoint is https://misakanet.org/mcp and the Bearer token is valid
- Search using the specific error text or relevant keywords, then check each lesson's verification steps
- Confirm the client supports MCP and has loaded the configuration correctly
Use cases
Search recovery lessons for DCO, pip timeouts, GitHub 401 errors, MCP setup, and encoding issues
Find documented fix paths when CI failures or recurring errors occur
Provide AI agents with shared, auditable debugging experience
Supported clients
CursorPartial support
Claude CodePartial support
CodexPartial support